c-ECO INSTITUTESYSTEMIC INTELLIGENCE LIBRARY · WAT

c-ECO SYSTEM / DOMAIN LIBRARY

WAT · Domain knowledge

Water & Sanitation

Risks · Response · Governance · Calibration
Scenarios · Recovery · Sources

c-ECO Institute crest

A domain library connecting systemic risks, monitoring, governance and recovery. Explore nine parts and 35 sections with mechanisms, observations, evidence matrices and documented cases.

English research and learning edition · Scientific references, domain cases and reproducible exercises. Methodological notes →

READING AND EVIDENCE

How to use this library

The library combines domain research, a c-ECO analytical teaching structure and original exercises. References identify mechanisms, methods and documented cases; inclusion does not validate a complete TFP application.

N1 · Analytical and simulated material
The risk–TFP associations, candidate observations, scenario designs and exercise parameters organize inquiry. They are not measured local results, approved operational thresholds or estimates of event frequency. The case must define its function, observations and criteria.
N2 · Reproducible laboratory
Section 20 specifies a synthetic model, assumptions, dependence and random seed. Its Q output is a pedagogical index, separate from SPS. Numerical summaries describe only that declared experiment.
N3 · Sources and scope
Research papers, official documents and case records have distinct roles. This is a curated teaching library, not an exhaustive systematic review. Dynamic sources require a cited version or extraction date; applicability of a legal or technical instrument depends on the actual jurisdiction and activity.
N4 · Governance and learning
The library establishes no statutory power, quorum, emergency command, provider certification, partnership or institutional endorsement. A learning case may be real or simulated. Completion, optional credentialing, permission to submit and licensing remain distinct. Projects and data contributions to the SIL require an associated fellow and applicable review.

PART I

Domain intelligence profile

SECTION 01

Domain overview and system boundary

A water case connects a source to delivered service and to the environment receiving withdrawals and discharges. Define the source, abstraction, treatment, storage, distribution, sanitation and drainage functions separately. A city surrounded by water may still lose potable supply through energy or treatment failure. Population coverage, continuous delivery and microbiological safety therefore require different observations. Include users who receive service through informal or alternative arrangements rather than treating the network connection as the complete outcome. [R01; R24; R47]

Water and sanitation connects source ecosystems, abstraction, treatment, storage, distribution, wastewater and stormwater to the users and environments that depend on them. Define the function whose loss is being anticipated before selecting indicators.

The scope can be a utility, a reservoir, an aquifer, a basin, an urban drainage corridor or an interconnected service area. Source availability, quality, delivered service and recovery are linked but distinct analytical objects.

A learning case can be real or simulated. The library supplies mechanisms, evidence questions and research methods; local thresholds and operational responsibilities require case-specific evidence and the applicable review.

A domain label is not yet a case boundary. Separate the condition of a resource or asset from the function delivered to users. A nominally available installation may fail to deliver usable service, and a system-wide average can conceal localized loss. Preserve the original physical or institutional unit alongside any normalized representation. The boundary should make it possible to ask what enters, what changes, what leaves and who experiences the consequences.

Case-analysis method
Case fieldRecord
FunctionDescribe the outcome delivered, affected users and the minimum useful unit of service.
BoundaryRecord spatial, technical, organizational and temporal boundaries, including excluded processes.
Reference conditionState what counts as functional performance and which evidence defines that condition.
Exposure and distributionIdentify which groups, assets and ecological functions can be affected differently.
DependenciesIdentify prerequisites, substitutes and common points of failure.
ObservationConnect each important claim to a source, method, scale and update interval.

Section readings [R01; R24; R47]

SECTION 02

Historical development and changing conditions

Historical development joins physical assets to social feedbacks. A protective structure can change settlement incentives, exposure and memory of past flooding. Source development can also commit a city to long-lived operating and maintenance dependencies. Reconstruct changes in demand, land cover, abstraction, operating rules and measurement practice before comparing event frequencies. Nonstationarity is a reason to examine the mechanism and test assumptions, not to discard historical evidence. The useful question is which relationships have changed and which observations still constrain them. [R02; R10; R25]

A historical baseline must be examined for changes in exposure, technology, operating practice and observation. Compare episodes using their mechanisms and evidence, rather than treating all events with a similar label as exchangeable observations. A reconstruction should show what was known at each time; later explanations should not be presented as information available to the original decision maker. Recovery and long-term change may require a separate timeline from the initiating incident.

Historical comparison: documented records for further study
Case and periodMechanism to examineComparison questionSource
Flint, United States / crisis beginning 2014Water-quality management and delayed institutional responseSeparate detection, interpretation, authority and action.[R37]
Walkerton, Canada / 2000Microbial contamination and failures of protection and supervisionTrace multiple barriers and the evidence available to each actor.[R38]
Oroville, United States / 2017Spillway damage and protective evacuationDistinguish spillway mechanisms from a dam breach that did not occur.[R39]
Jackson, United States / 2022Service interruption and restoration constraintsFollow prerequisites and verification of delivered water service.[R40]

Section readings [R02; R10; R25]

SECTION 03

Actors, institutions and decision responsibilities

Water institutions often divide responsibility for the resource, the service, public health, environmental protection and emergency coordination. Map each function and its actual decision interface. A laboratory result can be technically clear while the route from notification to protective action remains ambiguous. Record how operators, authorities, researchers and affected communities provide information and challenge an interpretation. Examine capacity and accountability together: a named responsibility does not demonstrate that the actor has the means or timely information to perform it. [R11; R30; R31]

Map actors by the function they perform and the responsibility they actually hold in the case. The same organization may observe a condition, supply a service and participate in a decision; those roles should remain distinguishable. Examine information access, resources, expertise, affected users and accountability together. A list of institution names is not an operating governance arrangement. Record the evidence for each responsibility and the process for resolving a disagreement or correcting a record.

Case-analysis method
FunctionActors to identifyReviewable output
ObserveOperators, observation networks, laboratories and affected usersTimestamped records and methods.
InterpretAnalysts and relevant subject specialistsMechanism hypotheses, alternatives and uncertainty.
ReviewQualified reviewers with declared interestsDocumented assessment and unresolved disagreements.
Decide and executeThe actor with the applicable mandateReasons, authorized action and verifiable completion.
CommunicateResponsible institutions and accessible public channelsMessage, receipt, corrections and feedback.
UpdateData custodians and the review functionVersion, new evidence and conditions for revision.

Section readings [R11; R30; R31; C07]

PART II

Systemic risk intelligence

SECTION 04

Primary systemic risks

Water risk should be organized by how the function can be lost. A drought changes availability; a damaged intake changes usable abstraction; contamination changes treatability or safety; an outage changes delivery. Several mechanisms may coexist without being equivalent. Separate primary threats from chronic exposure and from amplifiers such as dependence on one source. The inventory below is a starting point for mechanism-based investigation across quantity, quality, physical integrity, operation and recovery. It does not imply that each risk is present in every water system. [R01; R23; R24; R25]

The inventory is a structured set of research hypotheses. It separates a threatening condition from the mechanism of loss and from its consequences. The proposed TFP association indicates which question to investigate; it is not evidence that a particular indicator predicts the event. Risk importance depends on the defined function, exposure, duration and usable alternatives. Do not infer frequency, severity or priority from the position of a row in the table.

Thirty domain-specific risk hypotheses
#Risk or threatening conditionMechanism to examineProposed TFP inquiry
1Multi-year drought / water scarcityReservoir & aquifer depletion (Cape Town, Chennai)P, ΔV
2Microbial contaminationE. coli, cholera, Cryptosporidium (Walkerton)P, σ
3Chemical contamination (lead, PFAS)Corrosion control failure (Flint); forever chemicalsP, σ
4Dam / levee failureStructural collapse → flood (Banqiao, Derna)P, Lr
5Tailings dam failure (mining)Toxic mud contaminates basins (Mariana, Brumadinho)P, σ
6Major flooding overwhelms WWTPSewage overflow + treatment bypassP, ΔV
7Aging pipe failure (mains, leakage)High non-revenue water; main breaksLr
8Treatment chemical supply disruptionChlorine, coagulant shortage halts treatmentLr → P
9Energy dependency for pumping/treatmentBlackout → no pressure, no treatmentP → Lr
10Operational-technology compromiseLoss of trusted control, supervision or availability in water and wastewater systemsσ, ΔV, Lr
11Saltwater intrusion (coastal aquifers)Over-abstraction + sea-level riseP, ΔV
12Groundwater depletion (over-abstraction)Aquifer mining; land subsidenceP, Lr
13Glacial-melt source lossLong-run loss of glacier-fed basinsP, ΔV
14Transboundary water conflictUpstream diversion (Nile/GERD, Indus, Mekong)σ, Lr
15Harmful algal blooms (HABs)Microcystin toxins (Toledo 2014)P, σ
16Emerging contaminants (PFAS, pharma)Untreated micropollutants; regulation shockσ
17Combined sewer overflow (CSO)Storm-driven untreated dischargeP
18Desalination brine / energy intensityBrine disposal; high energy cost dependencyP, Lr
19Wildfire ash & benzene contaminationPost-fire pipe contamination (Camp Fire 2018)P, σ
20Pipe freeze / cold-weather main breaksMass main breaks (Texas 2021)P, ΔV
21Agricultural runoff (nitrates)Source-water nitrate & nutrient loadingσ
22Earthquake pipe/dam ruptureSeismic damage to mains & storageP
23Sea-level rise on coastal infrastructureInundation of intakes & WWTPsΔV
24Megacity demand growth outpacing supplyUrbanization exceeds source capacityP, ΔV
25Real and apparent water lossesLeakage and incomplete metering complicate the balance and reduce delivered serviceP, Lr
26Legionella / biofilm in distributionStagnation & low residual disinfectionσ
27Microplastics and uncertain exposureDetection methods and incomplete evidence require separate assessment of presence, exposure and health consequencesσ
28Single-source reservoir dependencyOne reservoir/aquifer for a major cityP
29Climate precipitation regime shiftSnowpack loss; flashier rainfallΔV, σ
30Physical sabotage / poisoning of supplyDeliberate contamination or infrastructure attackP, σ

Section readings [R01; R23; R24; R25]

SECTION 05

Amplification mechanisms and secondary risks

Similar rainfall or contamination can produce different outcomes where source concentration, maintenance, workforce, access or institutional coordination differ. Investigate the time at which an alternative ceases to be useful. A reserve pump shares the original vulnerability if both use the same flooded power supply; an alternative laboratory may not help if samples cannot reach it. Frame each amplifier as a counterfactual and connect it to an observation of capacity or delay. This separates plausible explanation from simply adding more risk labels. [R06; R07; R24]

An amplifier changes the consequences of an initiating condition without necessarily causing the initiating event. Useful counterfactuals hold the threat constant and vary concentration, maintenance, access, information or response capacity. Document the mechanism and the observation that would distinguish it from an alternative explanation. Several amplifiers may share the same upstream cause; counting each one as independent evidence exaggerates confidence.

