HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales) provides hydrographic information in a consistent and comprehensive format for regional and global-scale applications. HydroSHEDS offers a suite of geo-referenced data sets in raster and vector format, including stream networks, watershed boundaries, drainage directions, and ancillary data layers such as flow accumulations, distances, and river topology information. Recently available data derived from HydroSHEDS include comprehensive layers of major basins and smaller sub-basins (~100-2,500 km2) across the globe. These data layers are available to support watershed analyses, hydrological modeling, and freshwater conservation planning at a quality, resolution, and extent that had previously been unachievable in many parts of the world. Data includes Void-Filled elevation, Hydrologically conditioned elevation, drainage directions, flow accumulation, river network, basin outlines, HydroBASINS License information: https://www.hydrosheds.org/page/license

HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on elevation data obtained in 2000 by NASA's Shuttle Radar Topography Mission (SRTM). This dataset provides polylines that represent river networks, derived from and consistent with other HydroSHEDS datasets. These data are based on 15 arc-seconds (approx. 500 m at the equator) resolution raster data. Mapping the world's free-flowing rivers: data set and technical documentation Note that the quality of the HydroSHEDS data is significantly lower for regions above 60 degrees northern latitude as there is no underlying SRTM elevation data available and thus a coarser-resolution DEM was (HYDRO1k provided by USGS). HydroSHEDS was developed by the World Wildlife Fund (WWF) Conservation Science Program in partnership with the U.S. Geological Survey, the International Centre for Tropical Agriculture, The Nature Conservancy, and the Center for Environmental Systems Research of the University of Kassel, Germany.

HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on elevation data obtained in 2000 by NASA's Shuttle Radar Topography Mission (SRTM). This dataset provides polygons of nested, hierarchical watersheds, based on 15 arc-seconds (approx. 500 m at the equator) resolution raster data. The watersheds range from level 1 (coarse) to level 12 (detailed), using Pfastetter codes. Technical documentation: https://hydrosheds.org/images/inpages/HydroBASINS_TechDoc_v1c.pdf Note that the quality of the HydroSHEDS data is significantly lower for regions above 60 degrees northern latitude as there is no underlying SRTM elevation data available and thus a coarser-resolution DEM was (HYDRO1k provided by USGS). HydroSHEDS was developed by the World Wildlife Fund (WWF) Conservation Science Program in partnership with the U.S. Geological Survey, the International Centre for Tropical Agriculture, The Nature Conservancy, and the Center for Environmental Systems Research of the University of Kassel, Germany.

HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on elevation data obtained in 2000 by NASA's Shuttle Radar Topography Mission (SRTM). This hydrologically conditioned elevation dataset is the result of an iterative conditioning and correction process. Note that the conditioning process alters the original DEM and may render it incorrect for applications other than deriving drainage directions. Endorheic basins (inland sinks) are ''seeded'' with a no-data cell at their lowest point in order to terminate the flow. Full details of the underlying digital elevation model are available in the HydroSHEDS website and documentation. This dataset is at 3 arc-second resolution. The datasets available at 3 arc-seconds are the Void-Filled DEM, Hydrologically Conditioned DEM, and Drainage (Flow) Direction. There are two areas with incorrect negative values of -100 close to Vancouver, Canada around (50.16, -123.85) and Australia (-14.96, 129.62)

HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales) provides hydrographic information in a consistent and comprehensive format for regional and global-scale applications. HydroSHEDS offers a suite of geo-referenced data sets (vector and raster), including stream networks, watershed boundaries, drainage directions, and ancillary data layers such as flow accumulations, distances, and river topology information. HydroSHEDS is derived from elevation data of the Shuttle Radar Topography Mission (SRTM) at 3 arc-second resolution. Available HydroSHEDS resolutions range from 3 arc-second (approx. 90 meters at the equator) to 5 minute (approx. 10 km at the equator) with seamless near-global extent.

