GCRI · Water Nexus

Drinking water and sanitation

Safe drinking water and sanitation are counted in whether a household’s water is available when needed, free from contamination and on the premises, and whether excreta are safely contained, treated and disposed. The counting is global, the delivery is local, and the gaps open fastest in crises. This page sets out how access and safety are measured and what the evidence serves.

01Canvas

How the work runs.

Systems · around this subjectIllustrative
Utility operations: the screen’s structure, terms and states for Drinking water and sanitation.Example names and illustrative values; a design, not a record or a live system.

Fig.Utility operations: example names and illustrative values, not a record or a live system.

02The question

Drinking water and sanitation: how the risk develops.

Treatment, safety, infrastructure and equity. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

The service ladder

Access is classed from surface water to safely managed service. Moving up the ladder needs infrastructure, management and affordability together; any one missing drops the rung.

Mechanism

Contamination pathways

Faecal contamination enters through broken pipes, intermittent supply, unsafe storage and poor sanitation nearby. Microbial risk rises sharply during floods and outages.

Mechanism

Chemical hazards

Arsenic, fluoride, nitrate and lead are geogenic or infrastructural, chronic rather than acute, and invisible without sampling.

Mechanism

Crisis and displacement

Disasters and displacement multiply the population per source and collapse sanitation first. Outbreaks follow within weeks unless provision is planned.

03Geography

Water now in the Nile Basin.

Rain, flood water and population density over the Nile Basin, from NASA GIBS. Each layer carries its own date.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

Water now, for this page

About this layer
Evidence
Estimated
Source
GPM IMERG (NASA GES DISC)
Provider
NASA GES DISC
Licence
NASA open data
Vintage
daily; Satellite estimate, near real time
Newest at build
2026-10-12
Resolution
about 2 km grid
Uncertainty
Satellite estimate, near real time. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
VIIRS Global Flood Product (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite detection; clouds leave gaps
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite detection; clouds leave gaps. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Estimated
Source
Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
Provider
NASA SEDAC (CIESIN, Columbia University)
Licence
CC BY 4.0
Vintage
null; Census-based estimate, static (2020)
Resolution
about 1 km grid
Uncertainty
Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled
Source
SMAP Level 4 (NASA NSIDC DAAC)
Provider
NASA NSIDC DAAC
Licence
NASA open data
Vintage
daily; Model with satellite data assimilated
Newest at build
2026-10-11
Resolution
about 2 km grid
Uncertainty
Model with satellite data assimilated. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
VIIRS NOAA-20 corrected reflectance (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite image
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (latest month GIBS publishes)
Source
GRACE-FO JPL mascons (NASA JPL PO.DAAC)
Provider
NASA JPL PO.DAAC
Licence
NASA open data
Vintage
monthly; Satellite gravimetry; latest month GIBS publishes
Newest at build
2022-07-01
Resolution
about 2 km grid
Uncertainty
Satellite gravimetry; latest month GIBS publishes. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Water now, framed on the Nile Basin.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · NASA JPL OPERA DIST-ALERTSources and licences

  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
  • SMAP Level 4 soil moisture and snow mass, NASA Global Modeling and Assimilation Office; distributed by the NASA National Snow and Ice Data Center DAAC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • GRACE and GRACE-FO JPL mascon solution, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • Live: NASA EONET Events are indicative, not authority warnings.
  • Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • River discharge forecast, 30 days with range (GloFAS via Open-Meteo): Contains modified Copernicus Emergency Management Service information 2026; not a flood warning.
  • Past year, daily temperature (ERA5 via Open-Meteo): Contains modified Copernicus Climate Change Service information 2026.
  • Past year, daily temperature and sunshine (NASA POWER): These data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science/Applied Science Program..
  • Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
  • Optional layers (14 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Root-zone soil moisture, 0 to 100 cm: SMAP Level 4, NASA NSIDC DAAC · 11 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Water storage anomaly, monthly: GRACE-FO JPL mascons, NASA JPL PO.DAAC · July 2022

04Couplings

Safe water and sanitation depend on power, chemicals, staff and healthy catchments.