Amplification mechanisms
AmplifierPropagation mechanismEvidence or TFP inquiry
Source concentrationSingle reservoir/aquifer for a metro areaP (single-point dependency)
Water-energy deadlockWater needs power to pump; power needs water to coolLr (mutual lock-in)
Compound hazardDrought + heatwave + demand surge togetherσ (compound not modeled)
Human capital erosionLoss of skilled operators & institutional memoryLr (no reversibility)
Chronic underfundingDeferred maintenance on aging assetsLr (rising failure rate)
Transboundary fragmentationNo binding allocation across bordersLr (no coordinated response)
Monitoring blind spotsEmerging contaminants unmeasuredσ (hidden exposure)
Correlated recovery resourcesAlternatives share access, power, reagent suppliers or technical personnelLr / common-cause inquiry

Section readings [R06; R07; R24]

SECTION 06

Emerging risks and research horizons

An emerging-water agenda must distinguish a new substance or technology from a changing exposure to a familiar process. PFAS monitoring depends on compound-specific methods; potable reuse depends on verified barriers and governance; connected controls add information dependencies. Microplastics require careful separation of detection, exposure and demonstrated health consequences. Changes in glacier and snow contributions concern both seasonal delivery and long-term source conditions. The research horizon should reflect the time needed to investigate or adapt, rather than a date at which harm is assumed to occur. [R14; R26; R27; R29]

A research horizon is tied to the time needed to investigate, prepare or change a system. It is not a date at which an emerging threat is predicted to occur. Record the reason for concern, the strength of evidence, the exposed function and the observation that would change the priority. Distinguish a newly observed mechanism from a known mechanism whose exposure, scale or institutional context is changing.

Emerging research agenda
Research topicMechanism or knowledge gapObservation or horizon question
PFAS and analytical coverageCompound-specific exposure, removal and changing measurement capabilityTrack analytical methods and evidence relevant to the source.
Prolonged droughtJoint evolution of availability, demand and operating constraintsObserve the balance, persistence and feasible alternatives.
Potable reusePerformance of treatment barriers and institutional acceptanceDefine verification, monitoring and public information.
Connected water systemsNew digital dependencies and loss of trusted observationInventory dependencies and test safe recovery.
Desalination expansionEnergy, salinity discharge and usable standby capacityObserve process constraints and the receiving environment.
Changing snow and glacier contributionsSeasonal and long-term changes in upstream sourcesCombine source observations, inflow and downstream demand.

Section readings [R14; R26; R27; R29]

SECTION 07

Cascades and cross-domain dependencies

Water and energy illustrate a directed dependency that can operate in both directions through different mechanisms. Electricity supports pumping and treatment, while some generation depends on water availability. An extreme event can also strike both systems directly, producing common-cause failure rather than a cascade. Trace the chronology before choosing a model. Hospital water loss, irrigation restrictions and disrupted laboratory access connect the initial loss to other functions on different time scales. Each arrow needs a process, a useful delay and case evidence. [R06; R07; R12]

Availability can deteriorate through persistent imbalance between replenishment and withdrawal, or become unusable because the abstraction geometry and water quality change. [R13; R19]

Treatment depends on raw-water conditions, controls, inputs, energy and qualified operators. A source problem can become a service problem through a barrier that is not designed for that condition. [R23; R24]

Distribution depends on integrity and pressure, but restoration of hydraulics alone cannot demonstrate safety after a contamination mechanism. [R15; R24]

For each directed dependency, specify the function supplied, the destination, the propagation time and the substitute. Shared-cause failure, interacting threats and cascading propagation are different structures. A directed arrow becomes an explanatory claim only when the timing and mechanism are supported. Test apparent redundancy by removing the common access route, platform, energy supply or specialist on which both alternatives depend.

Directed dependency hypotheses
DependencyMechanism and directionVerification or TFP inquiry
Energy → WaterBlackout → pumps/treatment fail → no supplyP → Lr
Water → EnergyCooling-water loss / low reservoirs → generation derateP → Lr
Water → HealthcareContamination/loss → disease + hospital strainP → Lr
Water → AgribusinessIrrigation loss → crop failureP → σ
Climate/Weather → WaterDrought/flood → scarcity or treatment bypassΔV → P
Mining → WaterTailings failure → basin contaminationσ → P
Digital systems → WaterCompromised control or unavailable telemetry can degrade trustworthy operationσ, P, Lr
Digital → WaterSCADA/comms loss → blind operationP → Lr
Water → DigitalCooling-water loss → data-center thermal shutdownP → Lr
Governance → WaterTransboundary dispute → upstream diversionσ → Lr

Section readings [R06; R07; R12; C01; C02]

PART III

Systemic response intelligence

SECTION 08

Readiness and response protocols

Readiness begins before a public warning is needed. Identify priority users, usable source alternatives, tested treatment controls, distribution routes and verification capacity. The appropriate sanitary message depends on the hazard: boiling is not a universal remedy for chemical contamination. Separate the observation triggering investigation from the condition requiring a competent protective decision. A water safety plan can organize preventive controls and review across the supply chain, while an exercise tests how those controls perform when an assumed prerequisite is missing. [R23; R24; R37]

Preparedness connects a signal to a responsible actor, an available measure and a condition of completion. This learning architecture does not grant emergency command or operational authority to the c-ECO Institute or a course participant. A useful protocol distinguishes checking the signal, protecting exposed functions and verifying recovery. A paper plan contributes to usable capacity only when its relevant assumptions have been tested.

Case-analysis method
StageAction to prepareEvidence
PrepareDefine critical functions, contacts, alternatives and observation coverage.A tested readiness record.
VerifyCheck the signal, the instrument and plausible alternative explanations.A traceable observation and uncertainty statement.
ProtectSelect and implement measures within the responsible actor’s authority.Coverage of priority functions and evidence of execution.
RecoverVerify usable performance before treating the function as restored.Recorded return criteria, monitoring and decision owner.

Section readings [R23; R24; R37]

SECTION 09

Scientific review and decision records

A review of a water anomaly should retain the original measurement, sampling location, time, method and relevant operating state. Competing interpretations can concern instrument failure, local network conditions, a treatment problem or a changed source. Match expertise to the mechanism and record unresolved disagreement without treating consensus as another observation. The Flint investigation is useful for separating recognition, responsibility and action. The purpose is to make the route from evidence to decision inspectable, with an identified owner and condition for reassessment. [R24; R30; R37]

A review record separates observation, inference and decision. Record the data version, methods, alternative explanations, relevant expertise, conflicts of interest and unresolved disagreement. Review should be matched to the question and its consequences. Scientific analysis can inform a competent actor without replacing that actor’s mandate. No membership size, quorum or institutional power is established by this teaching library.

Case-analysis method
Review itemQuestion and record
QuestionWhat specific claim is being evaluated?
EvidenceWhich observations, sources and transformations support it?
AlternativesWhat other process could explain the same observation?
IndependenceWhich interests or shared data origins affect review?
DecisionWho can act, on what basis and with which constraints?
RevisionWhat new observation or failure of an assumption reopens the analysis?

Section readings [R24; R30; R37; C05; C07]

SECTION 10

Communication and observation continuity

A loss of telemetry can precede or conceal a loss of water service. Test communication continuity together with power and physical access. A private radio path, local operating record or alternative connectivity contributes only if its reach, autonomy and responsible personnel are demonstrated. Preserve the last reliable state and explain how uncertainty grows while observation is interrupted. When connectivity returns, reconcile time and authorship so that later analysis can reconstruct the sequence rather than treating all reports as simultaneous. [R07; R22; R29]

Continuity of observation should be tested alongside continuity of the function itself. Losing data may increase uncertainty before the physical process visibly changes. Redundancy must be demonstrated against common causes, including power, location, communications, credentials and specialist availability. During disconnected operation, preserve the last reliable observation, record the uncertainty that follows and reconcile timestamps and authorship when information paths return.

Case-analysis method
Continuity capabilityTest
Observation pathTest sensor availability, power, timing and independent confirmation.
Alternative communicationTest actual reach, autonomy and the ability to contact responsible people.
Degraded operationSpecify what can remain usable safely under loss of information or connectivity.
Offline recordKeep controlled copies of essential maps, contacts, definitions and procedures.
Accessible messagesCheck language, disability access, delivery and routes for correction.
ReconciliationPreserve timestamps and authorship when disconnected records are merged.

Section readings [R07; R22; R29; C01]

PART IV

Governance and legal architecture

SECTION 11

International instruments and technical references

The international reference set has several distinct functions. Watercourse conventions concern cooperation and applicable obligations; WHO guidance concerns health-based risk management; Sendai links risk knowledge and preparation; OECD principles address governance conditions. A reference should be connected to a specific question in the case, not used as an institutional badge. Examine whether it supplies a method, a policy objective, an investigation record or a potentially applicable legal instrument. The TFP mapping is an analytical interpretation and is separate from the instrument itself. [R23; R30; R32; R33; R34]

Classify each instrument before using it. A scholarly article supports an inference, a technical guide describes a method, a standard has a defined scope, and a legal instrument may create obligations only where applicable. The case record should identify the specific provision or method, its version and the activity to which it relates. A source’s institutional reputation cannot by itself establish applicability or demonstrate compliance.

Technical and institutional documents: identify their actual function
ReferenceDocumentUse and scope
[R21]JCGM (2008). Evaluation of measurement data — Supplement 1 to the GUM — Propagation of distributions using a Monte Carlo method. JCGM 101:2008.Explains propagation of distributions through a measurement model using Monte Carlo.
[R22]W3C (2013). PROV-DM: The PROV Data Model. W3C Recommendation, 30 April 2013.Defines provenance through entities, activities and responsible agents.
[R23]WHO (2026). Guidelines for drinking-water quality: fourth edition incorporating the first, second and third addenda. ISBN 9789240121225.WHO 2026 drinking-water-quality guidance; distinguish its health basis from local legal applicability.
[R24]WHO; IWA (2023). Water safety plan manual: step-by-step risk management for drinking-water suppliers. 2nd edition.Stepwise risk-management methods for drinking-water suppliers.
[R25]IPCC (2022). Climate Change 2022: Impacts, Adaptation and Vulnerability. Working Group II, Chapter 4: Water.Assesses climate impacts, vulnerability, adaptation and limits in the water domain.
[R26]WHO (2019). Microplastics in drinking-water. ISBN 9789241516198.Assesses knowledge and uncertainty on microplastics in drinking-water.
[R27]UNESCO; UN-Water (2025). The United Nations World Water Development Report 2025: Mountains and glaciers — Water towers.Connects mountain and glacier change to downstream water systems.