Citation:Title: HydroSHEDS (BAS) - Africa drainage basins (watershed boundaries) at 30s resolutionCredits: World Wildlife Fund (WWF)Publication Date: 2006Publisher: U.S. Geological SurveyOnline Linkages: http://hydrosheds.cr.usgs.govhttp://www.worldwildlife.org/hydroshedsOther Citation Info: Please cite HydroSHEDS as: Lehner, B., Verdin, K., Jarvis, A. (2006): HydroSHEDS Technical Documentation. World Wildlife Fund US, Washington, DC. Available at http://hydrosheds.cr.usgs.gov.

This layer package was loaded using Data Basin.Click here to go to the detail page for this layer package in Data Basin, where you can find out more information, such as full metadata, or use it to create a live web map.

The major rivers of the world are derived from the World Wildlife Fund's (WWF) HydroSHEDS drainage direction layer and a stream network layer. The drainage direction layer was created from NASA's Shuttle Radar Topographic Mission (SRTM) 15-second Digital Elevation Model (DEM). The raster stream network was determined by using the HydroSHEDS flow accumulation grid, with a threshold of about 1000 sqkm upstream area. The stream network dataset consists of the following information: the origin node of each arc in the network (FROM_NODE), the destination of each arc in the network (TO_NODE), the Strahler stream order of each arc in the network (STRAHLER), numerical code and name of the major basin that the arc falls within (MAJ_BAS and MAJ_NAME); - area of the major basin in square km that the arc falls within (MAJ_AREA); - numerical code and name of the sub-basin that the arc falls within (SUB_BAS and SUB_NAME); - area of the sub-basin in square km that the arc falls within (SUB_AREA); - numerical code of the sub-basin towards which the sub-basin flows that the arc falls within (TO_SUBBAS) (the codes -888 and -999 have been assigned respectively to internal sub-basins and to sub-basins draining into the sea). The attributes table now includes a field named "Regime" with tentative classification of perennial ("P") and intermittent ("I") streams.

HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on elevation data obtained in 2000 by NASA's Shuttle Radar Topography Mission (SRTM). This drainage direction dataset defines the direction of flow from each cell in the conditioned DEM to its steepest down-slope neighbor. Values of drainage direction vary from 1 to 128. All final outlet cells to the ocean are flagged with a value of 0. All cells that mark the lowest point of an endorheic basin (inland sink) are flagged with a value of -1. The drainage direction values follow the convention adopted by ESRI's flow direction implementation: 1=E, 2=SE, 4=S, 8=SW, 16=W, 32=NW, 64=N, 128=NE. This dataset is at 30 arc-second resolution. The datasets available at 30 arc-seconds are the Hydrologically Conditioned DEM, Drainage (Flow) Direction, and Flow Accumulation. Note that the quality of the HydroSHEDS data is significantly lower for regions above 60 degrees northern latitude as there is no underlying SRTM elevation data available and thus a coarser-resolution DEM was (HYDRO1k provided by USGS). HydroSHEDS was developed by the World Wildlife Fund (WWF) Conservation Science Program in partnership with the U.S. Geological Survey, the International Centre for Tropical Agriculture, The Nature Conservancy, and the Center for Environmental Systems Research of the University of Kassel, Germany.

https://www.hydrosheds.org/products/hydrolakesHydroLAKES aims to provide the shoreline polygons of all global lakes with a surface area of at least 10 ha. HydroLAKES has been developed using a suite of auxiliary data sources of lake polygons and gridded lake surface areas. All lakes are co-registered to the global river network of the HydroSHEDS database via their lake pour points. The global coverage of HydroLAKES encompasses 1.4 million individual lakes or reservoirs representing a total surface area of 2.67 million km², a total shoreline length of 7.2 million km, and a total storage volume of 181,900 km³. HydroLAKES only includes a limited amount of (mostly geometric) attribute information, such as surface area, shoreline length, and estimates of average depth, water volume and residence time. Every lake is also co-registered to a river reach of the HydroRIVERS dataset and a sub-basin of the HydroBASINS database (via shared IDs).‍Note that the overarching HydroATLAS database fully contains all lakes of HydroLAKES, which have additionally been enhanced in HydroATLAS with a large number of hydro-environmental characteristics.