DomainHow it couples hereWhat to watch
EnergyPumping and treatment stop without electricity; standby generators need fuel. See grid disruption and recovery.Hours of backup at treatment works and pumping stations
HealthThe WHO Guidelines for Drinking-water Quality set the health basis; failures appear as diarrhoeal disease, cholera and typhoid. See infectious threats.Escherichia coli detections; disease surveillance after outages
FoodUnsafe water used for irrigation and food processing carries pathogens into the food chain.Wastewater reuse practices and their controls
BiodiversityUntreated sewage degrades rivers and coasts; healthy catchments reduce treatment burden.Share of wastewater safely treated (SDG 6.3.1)

Coverage is reported by the WHO/UNICEF Joint Monitoring Programme on service ladders: safely managed, basic, limited, unimproved and surface water. The ladders separate access from quality and reliability, which national averages often blur.

05Twin and cascade simulator

Model drinking water and sanitation as a system. Run the cascade.

Assembled from the Nexus Standards area profile Water risk standards: the hazards it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.

Hazards

  • Flash flood
  • Meteorological drought
  • Groundwater depletion
  • Dam failure
  • Debris flow (set off downstream)
  • Agricultural drought (set off downstream)
  • Hydrological drought (set off downstream)
  • Wildfire (set off downstream)
  • Peat and underground fire (set off downstream)
  • Forest dieback (set off downstream)
  • Water supply shortfall (set off downstream)
  • Acute food crisis (set off downstream)
  • Dust storm (set off downstream)
  • Land subsidence (set off downstream)
  • Saltwater intrusion (set off downstream)
  • River flood (set off downstream)
  • Mass displacement (set off downstream)
  • Amazon rainforest dieback (set off downstream)

Controls

  • NS-0 Constitution and principles
  • NS-1 The UNI and the artefact catalogue (grammar v0.2: domain, sector, region and environment segments)
  • NS-3 Risk record UNIs (grammar, legacy crosswalk, allocation authority)
  • NS-3b Dataset and product metadata profile (STAC, DCAT, PROV-O)
  • NS-9 Contextual UNIs (deployments, instances, programme instances)
  • NS-10 Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NRS-U28 Universe platform profile: Water Nexus
  • NRS-H61 Hazard family: Cascading failure (NHS-1 sys.cascade)
  • NRS-K42 Domain pack profile: Cross border basins (DOMAIN-042)
  • NRS-N1 Water risk and resilience
  • NRS-N7 Water-energy-food-health-biodiversity-infrastructure nexus coupling
  • NRS-H62 Hazard family: Compound and multi-hazard events (NHS-1 sys.compound)

Observation

  • USGS Water Data APIs (listed for reference)
  • GloFAS global flood forecasts and reanalysis (listed for reference)
  • GRACE/GRACE-FO terrestrial water storage mascons (listed for reference)
  • Aqueduct 4.0 Water Risk Atlas (listed for reference)
  • CHIRPS quasi-global gridded precipitation (listed for reference)
  • Level of water stress: freshwater withdrawal as a proportion of available freshwater resources
  • Proportion of transboundary basin area with an operational arrangement for water cooperation
  • Proportion of population using safely managed drinking water services
  • Number of disruptions to basic services attributed to disasters

Example geography

  • The Ganges and Brahmaputra Basin: 178 hexagonal cells
  • Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
  • Rain rate, last half hour (IMERG), NASA GIBS
  • Surface soil moisture (SMAP), NASA GIBS
  • Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
06Reports, standards and contributions

Water safety evidence and who can add to it.

Studies of service continuity and water safety planning are designed for the Country Quarterly series and the Evidence Brief series. The Global Centre for Risk and Innovation (GCRI) does not regulate or inspect water services; the responsible regulator and utility decide. Water quality datasets would carry NS-3b metadata under the proposed Nexus Standards, with household-level data never published.

  • Utility outage logs with causes and durations.
  • Water safety plan reviews a utility is willing to publish.
  • Community reports of service failure, through consent-aware routes.
07Sector signature

The sector signature of drinking water and sanitation.

The sectors drinking water and sanitation touches and how strongly they depend on each other: what a study has to observe and model together.

Select corners · hover lines6 / 15 relations

Signature

Water and its partners

Water gives irrigation to food (0.8), cooling water and hydropower to energy (0.6) and environmental flows to biodiversity (0.6).