Section readings [R23; R30; R32; R33; R34]

SECTION 12

Jurisdiction-specific responsibilities and requirements

A water case can involve resource allocation, service operation, sanitary quality, environmental discharge, asset safety and data responsibilities simultaneously. A right to abstract water does not demonstrate that delivered water meets its relevant requirement. A local compliance record does not characterize the continuity of a whole territory. Use official instruments and identify the actor, activity and evidence concerned. Brazil’s water-resource policy and the EU basin-planning example can support comparison, but neither supplies one universal rule for every application. [R35; R36]

The register should cover the actual activity and location, including interfaces between organizations and jurisdictions. Separate responsibility for observing, supervising, deciding and executing. Retain the official source, version consulted and evidence needed to assess a condition. Conflicting definitions and overlapping mandates are analytical findings to investigate. A general library cannot create a universal legal threshold for all settings.

Case-analysis method
Register fieldInformation to preserve
Instrument and versionOfficial title, scope, jurisdiction and date consulted.
Actor and functionThe competent authority, operator, owner or custodian for the relevant activity.
ConditionThe requirement, decision trigger or performance obligation actually applicable.
EvidenceThe observation or document needed to evaluate that condition.
InterfaceOverlaps, conflicts, shared duties and coordination procedures.
ReviewHow changes in the instrument, activity or evidence affect applicability.

Section readings [R35; R36]

SECTION 13

Causation, accountability and cascading consequences

An observed water failure may generate direct damage, dependent service loss and environmental effects that persist after service resumes. Technical attribution must reconstruct the mechanism and chronology; legal responsibility requires its own applicable duties and determinations. Read investigations according to their objects. The EPA Flint report concerns management and response weaknesses, while the IBAMA Fundão assessment is an early account of environmental impacts. Neither should be expanded silently into a complete assessment of every later consequence. [R37; R44]

A technical chain of consequences is not automatically a legal allocation of liability. Separate evidence of causation from the duties, control and decisions relevant to each actor. A case may contain direct damage, dependent service interruption and persistent environmental or social consequences on different timescales. The analysis should show which links are documented and which need further investigation, without presuming an institutional restoration fund, mandatory levy or insurance mechanism.

Case-analysis method
LayerAnalytical question
Technical sequenceSeparate the initiating condition, failure mechanism, propagation and consequence.
Duty and controlIdentify the applicable responsibility and the actor able to influence the relevant process.
ExposureTrace the connection between a change of state and an affected function or population.
Alternative explanationsIdentify concurrent conditions and missing evidence relevant to attribution.
Recovery resourcesIdentify documented resources and their access conditions, without assuming an institutional fund or levy.

Section readings [R37; R44]

SECTION 14

Cross-boundary coordination

Basin processes cross administrative and national borders through flow, sediment, water quality and reservoir operation. A downstream actor needs information early enough to interpret and act; the useful notification time depends on propagation, exposure and mobilization. Compatible definitions and reference systems are prerequisites for joint monitoring. They do not themselves settle disagreements over allocation or acceptable effects. In an international Amazonian setting, language, observation networks and institutional arrangements must be part of the transfer analysis alongside hydrological similarity. [R12; R32; R33]

Processes and dependencies often cross administrative, organizational or national boundaries. Coordination requires compatible definitions, useful timing, authorized exchange and an identifiable decision interface. Sharing data does not by itself resolve disagreements over objectives, risk allocation or resources. An exercise should expose which decision can be coordinated under existing arrangements and which would require an additional agreement or competent determination.

Coordination across functional boundaries
Boundary / dependencyMechanism to coordinateCase record
Energy → WaterBlackout → pumps/treatment fail → no supplyIdentify the actors, notification time, information definition and decision interface for this boundary.
Water → EnergyCooling-water loss / low reservoirs → generation derateIdentify the actors, notification time, information definition and decision interface for this boundary.
Water → HealthcareContamination/loss → disease + hospital strainIdentify the actors, notification time, information definition and decision interface for this boundary.
Water → AgribusinessIrrigation loss → crop failureIdentify the actors, notification time, information definition and decision interface for this boundary.
Climate/Weather → WaterDrought/flood → scarcity or treatment bypassIdentify the actors, notification time, information definition and decision interface for this boundary.
Mining → WaterTailings failure → basin contaminationIdentify the actors, notification time, information definition and decision interface for this boundary.

Section readings [R12; R32; R33; C07]

PART V

TFP calibration intelligence

SECTION 15

Position (P): candidate observations

Position must follow the actual water function. A reservoir’s physical volume differs from the volume that can be abstracted and treated; an available network differs from continuous service at a household. For each candidate indicator, identify direction of deterioration, reference state, relevant boundary and scale. Sanitary and operational limits arise through different processes and should remain distinguishable. The indicator catalogue preserves physical units and asks how each observation supports the case, rather than assigning one generic threshold across water systems. [R05; R23; R24]

P represents position relative to a specified loss of function. The raw observation, reference condition, direction of deterioration and boundary of failure must remain explicit. A candidate monotone transformation can help compare states within a defined case, but it does not establish the threshold or validate an aggregate index. Capacity, delivered performance and exposure may require different indicators even when they concern the same installation.

Thirty candidate observations for P and related case questions
#Candidate observationUnit or definitionInterpretation and data requirement
1Reservoir storage level% of capacityUse a verified elevation–volume relation and distinguish physical storage from water that can be abstracted and treated.
2Groundwater table depthm below baselineRetain datum, well location, pumping context and seasonal variation.
3Standardized Precipitation Index (SPI)indexDeclare the reference period and accumulation window; a precipitation deficit is not itself a service deficit.
4Days of supply remainingdaysDocument usable volume, inflow and demand assumptions; inspect sensitivity to each.
5Treatment capacity margin% above demandCompare effective process capacity with demand and water-quality conditions, rather than using nominal design alone.
6Source turbidityNTURelate the observation to the actual treatment process and sampling location.
7Microbial indicator (E. coli)CFU/100mLRetain organism, method, sampling design and sanitary interpretation.
8Disinfectant residual (chlorine)mg/LInterpret with network location, process conditions and the relevant health reference.
9Chemical reserve at WTPdaysCount usable stock and stress demand; include verified replenishment time.
10Distribution pressure% of nominalRetain pressure unit, measurement point and duration; inspect possible loss of integrity.
11Non-revenue water (NRW)% of inputUse an explicit water balance and distinguish real losses from apparent losses.
12Dam structural health (seepage/displacement)monitoring statusInterpret instrumentation with engineering references, loading and the relevant failure mechanism.
13Reservoir inflow vs. outflowratioUse a complete balance, including releases, evaporation and timing.
14Snowpack (SWE)% of normalRetain spatial coverage, seasonal reference and contribution to later inflow.
15Saltwater intrusion extentchloride mg/L at wellfieldDeclare chemical composition and method; do not interchange conductivity with a specific-ion measurement.
16WWTP load vs. capacity% of designSeparate hydraulic and process limits and actual inflow conditions.
17Algal bloom toxin (microcystin)µg/LIdentify the toxin, analytical method and treatment barrier.
18PFAS concentrationng/LRetain the compound, method and quantification limit; use the requirement applicable to the case.
19Nitrate in source watermg/LDistinguish nitrate from nitrate expressed as nitrogen and preserve the chemical basis of the unit.
20Lead at the tap (90th percentile)µg/LSpecify the sampling protocol, exposure point and corrosion context.
21Energy availability for pumpingbackup hoursTest the real load, fuel supply and ability to start the reserve system.
22Pump-station redundancyN-x designAssess firm pumping capacity and common dependencies after loss of a unit.
23Main-break ratebreaks/100 km/yrUse a consistent asset denominator and failure-reporting definition.
24Pipe asset ageyearsCondition, environment, maintenance and failure history are needed alongside age.
25Desalination capacity utilization% of capacityCheck energy, membrane and discharge constraints as well as production capacity.
26Flood-stage proximity (rivers)m to flood stageUse a local impact elevation and compatible vertical references.
27Reservoir flood-control space% of designIdentify seasonal operating rules and forecast conditions relevant to available flood space.
28SCADA/OT security postureassessmentCheck asset inventory, access, segmentation and recovery records.
29Irrigation allocation vs. demand% of requestDeclare allocation period, demand assumptions, crop stage and applicable rules.
30Intake elevation vs. reservoir levelm marginRelate intake geometry to water level, sediment, quality and operational requirements.

A didactic monotone transformation for an indicator that worsens as it rises is p = clip[(x − x_ref)/(x_failure − x_ref), 0, 1]. Reverse the direction for a reserve that deteriorates as it falls. The expression makes the reference points visible; it does not choose those points, prove comparability or establish an operational aggregate. Retain x in its original unit and justify the function separately for each case.

Section readings [R05; R23; R24]

SECTION 16

Velocity (ΔV): rates and trajectory

Rate information changes the time available for interpretation and protection. Reservoir drawdown, river rise, salinity advance and reagent depletion operate on different clocks and require different observation intervals. A rapid river-level increase is not the same quantity as the speed of a flood wave. A groundwater trend may reflect seasonal abstraction as well as persistent imbalance. Compare windows, methods and operating changes before inferring acceleration. A conditional time-to-boundary calculation can be useful in an exercise without establishing a forecast of when service will fail. [R10; R12; R19]

ΔV describes direction and rate of change over a declared interval. Two systems at the same apparent position may have different reaction times because their trajectories differ. Compare rates using consistent units, observation windows and reference systems. Check seasonality, missing periods, reporting changes and process acceleration before extrapolating. A time-to-boundary calculation is conditional on its trajectory assumption; it is not a general forecast.

Ten families of rate-of-change observations
ProcessRate / unitInterpretation
Reservoir drawdown rate% per weekVerify the time window, seasonal context and observation method. Data source to inspect: Dam/utility telemetry.
Groundwater decline ratem per yearVerify the time window, seasonal context and observation method. Data source to inspect: Monitoring wells.
River flood-crest rise ratem per hourVerify the time window, seasonal context and observation method. Data source to inspect: Gauges, hydrology.
Contamination plume spreadkm per dayVerify the time window, seasonal context and observation method. Data source to inspect: Source monitoring.
Algal bloom growthcell count/dayVerify the time window, seasonal context and observation method. Data source to inspect: Lake monitoring.
Dam seepage / displacement ratemm per dayVerify the time window, seasonal context and observation method. Data source to inspect: Dam instrumentation.
Demand growth (urban)% per yearVerify the time window, seasonal context and observation method. Data source to inspect: Utility planning.
Saltwater wedge advancem per yearVerify the time window, seasonal context and observation method. Data source to inspect: Coastal monitoring.
Snowmelt accelerationSWE loss/weekVerify the time window, seasonal context and observation method. Data source to inspect: Snow surveys.
Chemical-stock depletiondays/day consumedVerify the time window, seasonal context and observation method. Data source to inspect: Utility inventory.