The World Hydro Basemap service is designed to be used as a base map by scientists, professionals, and researchers in the fields of Hydrology, Geography, Climate, Soils, and other natural sciences. The map features a hydro-centric design based on the amount of water flowing within the drainage network such that symbols of the same size and color represent roughly the same amount of water. This map shows surface water flow as a linear phenomenon even over and through bodies of water. Using the best available data we show relative flow accurately, so that if one river carries more water downstream than another river, the result will be that the river will have a thicker symbol on the map. This map is a mashup of the World Hydro Reference overlay, and the World Terrain base, which allows you to sandwich in content such as thematic services like soil units, vegetation, or ecoregions. This basemap provides a frame of reference for showing regional, national, and continental hydrologic phenomena such as drought, runoff, river level monitoring and flood forecasting.River names are collected in the UTF8 character set, so river names are collected in their original language, but are written in the Roman alphabet. Sources for all river names are from the open source geonames.org project so they are international by nature.The map is compiled from several sources. The global scales (very small scales through 1:2,300,000) include content from: HydroSHEDS, GTOPO30 Global Topographic Data, SRTM, GLWD, WorldClim, GRDC, and WWF Global 200 Terrestrial Eco Regions, with the latter three providing the inputs and basis for calculating flow. At medium scales (1:36,000 to 1:2,000,000) this service currently contains only U.S. data from the NHDPlusV2 that was jointly produced by the USGS and EPA. This work is licensed under the Web Services and API Terms of Use. View Summary | View Terms of Use HydroSHEDSThis product, the World Hydro Basemap, incorporates data from the HydroSHEDS database which is © World Wildlife Fund, Inc. (2006-2012) and has been used herein under license. WWF has not evaluated the data as altered and incorporated within the World Hydro Basemap, and therefore gives no warranty regarding its accuracy, completeness, currency or suitability for any particular purpose. Portions of the HydroSHEDS database incorporate data which are the intellectual property rights of © USGS (2006-2008) (data available from U.S. Geological Survey, EROS Data Center, SD), NASA (2000-2005), ESRI (1992-1998), CIAT (2004-2006), UNEP-WCMC (1993), WWF (2004), Commonwealth of Australia (2007), and Her Royal Majesty and the British Crown and are used under license. The scientific citation for the HydroSHEDS database is: Lehner, B., Verdin, K., Jarvis, A. (2008): New global hydrography derived from spaceborne elevation data. Eos, Transactions, AGU, 89(10): 93-94.

Context

This dataset was uploaded in order to create hydrological maps for a project examining precipitation levels in Syria.

Content

Shapefiles for the main Syrian river basins. Access is recommended via rgdal::readOGR(). Only the .shp file needs to be read in for each basin; the rest will be included automatically.

Acknowledgements

CEO Water Mandate. 2016. Interactive Database of the World's River Basins. Web. http://ceowatermandate.org/riverbasins.

This product incorporates data from the HydroSHEDS database which is © World Wildlife Fund, Inc. (2006-2013) and has been used herein under license. WWF has not evaluated the data as altered and incorporated within the Interactive Database of the World's River Basins, and therefore gives no warranty regarding its accuracy, completeness, currency or suitability for any particular purpose. Portions of the HydroSHEDS database incorporate data which are the intellectual property rights of © USGS (2006-2008), NASA (2000-2005), ESRI (1992-1998), CIAT (2004-2006), UNEP-WCMC (1993), WWF (2004), Commonwealth of Australia (2007), and Her Royal Majesty and the British Crown and are used under license. The HydroSHEDS database and more information are available at: http://www.hydrosheds.org.

This data is downloaded from the page below. url : https://www.hydrosheds.org/products/hydrorivers doc : https://data.hydrosheds.org/file/technical-documentation/HydroRIVERS_TechDoc_v10.pdf

