32 datasets found

Applications of AI for Water Management

Since the impacts of climate change will be felt most directly through changes in water availability and water security, adequate tools are required to support water resources management decisions for the medium and long term. The Climate Risk Informed Decision Analysis (CRIDA) provides a pathway for more localized vulnerability assessments of water resources under climate change, while encompassing the uncertainty of current global climate projections. Within this framework, this paper demonstrates a climate stress test to identify changes in key performance indicators defined through local stakeholder consultations using a bottom-up approach. When applied to a case study in the Limari River basin in Chile, the stress test highlights the vulnerability of the reservoir system to climate variability and change, through a comprehensive analysis of 43 Global Circulation Models, of which 34 were retained. The Level of Concern (LoC) was defined as high, due to a high plausibility for entering into adverse water security conditions, that are expected to provoke a significant impact in the highly productive areas of the watershed. As demonstrated by the case study, the climate stress test provides a relevant assessment tool for potential climate change impacts on critical components of the water system in vulnerable catchments.

Este trabajo se llevó a cabo en Majucla, colonia ubicada en el municipio de Cuscatancingo San Salvador, e involucra a los jóvenes del Comité Juvenil Expresión Hip Hop. El objeto del trabajo es presentar a Majucla, el barrio y sus calles, como cuna de saberes emergentes de las artes urbanas o cuna de actividades artísticas hip hop y lo que implica el concepto emergente frente al saber disciplinar y la epistemología. Por contraste con el saber académico es conveniente acuñar este concepto que alude a lo menor, lo excluido, lo subordinado, en analogía con la vida que pende de un hilo en los sectores deprimidos. Saberes emergentes es llegar a ser mientras las actividades de los jóvenes se dirigen a crear e intentar comercializar sus obras. Pese a las dificultades encontradas, principalmente por la violencia imperante y las barreras de acceso a la educación, los jóvenes siguen empeñados en crear arte y fortalecer el colectivo. Aprenden en la universidad de la calle aquellos saberes que les permitan identificarse como diferentes y resistir en las condiciones en que les tocó vivir.

This dataset provides comprehensive hydrometeorological data from South Korea, sourced through the WAMIS Open API. It includes hourly, daily, and monthly records of precipitation, water levels, meteorological conditions, river flow rates, and suspended sediment loads. The data is collected from various stations across South Korea and is regularly updated to support environmental monitoring, research, and water resource management. Users can access real-time and historical data, making this dataset valuable for climate studies, hydrological modeling, and infrastructure planning.

This catalog includes the following data resources:

Hourly Precipitation Data: Precipitation levels recorded every hour over the last 3 days.

Daily Precipitation Data: Daily precipitation measurements covering the last 3 months.

Monthly Precipitation Data: Monthly precipitation data spanning the last 3 years.

Hourly Water Level Data: Water level data recorded hourly for various rivers, updated every 3 hours.

Daily Water Level Data: Daily water level records from the last 3 months for multiple stations.

Hourly Meteorological Data: Hourly meteorological data including temperature, humidity, wind speed, and solar radiation.

Daily Meteorological Data: Daily meteorological summaries, ideal for longer-term climate analysis.

Daily River Flow Rate Data: Daily records of river flow rates for the current year.

Suspended Sediment Load Data: Information on sediment load concentrations and flow rates over the last 3 years.

This map illustrates the structures/buildings damaged by Tropical Cyclone MELISSA-25. The analysis focuses on Crawford Village, Black River District, Saint Elizabeth Parish, as of 29 October 2025, where damage was detected using a WorldView-2 very high-resolution satellite image acquired on 29 October 2025. UNOSAT identified approximately 1,089 buildings as 100% damaged.

This is a preliminary analysis and has not yet been validated in the field. Ground verification is encouraged, and feedback can be sent to the United Nations Satellite Centre (UNOSAT).