Section readings [R10; R12; R19]

SECTION 17

Uncertainty (σ): evidence and model limits

Water uncertainty includes sample coverage, laboratory method, hydrological parameters, model structure, future demand and unverified recovery arrangements. These uncertainties cannot be represented credibly by assigning one confidence percentage to an institution. Identify what each interval describes. A rainfall ensemble, a measurement uncertainty and a set of demand scenarios concern different objects. Ask which unresolved assumption could change a sanitary message, source decision or recovery sequence. The investigation should then target that uncertainty rather than indiscriminately increasing the volume of available data. [R08; R09; R21]

Uncertainty should be recorded by object and source. Measurement uncertainty, sampling limitations, parameter uncertainty, model structure, future scenarios and institutional ambiguity cannot be replaced by one unsupported percentage. More simulation samples can reduce numerical sampling error without resolving a missing mechanism. Identify which uncertainty changes the decision and which further observation, comparison or test could reduce it.

Case-analysis method
Source of uncertaintyObject affectedTreatment
MeasurementInstrument error, drift, reference system and quality controls.Calibration, cross-check and traceable metadata.
SamplingSpatial, temporal or population coverage.A design matched to the decision and exposed groups.
ParametersValues weakly identified by available observations.Estimation, sensitivity and alternatives.
Model structureProcesses excluded or represented inadequately.Competing models and tests outside the fitting conditions.
ScenarioUncertain future demand, environment or operating practice.A declared set of plausible trajectories.
DependenceCorrelated conditions or failures treated as independent.Joint analysis and explicit common-cause hypotheses.
InstitutionsUnverified duties, access or resource availability.Documentary checks and mobilization tests.
Unknown mechanismsA plausible process with insufficient evidence.A research question and decisions robust to the unresolved gap.

Section readings [R08; R09; R21; C06]

SECTION 18

Reversibility liquidity (Lr): usable recovery resources

Water reversibility is constrained by useful time and the object being recovered. A tanker can protect some users while a network is repaired, but it does not replace the full service or restore a depleted aquifer. Equipment without access, fuel, compatible inputs or qualified personnel does not provide usable capacity. Distinguish recovery of delivered water from groundwater recovery, ecosystem change and public confidence. The performance concepts in Hashimoto and the socioecological distinctions in Walker support these questions without being synonyms for the c-ECO construct Lr. [R05; R13; R18]

Lr examines resources that can preserve, contain or recover the defined function within the relevant time. A resource listed in an inventory is different from a resource that is accessible, compatible, staffed and mobilizable. Record capacity, useful arrival time, duration, dependencies and evidence of testing. Avoid averaging away an essential bottleneck. Recovery of a service does not necessarily restore ecological condition, accumulated losses or public trust.

Recovery resources to verify in the case
Recovery resourceAvailability or mobilization questionVerification or dependency
Alternative sourceVolume, quality, connection and simultaneous availabilityDemonstrate delivery under the scenario.
Emergency distributionVehicles, containers, cleaning, access and user coverageVerify quality and actual receipt.
InterconnectionHydraulic capacity and supply availabilityTest shared-source and power dependencies.
Mobile treatmentCompatibility with raw water and available operatorsTest performance at a relevant scale.
Reserve energyReal load, fuel and mobilizationDemonstrate start and useful autonomy.
Repair capabilityPersonnel, tools, parts and safe accessTest a representative repair sequence.
Treatment inputsUsable reagents and qualified alternative suppliersCompare stress consumption and replenishment.
Laboratory capacityMethods, transport and peak demandTest sampling-to-result time and traceability.
Information continuityMaps, procedures and independent communicationTest access during a connectivity outage.
Institutional cooperationDocumented roles and usable supportTest a request, arrival and verified delivery.

Section readings [R05; R13; R18]

PART VI

Scenario and simulation intelligence

SECTION 19

Stress scenarios and comparative strategies

Stress-test source quantity, quality and operational prerequisites separately before combining them. A prolonged drought scenario can remove a source alternative; a flood scenario can remove access and energy together; a control-system incident can undermine trustworthy observation. Specify the prior operating state and the point at which a strategy stops preserving the defined function. Compare an interim protective measure with a structural change and record what each can actually deliver. The exercise should identify tests and evidence needs rather than produce unsupported event probabilities. [R04; R06; R19; R25]

A stress scenario states the initiating condition, prior state, time sequence, exposed function, shared dependencies and feasible responses. Its purpose is to reveal when a strategy loses usefulness and why. Compare alternatives across several conditions, including absent substitutes and simultaneous demand. Scenarios should lead to observations, tests and resource questions; assigning a precise event probability requires a separate justified model and evidence.

Five domain-anchored stress-test designs · N1
ScenarioInitiating mechanismObservation designStrategy comparison
A · Multi-year drought / water scarcityReservoir & aquifer depletion (Cape Town, Chennai)Check which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
B · Dam / levee failureStructural collapse → flood (Banqiao, Derna)Check which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
C · Operational-technology compromiseLoss of trusted control, supervision or availability in water and wastewater systemsCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
D · Desalination brine / energy intensityBrine disposal; high energy cost dependencyCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
E · Real and apparent water lossesLeakage and incomplete metering complicate the balance and reduce delivered serviceCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.

Section readings [R04; R06; R19; R25]

SECTION 20

Reproducible simulation and sensitivity analysis

A water model is useful when its purpose and test are clear. Calibration against observed behavior is different from testing performance under conditions outside that fit. Monte Carlo propagates chosen input assumptions through a defined relationship; additional draws improve numerical resolution without repairing a missing mechanism. Sensitivity analysis helps identify where the result depends on uncertainty or weighting. The synthetic laboratory demonstrates those operations in a reproducible form. Replacing its assumptions with water evidence would require a separately designed and reviewed model for the case. [R08; R09; R19; R21]

Simulation is an explicit transformation of assumptions. Input distributions, dependencies, parameter estimation, output definition and testing must be documented. Numerical convergence does not establish model validity. Examine sensitivity to the function used, the weights selected, dependence assumptions and conditions outside the fitting data. The reproducible laboratory below is a synthetic exercise, separated from SPS and from any claim about real-event frequency.

Reproducible synthetic laboratory · N2
ElementSpecification
Samples and seed10,000 samples; Python Random; seed 4027218047.
Reference centersP = 0.72; ΔV = 0.62; σ = 0.40; Lr = 0.38.
Latent dispersion0.40, 0.45, 0.30, 0.40, respectively.
Common-factor loading0.65, 0.55, 0.35, −0.45, respectively.
Dependence constructionz_j = a_j g + √(1 − a_j²) ε_j; g and ε_j are independent standard normal draws.
Bounded transformationx_j = logistic[logit(m_j) + s_j z_j].
Learning outputQ = 0.35P + 0.25ΔV + 0.15σ + 0.25(1 − Lr).
Comparison conditionQ ≥ 0.70, selected only for this synthetic laboratory.
Calculated outputs under the declared assumptions
StatisticValue
Mean0.618
5th percentile0.514
Median0.620
95th percentile0.711
Fraction with Q ≥ 0.707.87%

The factor loadings define association on the latent scale. Correlations after the nonlinear transform should be estimated from the simulated samples. Q is a teaching index and is not SPS. Its exceedance fraction concerns the generated sample under these assumptions; it is not the probability of a real event or a forecast over a stated number of years. A temporal forecast would require a separately specified process and observation model.

Reproduce the calculation in Python
from random import Random
from math import log, exp, sqrt
from statistics import mean
rng = Random(4027218047)
m = [.72, .62, .40, .38]
s = [.40, .45, .30, .40]
a = [.65, .55, .35, -.45]
q = []
for _ in range(10000):
    g = rng.gauss(0, 1)
    x = []
    for mj, sj, aj in zip(m, s, a):
        z = aj*g + sqrt(1-aj*aj)*rng.gauss(0, 1)
        x.append(1/(1+exp(-(log(mj/(1-mj))+sj*z))))
    p, v, u, lr = x
    q.append(.35*p+.25*v+.15*u+.25*(1-lr))
q.sort()
print(mean(q), q[499], (q[4999]+q[5000])/2, q[9499])
print(sum(x >= .70 for x in q)/len(q))

Sensitivity exercise: remove the common factor, vary one dispersion, change the weight of recovery resources, and compare the ranking of the selected strategies. Then state which domain observations would be needed to replace each illustrative assumption. Use a suitable estimator when inputs are dependent; the common-factor experiment is a dependence check, not a claim that a particular Sobol estimator applies unchanged.

Section readings [R08; R09; R19; R21; C03; C06]

SECTION 21

Restoration and performance verification

Restoring potable service is a sequence of prerequisites and verification. Secure a safe source, establish the needed energy and treatment capability, address network integrity, then verify the delivered outcome under the relevant sanitary procedure. Chemical contamination can require a different pathway from a microbial incident. Protect critical users while that path is addressed. A restart is not equivalent to clearance, and clearance in one zone need not demonstrate a whole network’s condition. Persistent environmental and social effects may require continued observation after technical service returns. [R15; R23; R24; R40]

Restoration follows prerequisites and verification conditions rather than a universal fixed clock. Tasks may proceed in parallel only where they do not compete for the same people, access, equipment or information. Protect essential functions while the critical path is addressed. Define what is measured before returning service, who can make that determination and which effects require continued observation after a technical restart.

Case-analysis method
StageAction and prerequisiteEvidence of usable progress
Protect essential usersProvide a feasible interim function while restoration proceeds.Coverage and actual receipt.
Restore prerequisitesRecover access, inputs, energy, information and competent personnel.Verified availability for the next task.
Restore the processRepair and operate the affected function within its relevant constraints.Technical tests matched to the failure mechanism.
Verify performanceMeasure the delivered outcome and remaining exposure.A predeclared verification record.
Authorize and communicateRecord who can declare the relevant return condition.Clear status, limitations and notification.
Follow upMonitor persistent effects and resolve causal and monitoring gaps.A review record and tracked corrective actions.

Section readings [R15; R23; R24; R40]

PART VII

Restoration and recovery architecture

SECTION 22

Recovery provider capability

A water-recovery provider should be assessed against the process and conditions of the task. Demonstrated capacity for one raw water does not establish performance for another; ownership of a mobile unit does not show that operators and supplies can reach the affected area. Separate engineering, treatment, distribution, laboratory and logistics tasks. Define how competence, safety, compatibility and availability are verified. The evidence should demonstrate delivered performance, with a scope and limitations suitable for the case rather than a generic provider label. [R23; R24; R39]

Capability assessment must be specific to the task, place and stress conditions. A training certificate cannot demonstrate that a team can mobilize and deliver the required function. Inspect competence, safety, compatibility, relevant experience and actual availability. Define the verification method and limits of recognition. This teaching library does not establish a c-ECO provider certification scheme or substitute for professional or regulatory requirements.

Case-analysis method
CapabilityVerification
Technical capabilityEvidence relevant to the specific task, process and failure mechanism.
MobilizationA demonstrated route, team, equipment and useful arrival time.
CompatibilityProof that resources can work with the installation, data and local constraints.
Safety and responsibilitiesRelevant professional duties, safe work and accountable supervision.
VerificationPerformance tests, records and independent review proportionate to the task.
ContinuitySubstitutes and supplies under simultaneous demand or extended interruption.