"One belt, one road" delineation of the key Asian regional watershed boundaries is based on the following principles: Principle 1: along the Silk Road Principle 2: located in arid and semi-arid areas Principle 3: high water risk Principle 4: watershed integrity 1. Division basis of arid area Food and Agriculture Organization of the United Nations. FAO GEONETWORK. Global map of aridity - 10 arc minutes (GeoLayer). (Latest update: 04 Jun 2015) Accessed (6 Mar 2018). URI: http://data.fao.org/ref/221072ae-2090-48a1-be6f-5a88f061431a.html?version=1.0 2. Water resources risk data: Gassert, F., M. Landis, M. Luck, P. Reig, and T. Shiao. 2014. Aqueduct Global Maps 2.1. Working Paper. Washington, DC: World Resources Institute. 3. Poverty index data: Elvidge C D, Sutton P C, Ghosh T, et al. A global poverty map derived from satellite data. Computers & Geosciences, 2009, 35(8): 1652-1660. https://www.ngdc.noaa.gov/eog/dmsp/download_ poverty.html 4. Basic basin boundary data: (1) Watershed boundaries were derived from HydroSHEDS drainage basins data (Lehner and Grill 2013) based on a grid resolution of 15 arc-seconds (approximately 500 m at the equator), which can be free download via https://hydrosheds.cr.usgs.gov/hydro.php (2) AQUASTAT Hydrological basins: This dataset is developed as part of a GIS-based information system on water resources. It has been published in the framework of the AQUASTAT - programme of the Land and Water Division of the Food and Agriculture Organization of the United Nations. The map is also available in the SOLAW Report 15: “Sustainable options for addressing land and water problems – A problem tree and case studies”. Data can be free download via http://www.fao.org/nr/water/aquamaps/ (3) HydroBASINS: https://www.hydrosheds.org/downloads 5. The GloRiC provides a database of river types and sub-classifications for all river reaches globally. https://www.hydrosheds.org/page/gloric 6. HydroATLAS offers a global compendium of hydro-environmental sub-basin and river reach characteristics at 15 arc-second resolution. https://www.hydrosheds.org/page/hydroatlas It covers an area of 1469400 square kilometers, including the following areas: Nujiang River Basin, Dead Sea basin, Sistan River Basin, Yellow River Basin, Jordan Syria eastern basin, Indus River Basin, Iran inland flow area, urmiya Lake Basin, Shiyang River Basin, hallelud mulgarb River Basin, Lianghe River Basin, Shule River Basin, Heihe River Basin, issekkor Lake Basin, Tata River Basin Limu River Basin, Turpan Hami basin, Ebinur Lake Basin, Junggar basin, Amu Darya River Basin, Manas River Basin, ulungu River Basin, Emin River Basin, Chu River Talas River Basin, Xil River Basin, Ili River Basin, Caspian Sea basin, Lancang River Basin, Yangtze River Basin, Qinghai lake water system, Eastern Qaidam Basin, western Qaidam Basin and Qiangtang plateau District, Yarlung Zangbo River Basin

The authors combine geochemical, geologic, hydrologic and geospatial data sets with numerical simulations of groundwater and analyse tritium ages to show that less than 6% of the groundwater in the uppermost portion of Earth’s landmass is modern. We find that the total groundwater volume in the upper 2 km of continental crust is approximately 22.6 million km3, of which 0.1–5.0 million km3 is less than 50 years old. Although modern groundwater represents a small percentage of the total groundwater on Earth, the volume of modern groundwater is equivalent to a body of water with a depth of about 3 m spread over the continents. This water resource dwarfs all other components of the active hydrologic cycle. For each continent, we present the geomatic assignment of hydrologic parameters and the resulting simulation-based modern groundwater equivalent (D_eq50) for the purely geomatic assignment of parameters, an estimate pairing models to watersheds using groundwater recharge and strict lithology control, and an estimate using recharge and strict water table gradient control. These files have a 2 letter acronym for the continent/landmass followed by _globalws_results_Gleesonetal_NatGeo.csv. The corresponding watershed data can be downloaded at hydrosheds.org. Geomatic analyses used an updated, unpublished HydroSHEDS watershed boundaries that are slightly different than those available on hydrosheds.org (Bernhard Lehner, personal communication 2014). Therefore, in the data presented here, we used a spatial join to assign the modeling results and geomatic data to the currently downloadable HydroSHEDS zeroth-level watersheds. Nearly all of the watersheds were very similar in extent, however a variable small percent (< 0.1%) of watersheds in each continent were not located in the currently downloadable HydroSHEDS data.