Lake-TopoCat provides a global-scale dataset that links lakes with their drainage topology, delineates catchments, defines inter-lake pathways, and quantifies topological attributes (upstream/downstream relationships, drainage distances, outlet multiplicity, etc.). The input is based on HydroLAKES v1.0 and MERIT Hydro (3 arcsec), with algorithms to detect possible lake bifurcation, unit catchment delineation, reach segmentation, and network attribution. The database includes:

• Lake boundary polygons (same as HydroLAKES) enriched with drainage attributes
• Lake outlet points
• Unit catchment polygons corresponding to each lake outlet
• Inter-lake reach lines connecting outlets
• Lake-network basins (basin polygons delineating the full drainage domain of each lake network)

It covers ~1.43 million lakes (≥10 ha) and ~1.46 million outlets globally, and ~3 million inter-lake reaches, spanning ~77.5 × 10⁶ km² of catchment coverage (≈ 57 % of global landmass, excluding Antarctica). The dataset is freely available via Zenodo (DOI: 10.5281/zenodo.7916729) and is licensed under CC BY 4.0.

The Global Groundwater Quality Portal by IGRAC is a dedicated platform for sharing global maps and datasets related to groundwater quality. It brings together data and models developed by IGRAC and its international partners, including global assessments of groundwater contamination and occurrence of key elements such as arsenic, fluoride, PFAS, and salinity. The portal provides harmonized geospatial information that supports global and regional monitoring of groundwater quality, promotes data accessibility, and contributes to sustainable groundwater management worldwide. It is part of IGRAC’s mission to facilitate international information exchange and knowledge sharing on groundwater resources.

This dataset contains citizen science water quality measurements collected under the Be-Resilient initiative of the UNESCO Intergovernmental Hydrological Programme (IHP). Data were gathered across multiple Biosphere Reserves in South Africa as part of ongoing efforts to enhance community-based monitoring and local resilience to hydroclimatic risks.

The dataset includes in-situ observations of key water quality parameters, such as pH, electrical conductivity, turbidity, dissolved oxygen, and temperature, each accompanied by localized timestamps and contextual metadata. Measurements were obtained by trained citizen scientists and local volunteers, following standardized protocols designed to ensure comparability across sites and over time.

Individual identifiers have been removed to protect the privacy of participants. The dataset serves as an open, quality-controlled source for hydrological and environmental analyses, education, and early-warning applications. It contributes to the broader Be-Resilient programme objective of promoting citizen and open science approaches for climate adaptation, data democratization, and the co-production of water knowledge in vulnerable and data-scarce regions.

The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project.

This dataset presents a MAR suitability map for Costa Rica, developed by Bonilla et al. (2016). The study ranks areas suitable for MAR through spreading methods based on hydrogeological aptitude, terrain slope, soil texture, and drainage network density. The dataset provides geospatial information that supports groundwater recharge planning, water resources management, and climate change adaptation in Costa Rica. It is part of the global collection of MAR suitability assessments compiled by IGRAC.

If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.

The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project.

This dataset presents a MAR suitability map for the Ganges River Basin, developed by Brindha and Pavelic (2016). The study identifies priority watersheds for mitigating flood and drought impacts through conjunctive surface and groundwater management under the Underground Taming of Floods for Irrigation (UTFI) approach. The analysis covers the transboundary Ganges Basin extending across Bangladesh, China, India, and Nepal. The dataset provides geospatial information that supports flood mitigation planning, groundwater recharge strategies, and integrated water resources management in South Asia. It is part of the global collection of MAR suitability assessments compiled by IGRAC.

If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.

The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project.

This dataset presents a MAR suitability map for Northern Australia, developed by CSIRO (2018). The study assesses opportunities for Managed Aquifer Recharge (MAR) in surficial aquifers to support agricultural development across the Fitzroy, Darwin, and Mitchell catchments. The analysis is based on the characteristics of surficial geology, topography, and modelled estimates of regolith thickness and soil permeability. The dataset provides geospatial information that can support sustainable water resource planning and agricultural water management in Northern Australia. It is part of the global collection of MAR suitability assessments compiled by IGRAC.

If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.

The Global Sandwatch Dataset consolidates participatory observations collected through UNESCO’s Sandwatch Programme, a global citizen science and education initiative promoting climate change adaptation and sustainable coastal management. The dataset contains standardized monitoring data from 145 beaches in more than 50 countries, contributed by over 300 community observers, schools, and environmental groups.

Covering over a decade of observations, the dataset documents beach morphology, erosion and accretion patterns, composition, debris, human activities, water quality, wave and current dynamics, vegetation, and fauna. Each record reflects local community engagement in data collection and environmental stewardship, fostering awareness and resilience within coastal ecosystems-especially in Small Island Developing States (SIDS) and low-lying coastal regions.