Section readings [R23; R24; R39]

SECTION 23

Recovery sequencing and time constraints

Water recovery often depends on a critical chain through energy, process control, distribution and verification. Interim distribution can proceed while that chain is addressed, but apparent parallel tasks may compete for the same vehicle, access corridor or specialist. Separate mobilization, execution, sampling, analysis and decision times. Compare target recovery time with the capability demonstrated under stress. Extend the exercise by removing a laboratory or transport route and examine which prerequisite now controls useful service restoration for the most exposed users. [R05; R19; R24]

A recovery time objective is a decision criterion to test against real capacity. Distinguish mobilization, work, verification and decision time, and identify dependencies between tasks. Shared resources can prevent apparently parallel activities from proceeding together. Repeating the sequence with unavailable access, a specialist or a verification service reveals where a target relies on an untested assumption.

Case-analysis method
Sequencing itemCase requirement
Task and functionDefine the outcome, prerequisites and critical users.
Time componentsSeparate mobilization, execution, verification and decision time.
Shared resourcesIdentify people, equipment, access and systems needed by more than one task.
Parallel workDemonstrate that tasks can proceed together without competing for the same bottleneck.
Completion conditionSpecify the observation that permits the next task or return of the function.
SensitivityRepeat with unavailable resources or longer lead times to expose the critical path.

Section readings [R05; R19; R24]

SECTION 24

Equipment, inputs and replenishment

Water inventory should follow the protected function. Reagents require usable stock, correct storage and realistic stress consumption; pumps and electrical equipment require compatibility and installation; analytical kits require valid methods and a functioning sampling pathway. Replenishment includes transport and safe access rather than supplier availability alone. A nominal reserve period has little meaning without a demand assumption and a test of the whole delivery chain. Record inspection date and common dependencies so that a regional event does not turn several listed substitutes into one unavailable resource. [R07; R19; R24]

Inventory analysis connects each item to a protected function. Use condition, compatibility, accessibility and consumption under stress rather than a nominal stock count alone. Replenishment time must include procurement, transport, installation and verification where relevant. A substitute that depends on the same supplier or platform may disappear in the same event. Keep the last inspection date and the evidence supporting usable availability.

Case-analysis method
Inventory fieldVerification
SpecificationIdentity, quantity, condition, compatibility and installation requirements.
AvailabilityLocation, access rights, expiry where relevant and verification date.
Stress consumptionUseful stock under the conditions studied, including losses and surge demand.
ReplenishmentSupplier, lead time, transport constraints and alternatives.
Common dependenceOther stocks or substitutes that share a supplier, access route, platform or energy source.
TestEvidence from inspection, deployment or a representative mobilization exercise.

Section readings [R07; R19; R24]

SECTION 25

Mutual aid and cooperation arrangements

Cooperation can connect operators, laboratories, engineering specialists, emergency distribution and basin institutions. Its contribution depends on documented scope, activation and practical availability, not merely the name of a network. Specify who asks for which resource, the useful arrival time, the responsibility for operating it and the evidence of delivery. A regional flood may increase demand across all participants simultaneously. A university’s research contribution has a different object from a standing operational commitment and should be described accordingly. [R24; R30; R32; R34]

Cooperation contributes to recovery when its scope, activation, resources and practical availability are demonstrated. Record who requests support, who authorizes it, the useful arrival time, responsibility for the work and conditions of return. Consider simultaneous demand across participants. A reference to an organization or network in the literature does not imply that c-ECO or a case partner has joined it or secured a deployment commitment.

Case-analysis method
Agreement elementQuestion
ActivationWho can request and authorize support, and on what documented basis?
ResourceWhat can actually be supplied, at what capacity and for how long?
DeliveryWhich access, transport, compatibility, information and safety conditions apply?
SimultaneityWhat happens when several participants need the resource at the same time?
ResponsibilityWhich actor controls the task and its records, verification and constraints?
ReviewHow are performance, remaining gaps and revised arrangements recorded?

Section readings [R24; R30; R32; R34]

PART VIII

Research and source library

SECTION 26

Source classification and evidence quality

Classify the information product rather than assigning automatic authority to the publisher. An official coverage estimate, a laboratory result, an operator’s pressure trace and a peer-reviewed mechanism study serve different questions. A research paper and a dashboard may share one underlying series. Preserve that provenance so apparent agreement is not counted as independent replication. FAIR and PROV help organize access, definitions and transformations, while the study design and measurement method still determine what can be inferred from the product. [R20; R22; R47]

Source classes organize origin and function; they do not form an automatic hierarchy of evidential strength. An official statistic, an operational record and a causal study answer different questions. Classify the product, not only the organization. Detect shared data origins so that a dashboard, article and secondary report based on one observation are not counted as three independent confirmations.

Case-analysis method
Source classContributionQuality criterion
A · Institutional / officialOfficial statistics, instruments, technical guidance and investigation records.Mandate, method, version, scope and actual applicability.
B · Operational / technicalMeasurements, process records, assets, inventories and delivered performance.Traceability, coverage, quality controls and usable access.
C · Academic / independentResearch designs, mechanism studies, models and independent observations.Methods, inference, reproducibility and fit to the question.

Section readings [R20; R22; R47; C04; C05]

SECTION 27

Institutional, regulatory and technical sources

Water institutional products include health guidance, population service estimates, hydrological observations, disaster-risk syntheses and governance frameworks. Identify the actual document or dataset and its edition. A national coverage statistic cannot show whether a particular hospital received continuous supply during an outage. A global screening indicator can orient further investigation without resolving a utility-scale diagnosis. Use these products to define a question, contextualize a territory or justify a method, and obtain the operational evidence required for the local claim. [R23; R25; R27; R28; R47]

Institutional sources should be selected by product, method and scale. Record whether the source defines a requirement, observes a condition, reports an investigation or synthesizes a literature. A current portal may contain several editions and methods; cite the actual version used. Public access does not establish accuracy for a different question, and a restricted source can still be used only under its authorized conditions.

Institutional and technical source register
IDProduct / documentWhy it matters
[R21]JCGM (2008). Evaluation of measurement data — Supplement 1 to the GUM — Propagation of distributions using a Monte Carlo method. JCGM 101:2008.Explains propagation of distributions through a measurement model using Monte Carlo.
[R22]W3C (2013). PROV-DM: The PROV Data Model. W3C Recommendation, 30 April 2013.Defines provenance through entities, activities and responsible agents.
[R23]WHO (2026). Guidelines for drinking-water quality: fourth edition incorporating the first, second and third addenda. ISBN 9789240121225.WHO 2026 drinking-water-quality guidance; distinguish its health basis from local legal applicability.
[R24]WHO; IWA (2023). Water safety plan manual: step-by-step risk management for drinking-water suppliers. 2nd edition.Stepwise risk-management methods for drinking-water suppliers.
[R25]IPCC (2022). Climate Change 2022: Impacts, Adaptation and Vulnerability. Working Group II, Chapter 4: Water.Assesses climate impacts, vulnerability, adaptation and limits in the water domain.
[R26]WHO (2019). Microplastics in drinking-water. ISBN 9789241516198.Assesses knowledge and uncertainty on microplastics in drinking-water.
[R27]UNESCO; UN-Water (2025). The United Nations World Water Development Report 2025: Mountains and glaciers — Water towers.Connects mountain and glacier change to downstream water systems.
[R28]World Resources Institute (2023). Aqueduct 4.0: Updated Decision-Relevant Global Water Risk Indicators. Technical note.Explains Aqueduct water-risk indicators and their use as screening products.
[R29]NIST (2023). Guide to Operational Technology (OT) Security. Special Publication 800-82, Revision 3.Guidance for operational-technology security, availability and process requirements.
[R30]OECD (2015). OECD Principles on Water Governance.Principles for water-governance responsibilities, scales, information and accountability.
[R31]OECD (2018). Implementing the OECD Principles on Water Governance: Indicator Framework and Evolving Practices.Framework for examining implementation of water-governance principles.
[R32]UNECE (1992). Convention on the Protection and Use of Transboundary Watercourses and International Lakes — recursos explicativos oficiais.Official material on the UNECE Water Convention and cross-boundary cooperation.
[R33]United Nations (1997). Convention on the Law of the Non-Navigational Uses of International Watercourses.Primary legal material and background on the UN Watercourses Convention.
[R34]UNDRR (2015). Sendai Framework for Disaster Risk Reduction 2015–2030.Connects disaster-risk understanding, governance, preparation and recovery.
[R35]Brasil (1997). Lei nº 9.433, de 8 de janeiro de 1997. Política Nacional de Recursos Hídricos. Texto oficial consolidado.Primary Brazilian source on water-resource policy and its instruments.
[R36]European Commission. Water Framework Directive — Directive 2000/60/EC: apresentação e documentos oficiais.Official explanation of the EU Water Framework Directive and basin planning.
[R37]US EPA, Office of Inspector General (2018). Management Weaknesses Delayed Response to Flint Water Crisis. Report 18-P-0221.Primary investigation into management weaknesses and delayed response in Flint.
[R38]O’Connor, D. R. (2002). Report of the Walkerton Inquiry. Part One: The Events of May 2000 and Related Issues. Ontario.Public inquiry into the Walkerton events and related institutional and operational issues.
[R39]Independent Forensic Team (2018). Independent Forensic Team Report: Oroville Dam Spillway Incident. Repositório oficial da FERC.Official repository of the Oroville spillway forensic investigation.
[R40]US EPA. Jackson, MS Drinking Water — ações e documentos relativos à crise de 2022 e ao restabelecimento.Primary agency record of the Jackson drinking-water crisis and restoration.
[R41]NOAA (2014). NOAA Forecasts, Responds to Lake Erie Harmful Algal Bloom.Institutional account of harmful-algal-bloom observation and response at Lake Erie.
[R44]IBAMA (2015). Laudo técnico preliminar: impactos ambientais decorrentes do desastre envolvendo o rompimento da barragem de Fundão. 26 de novembro de 2015.Preliminary technical assessment of Fundão impacts; scope and date constrain its findings.
[R45]IAEA (2023). Comprehensive Report on the Safety Review of the ALPS-Treated Water at the Fukushima Daiichi Nuclear Power Station.IAEA review of ALPS-treated water: a specific object, not the whole Fukushima accident.
[R46]CISA (2023). Exploitation of Unitronics PLCs used in Water and Wastewater Systems. Alert, 28 November 2023.Official alert concerning compromised Unitronics controllers in water/wastewater systems.
[R47]WHO; UNICEF. Joint Monitoring Programme for Water Supply, Sanitation and Hygiene (JMP). Portal de dados e métodos.JMP data and methods for population coverage and WASH service levels.
[R48]c-ECO Institute. Systemic Intelligence Library — Water & Sanitation (SIL-WAT).c-ECO topical architecture; distinct from external scientific support for mechanisms.
[R49]UNESCO (2025). Flood Hazard and Exposure Mapping. Recurso de aprendizagem Hydro-Resilience.Complementary UNESCO learning resource on flood hazard and exposure mapping.