W · E · I · F · H · B

Sectors
4 of 6
Relations
6 of 15
Coupling
0.43 share of total

Strongest relations in play

  • Food → Biodiversity · land conversion0.6
  • Water → Energy · cooling water and hydropower0.6
  • Water → Food · irrigation0.8
  • Water → Biodiversity · environmental flows0.6
Teaching values for a typical city-region, not measurements for any place. Coupling is the summed strength of the relations in play, as a share of all fifteen.
08Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Population with safely managed drinking waterpercentannualHousehold surveys, administrative dataPublished statistics
Population with safely managed sanitationpercentannualHousehold surveys, administrative dataPublished statistics
E. coli detection in supply samplespercent of samples positivemonthlyLaboratory samplingOBSERVED
Arsenic and fluoride exceedancepercent of sources above guidelinesurveySource testingOBSERVED
Intermittencyhours of supply per daydailyUtility records, sensorsOBSERVED
Persons per functioning water pointpersonsper siteSite assessmentsESTIMATED
09Methods and evidence

How drinking water and sanitation is modelled, measured and tested.

The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.

System model

The couplings between the systems in drinking water and sanitation: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.

++−++WaterClimateCritical infrastructureCommunitiesEconomyR reinforcingB balancing
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
10Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
WHO and UNICEF Joint Monitoring ProgrammeNational and subnational access estimates and the service laddersFree and open, attribution
Demographic and Health Surveys and MICSHousehold-level water and sanitation dataTerms per survey programme
National water quality surveillanceSampling results by supply and sourceBy agreement with each agency
Water Point Data ExchangeRural water point functionality recordsOpen, attribution
Humanitarian cluster assessmentsCrisis-period provision and gapsTerms per cluster
11Decisions

Who decides, and what the evidence serves.

Water Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Health and water ministriesWhere safely managed service is furthest from target and what closes the gapAccess maps with uncertainty; contamination risk by supply type
Utilities and local authoritiesWhich supplies need continuous chlorination, pipe renewal or storage adviceSampling results against intermittency and outage records
Humanitarian coordinatorsWhere provision is below standards and outbreak risk is risingPersons per water point, sanitation coverage, surveillance signals

Outputs this topic produces

  • Access maps by service ladder rung with survey uncertainty
  • Contamination risk layers by supply type and season
  • Crisis provision gaps by population and site
  • Monitoring designs for utilities and health agencies
12Core questions

What WASH researchers and engineers ask.

  • Is the water safe at the point of use, not just at the treatment works?
  • Which hazards, microbial, chemical or radiological, threaten a supply, and where do they enter?
  • Is wastewater collected, treated and returned without harming people or ecosystems?
  • Who lacks reliable access, and why?
13Mechanisms

From source to tap to return.

Safety rests on multiple barriers: protecting the source, treating water by coagulation, filtration and disinfection, maintaining pressure and residual disinfectant in the network, and safe storage in homes. A failure at any barrier, such as low pressure that lets contaminated groundwater enter pipes, can undo the others.

Sanitation separates people from excreta. Where it fails, pathogens reach water sources and spread diarrhoeal and other diseases, with the heaviest burden on young children. Floods, power cuts and drought can disable treatment and sewerage at the moment communities need them most. Emerging contaminants and antimicrobial resistance add new questions.

14Methods and data

How safety and access are assessed.

  1. 01

    Risk-based management

    Water safety planning identifies hazards and control measures from catchment to consumer. Its value depends on regular verification and honest records.

  2. 02

    Monitoring

    Laboratory and field testing, increasingly supported by online sensors and observation networks. Sampling captures moments, not continuous conditions.

  3. 03

    Surveys and service data

    Household surveys and utility records describe access, reliability and affordability. Informal settlements and intermittent supplies are often under-recorded.

17Questions

Questions and answers.

What does safely managed mean?
Water from an improved source, on premises, available when needed and free from faecal and priority chemical contamination; sanitation that safely contains, transports and treats excreta.
Why can a city with pipes still lack safe water?
Intermittent supply lets contamination enter the network and forces unsafe storage. Pipes are necessary, not sufficient.
How quickly do outbreaks follow a disaster?
Often within weeks where sanitation has collapsed and people share few sources. Provision planned before the event is what prevents it.
Is treated water always safe at the tap?
Not necessarily. Contamination can enter through leaks, low pressure, intermittent supply or household storage, which is why safety is managed across the whole system.
Why does sanitation matter for water risk?
Untreated wastewater is a major source of contamination for rivers and groundwater, so sanitation protects drinking water sources as well as public health.
What changes when supply is intermittent?
Pipes that empty and refill draw in contaminated water, households store water in ways that can degrade it, and the poorest pay more in time and money for alternatives. Intermittency is therefore both a safety and an equity issue.
Does Water Nexus rank utilities on water safety?
No. It does not rank, certify or approve utilities. It publishes research and case studies with their methods.
ReportsContribute

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Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

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