River basins or hydrologic units are often the spatial unit used for aggregating and analyzing components of the water cycle such as precipitation, runoff, riverine discharge, etc. The hydroSHEDS dataset, derived from the Shuttle Radar Topography Mission, are the most commonly used global hydrologic unit for these analyses. But when planning water use or gaps, political boundaries need to be considered. Water provinces (Straatsma et al 2020) provide a much more realistic hydrologic unit for such purposes.Esri’s World Administration Divisions (2011) defines 3,300 subnational units. Areas less than 150,000 sq km were aggregated into 1,099 regions. The water provinces were then calculated by overlaying these regions with the major basins from hydroSHEDS. After sliver polygons were removed, the result was 1,604 unique units based on river basins but constrained by political boundaries. These water provinces provide a suitable unit for longterm water use planning, especially at local scales.A more detailed description can be accessed here.

The World Hydro Basemap service is designed to be used as a base map by scientists, professionals, and researchers in the fields of Hydrology, Geography, Climate, Soils, and other natural sciences. The map features a hydro-centric design based on the amount of water flowing within the drainage network such that symbols of the same size and color represent roughly the same amount of water. This map shows surface water flow as a linear phenomenon even over and through bodies of water. Using the best available data we show relative flow accurately, so that if one river carries more water downstream than another river, the result will be that the river will have a thicker symbol on the map. This map is a mashup of the World Hydro Reference overlay, and the World Terrain base, which allows you to sandwich in content such as thematic services like soil units, vegetation, or ecoregions. This basemap provides a frame of reference for showing regional, national, and continental hydrologic phenomena such as drought, runoff, river level monitoring and flood forecasting.River names are collected in the UTF8 character set, so river names are collected in their original language, but are written in the Roman alphabet. Sources for all river names are from the open source geonames.org project so they are international by nature.The map is compiled from several sources. The global scales (very small scales through 1:2,300,000) include content from: HydroSHEDS, GTOPO30 Global Topographic Data, SRTM, GLWD, WorldClim, GRDC, and WWF Global 200 Terrestrial Eco Regions, with the latter three providing the inputs and basis for calculating flow. At medium scales (1:36,000 to 1:2,000,000) this service currently contains only U.S. data from the NHDPlusV2 that was jointly produced by the USGS and EPA. This work is licensed under the Web Services and API Terms of Use. View Summary | View Terms of Use HydroSHEDSThis product, the World Hydro Basemap, incorporates data from the HydroSHEDS database which is © World Wildlife Fund, Inc. (2006-2012) and has been used herein under license. WWF has not evaluated the data as altered and incorporated within the World Hydro Basemap, and therefore gives no warranty regarding its accuracy, completeness, currency or suitability for any particular purpose. Portions of the HydroSHEDS database incorporate data which are the intellectual property rights of © USGS (2006-2008) (data available from U.S. Geological Survey, EROS Data Center, SD), NASA (2000-2005), ESRI (1992-1998), CIAT (2004-2006), UNEP-WCMC (1993), WWF (2004), Commonwealth of Australia (2007), and Her Royal Majesty and the British Crown and are used under license. The scientific citation for the HydroSHEDS database is: Lehner, B., Verdin, K., Jarvis, A. (2008): New global hydrography derived from spaceborne elevation data. Eos, Transactions, AGU, 89(10): 93-94.

Publication

Please cite this publication if you use the dataset:

Sarrazin, F. J., Attinger, A., Kumar, R., Gridded dataset of nitrogen and phosphorus point sources from wastewater in Germany (1950-2019), submitted to Earth System Science Data.

Please also refer to the above publication for methodological details.

License

The "Gridded dataset of nitrogen and phosphorus point sources from wastewater in Germany (1950-2019)" is freely available under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0, https://creativecommons.org/licenses/by-nc-sa/4.0), in compliance with the terms of use of the Food and Agriculture Organization of the United Nations (FAO) data and German Cosmetic, Toiletry, Perfumery and Detergent Association (IKW) data that underlie the dataset.