Section readings [R23; R25; R27; R28; R47]

SECTION 28

Operational observations and monitoring products

Operational water data describe a process but can omit the delivered experience. Pressure, flow, treatment logs, samples, repairs and stock records need consistent definitions and time references. User reports can reveal local loss hidden by an aggregate operating dashboard. Earth observation adds valuable spatial information, but reservoir area is not automatically usable storage and gravimetry does not measure the level of each well. Record each transformation between product and analytical variable, retaining independent checks at the scale of the decision. [R17; R20; R22]

Operational observations should show what the system delivered, not merely that an asset was declared available. Inspect the acquisition process, sensor or reporting changes, gaps, coverage and quality controls. Compare records with independent observations where feasible. Aggregated performance, a status dashboard and user experience can diverge because they concern different units, locations, periods or definitions of availability.

Observation products to obtain for the case
ObservationUnitInterpretationProvenance record
Reservoir storage level% of capacityUse a verified elevation–volume relation and distinguish physical storage from water that can be abstracted and treated.Record acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Groundwater table depthm below baselineRetain datum, well location, pumping context and seasonal variation.Record acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Standardized Precipitation Index (SPI)indexDeclare the reference period and accumulation window; a precipitation deficit is not itself a service deficit.Record acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Days of supply remainingdaysDocument usable volume, inflow and demand assumptions; inspect sensitivity to each.Record acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Treatment capacity margin% above demandCompare effective process capacity with demand and water-quality conditions, rather than using nominal design alone.Record acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Source turbidityNTURelate the observation to the actual treatment process and sampling location.Record acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Microbial indicator (E. coli)CFU/100mLRetain organism, method, sampling design and sanitary interpretation.Record acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Disinfectant residual (chlorine)mg/LInterpret with network location, process conditions and the relevant health reference.Record acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Chemical reserve at WTPdaysCount usable stock and stress demand; include verified replenishment time.Record acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Distribution pressure% of nominalRetain pressure unit, measurement point and duration; inspect possible loss of integrity.Record acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Non-revenue water (NRW)% of inputUse an explicit water balance and distinguish real losses from apparent losses.Record acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Dam structural health (seepage/displacement)monitoring statusInterpret instrumentation with engineering references, loading and the relevant failure mechanism.Record acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.

Section readings [R17; R20; R22]

SECTION 29

Academic research and independent evidence

The reading set connects water-security assessment, sociohydrology, ecological flow, groundwater observation, quality management and model testing. Compare what each design can establish: a global comparison, a conceptual feedback model, a case investigation and an operational experiment do not have the same inferential reach. Include critical interpretations and conditions of transfer rather than using a published result as a universal parameter. A reading note should identify the question, method, result, limits and the specific change it makes to the case analysis. [R01; R02; R08; R12; R13; R19]

Read the research design before transferring a conclusion. Identify the question, unit of analysis, method, comparison, result, limitations and conditions that matter for the case. Foundational concepts, empirical studies, critical replications and technical syntheses serve different functions. A literature-supported mechanism may justify a hypothesis without validating a local threshold, forecasting performance or a complete TFP application.

Academic reading map: mechanisms and methods
IDResearch workContribution and limit
[R01]Vörösmarty, C. J. et al. (2010). Global threats to human water security and river biodiversity. Nature, 467, 555–561.Links human water security and river biodiversity at a global scale; local mechanisms require case evidence.
[R02]Di Baldassarre, G. et al. (2013). Socio-hydrology: conceptualising human-flood interactions. Hydrology and Earth System Sciences, 17, 3295–3303.Conceptualizes feedbacks between flood protection, settlement, memory and exposure.
[R03]Scheffer, M. et al. (2009). Early-warning signals for critical transitions. Nature, 461, 53–59.Explains generic early-warning concepts and their conditional relationship to critical transitions.
[R04]Zscheischler, J. et al. (2018). Future climate risk from compound events. Nature Climate Change, 8, 469–477.Examines compound climate risk and dependence among contributing conditions.
[R05]Hashimoto, T.; Stedinger, J. R.; Loucks, D. P. (1982). Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation. Water Resources Research, 18(1), 14–20.Distinguishes reliability, resiliency and vulnerability in water-system performance.
[R06]Pescaroli, G.; Alexander, D. (2018). Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework. Risk Analysis, 38, 2245–2257.Distinguishes interconnected and cascading risk mechanisms.
[R07]Rinaldi, S. M.; Peerenboom, J. P.; Kelly, T. K. (2001). Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Systems Magazine, 21(6), 11–25.Provides categories for investigating dependencies among critical infrastructures.
[R08]Klemeš, V. (1986). Operational testing of hydrological simulation models. Hydrological Sciences Journal, 31(1), 13–24.Addresses operational testing and transfer of hydrological simulation models.
[R09]Saltelli, A. et al. (2010). Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Computer Physics Communications, 181, 259–270.Provides sensitivity-analysis methods and estimator assumptions.
[R10]Milly, P. C. D. et al. (2008). Stationarity Is Dead: Whither Water Management? Science, 319, 573–574.Questions extrapolation of stationary historical hydrology into water management.
[R11]Ostrom, E. (2009). A general framework for analyzing sustainability of social-ecological systems. Science, 325, 419–422.Analyzes resources, actors, governance and interactions in social–ecological systems.
[R12]Poff, N. L. et al. (1997). The Natural Flow Regime. BioScience, 47(11), 769–784.Examines components of the natural flow regime and their ecological significance.
[R13]Jasechko, S. et al. (2024). Rapid groundwater decline and some cases of recovery in aquifers globally. Nature, 625, 715–721.Compares groundwater decline and documented cases of recovery across aquifers.
[R14]Jones, E. et al. (2019). The state of desalination and brine production: A global outlook. Science of the Total Environment, 657, 1343–1356.Examines desalination and brine production and the environmental questions they raise.
[R15]Proctor, C. R. et al. (2020). Wildfire caused widespread drinking water distribution network contamination. AWWA Water Science, 2, e1183.Documents contamination of drinking-water distribution networks following wildfire.
[R16]Dakos, V. et al. (2012). Methods for Detecting Early Warnings of Critical Transitions in Time Series Illustrated Using Simulated Ecological Data. PLOS ONE, 7(7), e41010.Presents methods for examining early warnings in simulated ecological time series.
[R17]Rodell, M.; Velicogna, I.; Famiglietti, J. S. (2009). Satellite-based estimates of groundwater depletion in India. Nature, 460, 999–1002.Estimates large-scale groundwater depletion using satellite gravimetry.
[R18]Walker, B. et al. (2004). Resilience, adaptability and transformability in social–ecological systems. Ecology and Society, 9(2), 5.Distinguishes resilience, adaptation and transformation in social–ecological systems.
[R19]Loucks, D. P.; van Beek, E. (2017). Water Resource Systems Planning and Management: An Introduction to Methods, Models, and Applications. Springer.Open reference book on water-system planning, models, uncertainty and applications.
[R20]Wilkinson, M. D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018.Provides FAIR principles for research data and metadata.
[R42]Otto, F. E. L. et al. (2018). Anthropogenic influence on the drivers of the Western Cape drought 2015–2017. Environmental Research Letters, 13, 124010.Attribution study of the climate drivers of the Western Cape drought; distinguish hazard attribution from the whole service crisis.
[R43]Micklin, P. (2007). The Aral Sea Disaster. Annual Review of Earth and Planetary Sciences, 35, 47–72.Review of long-term water diversion and socioenvironmental change in the Aral Sea.

Section readings [R01; R02; R08; R12; R13; R19]

PART IX

Evidence matrices and historical intelligence

SECTION 30

Source–variable correspondence

The water source–variable map must retain quantity, quality and service distinctions. A gauge, a laboratory sample, a process record and a tested inventory each observe a different object. Derived position and velocity may share one record and therefore share its gaps. Recovery capacity requires evidence of access and mobilization beyond a list of assets. Preserve raw units, reference systems, transformations and data versions so that the interpretation can be inspected and repeated. A normalized score should make these choices visible rather than replace the originating evidence. [R20; R21; R22]

The source–variable matrix exposes the path from an observation to an analytical representation. Preserve the raw unit, time, location, method, transformation and uncertainty. Multiple derived variables may share one observation and therefore share its limitations. Record the code or reproducible procedure, authorized access and version. A score should remain inspectable through its originating evidence rather than replacing that evidence.

Source–variable design matrix
ObservationUnitSource requirementCandidate analytical questionTransformation and limit
Reservoir storage level% of capacityUse a verified elevation–volume relation and distinguish physical storage from water that can be abstracted and treated.P / stateVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Groundwater table depthm below baselineRetain datum, well location, pumping context and seasonal variation.P and ΔV / trajectoryVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Standardized Precipitation Index (SPI)indexDeclare the reference period and accumulation window; a precipitation deficit is not itself a service deficit.σ / evidence qualityVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Days of supply remainingdaysDocument usable volume, inflow and demand assumptions; inspect sensitivity to each.Lr / usable resourcesVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Treatment capacity margin% above demandCompare effective process capacity with demand and water-quality conditions, rather than using nominal design alone.P / stateVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Source turbidityNTURelate the observation to the actual treatment process and sampling location.P and ΔV / trajectoryVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Microbial indicator (E. coli)CFU/100mLRetain organism, method, sampling design and sanitary interpretation.σ / evidence qualityVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Disinfectant residual (chlorine)mg/LInterpret with network location, process conditions and the relevant health reference.Lr / usable resourcesVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Chemical reserve at WTPdaysCount usable stock and stress demand; include verified replenishment time.P / stateVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Distribution pressure% of nominalRetain pressure unit, measurement point and duration; inspect possible loss of integrity.P and ΔV / trajectoryVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Non-revenue water (NRW)% of inputUse an explicit water balance and distinguish real losses from apparent losses.σ / evidence qualityVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Dam structural health (seepage/displacement)monitoring statusInterpret instrumentation with engineering references, loading and the relevant failure mechanism.Lr / usable resourcesVerify whether the observation supports this analytical use; preserve the raw record and transformation.

Section readings [R20; R21; R22; C04; C05]

SECTION 31

Source–risk correspondence

A flood extent, a pump outage and a water-quality advisory can be simultaneous without proving a single causal chain. For each risk, distinguish observations of the threat, the function’s state, the proposed failure mechanism and the consequence for users. A dated process record helps test order; a laboratory or engineering investigation may support the mechanism; service and exposure records concern consequences. Identify which link is still hypothetical and what observation could distinguish it from a competing explanation. This makes the risk inventory an investigable set of claims. [R06; R07; R24; R37]

A source–risk matrix should cover the threat, the observed state, the mechanism and the consequences separately. Evidence that an event occurred does not alone show why a function failed or who was affected. Use a chronology and alternative explanations to test the chain. A citation becomes useful when the specific part of the claim it supports and its limits are visible.