The data structure follows the Sandwatch methodology of Monitoring, Analysing, Sharing, and Taking Action (MAST) and aligns with UNESCO’s Education for Sustainable Development (ESD) and climate adaptation frameworks. It provides a unique interdisciplinary resource integrating environmental, social, and educational dimensions of coastal change, valuable for research, education, and policy design in coastal resilience and participatory monitoring.

This dataset contains a collection of presentations delivered by UNESCO’s Intergovernmental Hydrological Programme (IHP) to a variety of audiences—including IHP National Committees, project teams, Member States, and regional stakeholders—on the IHP-WINS (Water Information Network System) platform. The presentations aim to raise awareness of IHP-WINS as a central hub for hydrological, climatic, and contextual data, supporting evidence-based decision-making, digital transformation, and open science. Each presentation is tailored to the specific audience, highlighting relevant use cases, data management workflows, visualization tools, governance structures, and opportunities for collaboration. The dataset provides an overview of how IHP-WINS is positioned within UNESCO’s water programmes to enhance interoperability, promote data sharing, and support the implementation of IHP-IX priorities at national, regional, and project levels.

The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project.

This dataset presents a MAR suitability map for North Kenya, developed by Acacia Water (2013). The study evaluates hydrogeological, climatic, and land use conditions to identify areas suitable for MAR implementation across the region. The dataset provides geospatial information that can support water resources planning, groundwater recharge strategies, and climate change adaptation measures in North Kenya. It is part of the global collection of MAR suitability assessments compiled by IGRAC.

If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.

The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project.

This dataset presents a MAR suitability map for Spain, developed under the DinaMAR project (2010). The study evaluates hydrogeological, climatic, and land use conditions to identify areas suitable for MAR implementation across the country. The dataset provides geospatial information that can support water resources planning, groundwater recharge strategies, and climate change adaptation measures in Spain. It is part of the global collection of MAR suitability assessments compiled by IGRAC.

If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.

The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project.

This dataset presents a MAR suitability map for Jordan, developed by Steinel et al. (2016). The study evaluates hydrogeological, climatic, and land use conditions to identify areas suitable for MAR implementation across the country. The dataset provides geospatial information that can support water resources planning, groundwater recharge strategies, and climate change adaptation measures in Jordan. It is part of the global collection of MAR suitability assessments compiled by IGRAC.

If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.

The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project.

This dataset presents a MAR suitability map for South Africa, developed by Department Water Affairs (2009). The study evaluates hydrogeological, climatic, and land use conditions to identify areas suitable for MAR implementation across the country. The dataset provides geospatial information that can support water resources planning, groundwater recharge strategies, and climate change adaptation measures in South Africa. It is part of the global collection of MAR suitability assessments compiled by IGRAC.

If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.

The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project.

The data shown in this portal have been made available by INOWAS (TU Dresden, Germany and funded by the German Federal Ministry of Education and Research) and the DEMEAU project (European Union FP7 project consortium). More information on the Global MAR Inventory project and its partners can be found or in the following publication: Stefan C. & Ansems N. (2017) Web-based global inventory of managed aquifer recharge applications. Sustain. Water Resour. Manag. https://doi.org/10.1007/s40899-017-0212-6.

The MAR Portal also contains a selection of regional MAR suitability maps, showing where MAR could be implemented.

If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.

This dataset, compiled by Solar Chapter's Mengalir.co initiative, provides essential information on water infrastructure and access across 22 regencies in Indonesia's East Nusa Tenggara province. The data captures key water access metrics, infrastructure status, and demographic information to support water resource management, development planning, and humanitarian efforts in this semi-arid region. The dataset includes geospatial coordinates, administrative divisions, population demographics, water facility operations, access metrics, infrastructure types, water sources, and management entities for each regency.

The data synthesizes information from national and local government records, community participatory reports, and partner organization databases in an accessible CSV format for stakeholders addressing regional water challenges. This collection effort aims to support better planning and implementation of water solutions in East Nusa Tenggara, where many communities experience seasonal water shortages.

This map illustrates the satellite-detected water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July 2025 at 13:02 local time (08:02 UTC). Within the analyzed area of approximately 83,000 km², about 6,300 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 1,300 km² since 11 July 2025. Based on WorldPop population data and the flood extent, approximately 2.3 million people are potentially exposed or living close to the flooded areas.