Source–risk evidence matrix
RiskProposed mechanismEvidence chainInvestigation requirement
Multi-year drought / water scarcityReservoir & aquifer depletion (Cape Town, Chennai)Threat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Microbial contaminationE. coli, cholera, Cryptosporidium (Walkerton)Threat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Chemical contamination (lead, PFAS)Corrosion control failure (Flint); forever chemicalsThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Dam / levee failureStructural collapse → flood (Banqiao, Derna)Threat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Tailings dam failure (mining)Toxic mud contaminates basins (Mariana, Brumadinho)Threat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Major flooding overwhelms WWTPSewage overflow + treatment bypassThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Aging pipe failure (mains, leakage)High non-revenue water; main breaksThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Treatment chemical supply disruptionChlorine, coagulant shortage halts treatmentThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Energy dependency for pumping/treatmentBlackout → no pressure, no treatmentThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Operational-technology compromiseLoss of trusted control, supervision or availability in water and wastewater systemsThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.

Section readings [R06; R07; R24; R37]

SECTION 32

Monitoring gaps and research priorities

A monitoring gap matters when it can change an interpretation or protective decision. Missing peak river levels, insufficient sampling coverage, incomparable analytical limits and untested alternative supply are different deficiencies. A denser rainfall network cannot solve uncertainty about a distribution contaminant, while another sample of the same type may not resolve an unrepresented exposure group. State the affected claim, the needed observation and the useful time for obtaining it. Then compare the value of that investigation with the consequence of leaving the gap unresolved. [R20; R21; R24; R47]

Prioritize a gap by its consequence for the decision. The next observation may be a targeted measurement, an independent comparison, a capability test or a correction of incompatible definitions. More data of the same kind may not resolve structural uncertainty. Specify the question, required observation, responsible custodian, time of collection and condition under which the gap is considered sufficiently addressed.

Case-analysis method
Monitoring gapDecision consequenceInvestigation
Spatial coverageExposed locations, groups or assets are not represented.Targeted observations matched to exposure.
Temporal resolutionA change occurs faster than the collection interval.A sampling interval fitted to the process and useful decision time.
Missing periodA critical part of the trajectory is absent.Independent backup and transparent missing-data handling.
Changing methodA sensor, reference or reporting practice changes.Overlap, comparison and version metadata.
Unmeasured mechanismImportant inputs or consequences are not observed.A mechanism-specific investigation and appropriate measurement.
Unverified resourcesA listed capacity has not been mobilized.Inspection and a representative deployment test.
Incompatible definitionsDatasets describe different populations, units or conditions.A documented harmonization and retained original values.
Access restrictionEvidence cannot be inspected or reused under current conditions.An authorized access and review arrangement.
Unequal representationSome users or effects disappear in aggregates.Disaggregated observation and a suitable participatory protocol.
Post-event follow-upReturn of service masks persistent effects.A monitoring period appropriate to the mechanism and affected function.

Section readings [R20; R21; R24; R47; C03]

SECTION 33

Dependency matrix and propagation tests

Dependency analysis should test a function under loss of its prerequisites for different durations. Water distribution can depend on electricity, while the backup depends on fuel, road access and trained personnel. An alternative source can share the same treatment or transmission bottleneck. Record the directed mechanism and usable delay rather than merely listing linked sectors. Examine a loop between service loss and response capacity, then identify which change breaks propagation. Ecological dependence also requires attention to the flow regime and receiving environment rather than only engineered assets. [R06; R07; R12]

A basin process can affect multiple services across boundaries through flow, sediment, water quality and operating decisions. [R12; R32; R33]

Social feedback changes exposure and capacity: protection can affect settlement, and prior experience can alter behavior and institutional attention. [R02]

Recovery is constrained by resources and the object of restoration; service return, aquifer response and ecological recovery follow different processes. [R05; R13; R18]

A dependency matrix should be directional and time-specific. Record the supplying function, receiving function, mechanism, useful delay, substitute and evidence. Test the destination when the origin becomes unavailable for different periods. Then remove a common prerequisite of the substitute. The resulting structure describes the case; it does not establish all connections in a global architecture or validate an edge weight.

Dependency matrix for case testing
DependencyMechanism and directionVerification or TFP inquiry
Energy → WaterBlackout → pumps/treatment fail → no supplyP → Lr
Water → EnergyCooling-water loss / low reservoirs → generation derateP → Lr
Water → HealthcareContamination/loss → disease + hospital strainP → Lr
Water → AgribusinessIrrigation loss → crop failureP → σ
Climate/Weather → WaterDrought/flood → scarcity or treatment bypassΔV → P
Mining → WaterTailings failure → basin contaminationσ → P
Digital systems → WaterCompromised control or unavailable telemetry can degrade trustworthy operationσ, P, Lr
Digital → WaterSCADA/comms loss → blind operationP → Lr
Water → DigitalCooling-water loss → data-center thermal shutdownP → Lr
Governance → WaterTransboundary dispute → upstream diversionσ → Lr

For each relationship, add the measured delay, duration of tolerable interruption, substitute and observation supporting the directed edge. Repeat the test for short, intermediate and extended unavailability. A generic list of linked sectors is not an estimated network, and no edge weight is validated by inclusion in this table.

Section readings [R06; R07; R12; C01; C02]

SECTION 34

Documented cases, near misses and recovery

The case collection supports comparison without treating unlike events as one statistical sample. Flint and Walkerton expose different barriers and decision failures; Oroville concerns spillway damage rather than an observed dam breach; Fundão and wildfire-affected networks raise different persistence and verification problems. A satellite storage study is an observation example rather than an incident record. Preserve those objects and the source’s time and scope. Compare mechanisms, evidence and recovery conditions, and avoid using the number of records as a claim about event frequency or framework performance. [R15; R37; R38; R39; R44]

Historical analysis distinguishes observed loss, protective response, near miss and recovery. Several records can concern one event without becoming independent events. Preserve what the source actually investigated and avoid adding unsupported casualty, cost or restoration-time estimates. Compare cases by mechanism and evidence quality; the fact that one response was associated with an outcome does not alone establish a general causal effect.

Documented cases and comparative learning
Case / periodDocumented mechanism or study objectLearning and transfer questionSource
Flint, United States / crisis beginning 2014Water-quality management and delayed institutional responseSeparate detection, interpretation, authority and action.[R37]
Walkerton, Canada / 2000Microbial contamination and failures of protection and supervisionTrace multiple barriers and the evidence available to each actor.[R38]
Oroville, United States / 2017Spillway damage and protective evacuationDistinguish spillway mechanisms from a dam breach that did not occur.[R39]
Jackson, United States / 2022Service interruption and restoration constraintsFollow prerequisites and verification of delivered water service.[R40]
Lake Erie / Toledo, United States / 2014Harmful algal bloom and water-supply protectionConnect bloom observation to a toxin-specific sanitary decision.[R41]
Western Cape / 2015–2017 droughtClimate drivers and water-service stressDistinguish hazard attribution from the total service outcome.[R42]
Aral Sea / multidecadal changeWater diversion and persistent socioecological transformationCompare restoring a service with reversing a transformed ecosystem.[R43]
Fundão / Rio Doce, Brazil / 2015Tailings release and basin-scale impactsRead preliminary findings within their date and investigation scope.[R44]
Camp Fire, California / 2018Wildfire-associated distribution-network contaminationExplain why restored pressure is insufficient to show water safety.[R15]
India groundwater / study published 2009Regional storage change estimated using gravimetryTest how spatial inference relates to well observations and abstraction.[R17]
Global aquifers / study published 2024Groundwater declines and documented recovery casesIdentify the conditions that support comparison across aquifers.[R13]
Water/wastewater controllers / official alert 2023Compromise of operational technologySeparate documented access compromise from a claim of actual process harm.[R46]
Fukushima ALPS review / 2023Safety review of a specific treated-water discharge objectPreserve the object and limits of the review.[R45]

Section readings [R15; R37; R38; R39; R44]

SECTION 35

Integrated review, transfer and learning portfolio

A water portfolio should make its main conclusion and strongest alternative explanation reviewable. Combine a bounded function, source register, risk mechanisms, dependency map, indicator definitions, scenarios and a monitoring plan. Explain how sanitation, source condition and delivered drinking-water service connect without collapsing them into one result. Transfer to another municipality or basin requires checking hydrology, treatment, exposure and recovery resources as well as institutional responsibilities. Specify the observation that would reopen the conclusion and how that evidence would reach the responsible review and decision process. [R08; R20; R22; R30]

The integrated portfolio should allow a reviewer to move from the question to observations, transformations, mechanism tests, scenarios and proposed monitoring. Make the strongest competing explanation and the most consequential unresolved gap visible. Transfer requires checking mechanisms, exposure and recovery resources in the new setting. Formation, optional credentialing, submission permission and licensing remain distinct processes; no case or data contribution enters the SIL without an associated fellow and applicable review.

Case-analysis method
Review stepEvidence requirement
SpecifyState the function, claim, exposed group, location and period.
TraceIdentify original observations, shared origins and transformations.
HarmonizeCompare units, reference systems, sampling and versions.
ChallengeTest alternative explanations and seek counter-evidence.
Evaluate uncertaintyIdentify which assumptions change the conclusion or recommended action.
Test transferCheck equivalence of mechanisms, exposure and recovery resources in another setting.
Record and updatePreserve reasons, limits, responsibility and the next review condition.

Section readings [R08; R20; R22; R30; C04; C05]

RESEARCH AND READING PATHS

Annotated scientific and technical bibliography

The section citations connect domain mechanisms, methods and cases to the underlying sources. Read each reference for its question, design, findings and limits. Technical guides, case investigations and scholarly articles do not provide interchangeable forms of evidence.

  1. R01 · peer-reviewed

    Vörösmarty, C. J. et al. (2010). Global threats to human water security and river biodiversity. Nature, 467, 555–561.

    Original publication / source ↗

    Links human water security and river biodiversity at a global scale; local mechanisms require case evidence.

  2. R02 · peer-reviewed

    Di Baldassarre, G. et al. (2013). Socio-hydrology: conceptualising human-flood interactions. Hydrology and Earth System Sciences, 17, 3295–3303.

    Original publication / source ↗

    Conceptualizes feedbacks between flood protection, settlement, memory and exposure.

  3. R03 · peer-reviewed

    Scheffer, M. et al. (2009). Early-warning signals for critical transitions. Nature, 461, 53–59.

    Original publication / source ↗

    Explains generic early-warning concepts and their conditional relationship to critical transitions.

  4. R04 · peer-reviewed

    Zscheischler, J. et al. (2018). Future climate risk from compound events. Nature Climate Change, 8, 469–477.

    Original publication / source ↗

    Examines compound climate risk and dependence among contributing conditions.

  5. R05 · peer-reviewed

    Hashimoto, T.; Stedinger, J. R.; Loucks, D. P. (1982). Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation. Water Resources Research, 18(1), 14–20.

    Original publication / source ↗

    Distinguishes reliability, resiliency and vulnerability in water-system performance.

  6. R06 · peer-reviewed

    Pescaroli, G.; Alexander, D. (2018). Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework. Risk Analysis, 38, 2245–2257.

    Original publication / source ↗

    Distinguishes interconnected and cascading risk mechanisms.

  7. R07 · peer-reviewed

    Rinaldi, S. M.; Peerenboom, J. P.; Kelly, T. K. (2001). Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Systems Magazine, 21(6), 11–25.

    Original publication / source ↗

    Provides categories for investigating dependencies among critical infrastructures.

  8. R08 · peer-reviewed

    Klemeš, V. (1986). Operational testing of hydrological simulation models. Hydrological Sciences Journal, 31(1), 13–24.

    Original publication / source ↗

    Addresses operational testing and transfer of hydrological simulation models.

  9. R09 · peer-reviewed

    Saltelli, A. et al. (2010). Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Computer Physics Communications, 181, 259–270.

    Original publication / source ↗

    Provides sensitivity-analysis methods and estimator assumptions.

  10. R10 · peer-reviewed

    Milly, P. C. D. et al. (2008). Stationarity Is Dead: Whither Water Management? Science, 319, 573–574.

    Original publication / source ↗

    Questions extrapolation of stationary historical hydrology into water management.

  11. R11 · peer-reviewed

    Ostrom, E. (2009). A general framework for analyzing sustainability of social-ecological systems. Science, 325, 419–422.

    Original publication / source ↗

    Analyzes resources, actors, governance and interactions in social–ecological systems.

  12. R12 · peer-reviewed

    Poff, N. L. et al. (1997). The Natural Flow Regime. BioScience, 47(11), 769–784.

    Original publication / source ↗

    Examines components of the natural flow regime and their ecological significance.

  13. R13 · peer-reviewed

    Jasechko, S. et al. (2024). Rapid groundwater decline and some cases of recovery in aquifers globally. Nature, 625, 715–721.

    Original publication / source ↗

    Compares groundwater decline and documented cases of recovery across aquifers.

  14. R14 · peer-reviewed

    Jones, E. et al. (2019). The state of desalination and brine production: A global outlook. Science of the Total Environment, 657, 1343–1356.

    Original publication / source ↗

    Examines desalination and brine production and the environmental questions they raise.

  15. R15 · peer-reviewed

    Proctor, C. R. et al. (2020). Wildfire caused widespread drinking water distribution network contamination. AWWA Water Science, 2, e1183.

    Original publication / source ↗

    Documents contamination of drinking-water distribution networks following wildfire.

  16. R16 · peer-reviewed

    Dakos, V. et al. (2012). Methods for Detecting Early Warnings of Critical Transitions in Time Series Illustrated Using Simulated Ecological Data. PLOS ONE, 7(7), e41010.

    Original publication / source ↗

    Presents methods for examining early warnings in simulated ecological time series.

  17. R17 · peer-reviewed

    Rodell, M.; Velicogna, I.; Famiglietti, J. S. (2009). Satellite-based estimates of groundwater depletion in India. Nature, 460, 999–1002.

    Original publication / source ↗

    Estimates large-scale groundwater depletion using satellite gravimetry.

  18. R18 · peer-reviewed

    Walker, B. et al. (2004). Resilience, adaptability and transformability in social–ecological systems. Ecology and Society, 9(2), 5.

    Original publication / source ↗

    Distinguishes resilience, adaptation and transformation in social–ecological systems.

  19. R19 · book

    Loucks, D. P.; van Beek, E. (2017). Water Resource Systems Planning and Management: An Introduction to Methods, Models, and Applications. Springer.

    Original publication / source ↗

    Open reference book on water-system planning, models, uncertainty and applications.

  20. R20 · peer-reviewed

    Wilkinson, M. D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018.

    Original publication / source ↗

    Provides FAIR principles for research data and metadata.

  21. R21 · technical / official

    JCGM (2008). Evaluation of measurement data — Supplement 1 to the GUM — Propagation of distributions using a Monte Carlo method. JCGM 101:2008.

    Original publication / source ↗

    Explains propagation of distributions through a measurement model using Monte Carlo.

  22. R22 · technical / official

    W3C (2013). PROV-DM: The PROV Data Model. W3C Recommendation, 30 April 2013.

    Original publication / source ↗

    Defines provenance through entities, activities and responsible agents.

  23. R23 · technical / official

    WHO (2026). Guidelines for drinking-water quality: fourth edition incorporating the first, second and third addenda. ISBN 9789240121225.

    Original publication / source ↗

    WHO 2026 drinking-water-quality guidance; distinguish its health basis from local legal applicability.

  24. R24 · technical / official

    WHO; IWA (2023). Water safety plan manual: step-by-step risk management for drinking-water suppliers. 2nd edition.

    Original publication / source ↗

    Stepwise risk-management methods for drinking-water suppliers.

  25. R25 · technical / official

    IPCC (2022). Climate Change 2022: Impacts, Adaptation and Vulnerability. Working Group II, Chapter 4: Water.

    Original publication / source ↗

    Assesses climate impacts, vulnerability, adaptation and limits in the water domain.

  26. R26 · technical / official

    WHO (2019). Microplastics in drinking-water. ISBN 9789241516198.

    Original publication / source ↗

    Assesses knowledge and uncertainty on microplastics in drinking-water.

  27. R27 · technical / official

    UNESCO; UN-Water (2025). The United Nations World Water Development Report 2025: Mountains and glaciers — Water towers.

    Original publication / source ↗

    Connects mountain and glacier change to downstream water systems.

  28. R28 · technical / official

    World Resources Institute (2023). Aqueduct 4.0: Updated Decision-Relevant Global Water Risk Indicators. Technical note.

    Original publication / source ↗

    Explains Aqueduct water-risk indicators and their use as screening products.

  29. R29 · technical / official

    NIST (2023). Guide to Operational Technology (OT) Security. Special Publication 800-82, Revision 3.

    Original publication / source ↗

    Guidance for operational-technology security, availability and process requirements.

  30. R30 · technical / official

    OECD (2015). OECD Principles on Water Governance.

    Original publication / source ↗

    Principles for water-governance responsibilities, scales, information and accountability.

  31. R31 · technical / official

    OECD (2018). Implementing the OECD Principles on Water Governance: Indicator Framework and Evolving Practices.

    Original publication / source ↗

    Framework for examining implementation of water-governance principles.

  32. R32 · technical / official

    UNECE (1992). Convention on the Protection and Use of Transboundary Watercourses and International Lakes — recursos explicativos oficiais.

    Original publication / source ↗

    Official material on the UNECE Water Convention and cross-boundary cooperation.

  33. R33 · technical / official

    United Nations (1997). Convention on the Law of the Non-Navigational Uses of International Watercourses.

    Original publication / source ↗

    Primary legal material and background on the UN Watercourses Convention.

  34. R34 · technical / official

    UNDRR (2015). Sendai Framework for Disaster Risk Reduction 2015–2030.

    Original publication / source ↗

    Connects disaster-risk understanding, governance, preparation and recovery.

  35. R35 · technical / official

    Brasil (1997). Lei nº 9.433, de 8 de janeiro de 1997. Política Nacional de Recursos Hídricos. Texto oficial consolidado.

    Original publication / source ↗

    Primary Brazilian source on water-resource policy and its instruments.

  36. R36 · technical / official

    European Commission. Water Framework Directive — Directive 2000/60/EC: apresentação e documentos oficiais.

    Original publication / source ↗

    Official explanation of the EU Water Framework Directive and basin planning.

  37. R37 · technical / official

    US EPA, Office of Inspector General (2018). Management Weaknesses Delayed Response to Flint Water Crisis. Report 18-P-0221.

    Original publication / source ↗

    Primary investigation into management weaknesses and delayed response in Flint.

  38. R38 · technical / official

    O’Connor, D. R. (2002). Report of the Walkerton Inquiry. Part One: The Events of May 2000 and Related Issues. Ontario.

    Original publication / source ↗

    Public inquiry into the Walkerton events and related institutional and operational issues.

  39. R39 · technical / official

    Independent Forensic Team (2018). Independent Forensic Team Report: Oroville Dam Spillway Incident. Repositório oficial da FERC.

    Original publication / source ↗

    Official repository of the Oroville spillway forensic investigation.

  40. R40 · technical / official

    US EPA. Jackson, MS Drinking Water — ações e documentos relativos à crise de 2022 e ao restabelecimento.

    Original publication / source ↗

    Primary agency record of the Jackson drinking-water crisis and restoration.

  41. R41 · technical / official

    NOAA (2014). NOAA Forecasts, Responds to Lake Erie Harmful Algal Bloom.

    Original publication / source ↗

    Institutional account of harmful-algal-bloom observation and response at Lake Erie.

  42. R42 · peer-reviewed

    Otto, F. E. L. et al. (2018). Anthropogenic influence on the drivers of the Western Cape drought 2015–2017. Environmental Research Letters, 13, 124010.

    Original publication / source ↗

    Attribution study of the climate drivers of the Western Cape drought; distinguish hazard attribution from the whole service crisis.

  43. R43 · peer-reviewed

    Micklin, P. (2007). The Aral Sea Disaster. Annual Review of Earth and Planetary Sciences, 35, 47–72.

    Original publication / source ↗

    Review of long-term water diversion and socioenvironmental change in the Aral Sea.

  44. R44 · technical / official

    IBAMA (2015). Laudo técnico preliminar: impactos ambientais decorrentes do desastre envolvendo o rompimento da barragem de Fundão. 26 de novembro de 2015.

    Original publication / source ↗

    Preliminary technical assessment of Fundão impacts; scope and date constrain its findings.

  45. R45 · technical / official

    IAEA (2023). Comprehensive Report on the Safety Review of the ALPS-Treated Water at the Fukushima Daiichi Nuclear Power Station.

    Original publication / source ↗

    IAEA review of ALPS-treated water: a specific object, not the whole Fukushima accident.

  46. R46 · technical / official

    CISA (2023). Exploitation of Unitronics PLCs used in Water and Wastewater Systems. Alert, 28 November 2023.

    Original publication / source ↗

    Official alert concerning compromised Unitronics controllers in water/wastewater systems.

  47. R47 · technical / official

    WHO; UNICEF. Joint Monitoring Programme for Water Supply, Sanitation and Hygiene (JMP). Portal de dados e métodos.

    Original publication / source ↗

    JMP data and methods for population coverage and WASH service levels.

  48. R48 · technical / official

    c-ECO Institute. Systemic Intelligence Library — Water & Sanitation (SIL-WAT).

    Original publication / source ↗

    c-ECO topical architecture; distinct from external scientific support for mechanisms.

  49. R49 · technical / official

    UNESCO (2025). Flood Hazard and Exposure Mapping. Recurso de aprendizagem Hydro-Resilience.

    Original publication / source ↗

    Complementary UNESCO learning resource on flood hazard and exposure mapping.

External sources are cited for research and learning. Their inclusion implies no partnership, certification or institutional endorsement.