Data description

The dataset includes estimates of nitrogen (N) and phosphorus (P) emissions from wastewater in Germany (1950-2019) at (1) grid level, and at different levels of aggregation, namely (2) at Nomenclature of Territorial units for statistics level 1 (NUTS-1), that correspond to the 16 German federal states (for this, we used the 2020 NUTS classification; BKG, 2020) and (3) at river basin level for 3778 river basins of the HydroBASINS v1.c of the HydroSHEDS database (HydroSHEDS, 2014; Lehner and Grill, 2013). It also includes the input and calibration data (at NUTS-1 and grid level) that were used to estimate the N and P emissions.

1. Input and calibration data at NUTS-1 level:
   spatial extent: Germany
   spatial resolution: NUTS-1
   time period: 1950-2019 (input data), 1987-2019 (calibration data)
   frequency: annual
   variables: input data, calibration data, parameter sample
   file format: CSV
   number of files: 3
   
   

2. Input data at grid level:
   spatial extent: Germany
   spatial resolution: 0.015625°
   time period: 1950-2019 (population data), 2020 (NUTS-1 map)
   frequency: annual
   variables: urban and rural population counts, NUTS-1 map
   file format: netCDF
   number of files: 2
   
   

3. Emission data at grid level:
   spatial extent: Germany
   spatial resolution: 0.015625°
   time period: 1950-2019
   frequency: annual
   variables:
   - N and P wastewater treatment plants (WWTPs) outgoing emissions (treated point sources)
   - N and P emissions collected in the public sewer system that are not treated in WWTPs (untreated point sources)
   unit: kg yr-1
   realisations: 200 realisations corresponding to 100 different parameter sets and 2 spatial disaggregation methods for the treated point sources
   file format: netCDF
   number of files: 100
   
4. Emission data aggregated at NUTS-1 (federal state) level:
   spatial extent: Germany
   spatial resolution: NUTS-1
   time period: 1950-2019
   frequency: annual
   variables:
   - N and P gross emissions
   - N and P total point sources (sum of treated and untreated components)
   - N and P treated point sources (WWTPs outgoing load)
   - N and P untreated point sources (emissions collected in the public sewer system that are not treated in WWTPs)
   - N and P emissions that are removed during treatment in WWTPs
   - N and P emissions lost during wastewater collection and transport
   - N and P emissions applied to agricultural soils in sewage farms
   - N and P emissions that are not collected in the sewer system nor treated in WWTPs
   - N and P incoming WWTPs load
   unit: kg yr-1
   realisations: 100 realisations corresponding to 100 different parameter sets
   file format: CSV
   number of files: 18
   
5. Emission data aggregated at river basin level:
   spatial extent: Germany
   spatial resolution: river basins from the HydroBASINS v1.c of the HydroSHEDS database (HydroSHEDS, 2014; Lehner and Grill, 2013).
   time period: 1950-2019
   frequency: annual
   variables: N and P WWTP outgoing emissions (treated point sources), N and P emissions collected in the public sewer system that are not treated in WWTPs (untreated point sources)
   unit: kg yr-1
   realisations: 200 realisations corresponding to 100 different parameter sets and 2 spatial disaggregation methods for the treated point sources
   file format: CSV
   number of files: 600

Acknowledgements and underlying datasets

Partial support for this work was provided by the Global Water Quality Analysis and Service Platform (GlobeWQ) project financed by the German Ministry for Education and Research (grant number 02WGR1527A). We thank Olaf Büttner for providing the WWTPs data that were collected from the authorities of the German federal states (Büttner et al., 2020). The dataset produced in this work builds on the NUTS map of the German Federal Agency for Cartography and Geodesy © GeoBasis-DE/BKG that is under a dl-de/by-2-0 license; the History Database of the Global Environment (HYDE) dataset available under a CC BY 4.0 license; protein data provided by the Food and Agriculture Organization of the United Nations © FAO provided under a CC BY-NC-SA 3.0 IGO license; detergent data from the German Cosmetic, Toiletry, Perfumery and Detergent Association © IKW (license here); data from the statistical offices of Germany and the federal states and the German and federal state authorities (details on data sources in the publication reported above: Sarrazin et al., submitted to Earth System Science Data); WWTP data available in the Waterbase dataset from the European Environment Agency © EEA under a CC BY 4.0 license. The river basins come from © HydroSHEDS (license here).

Contact

Fanny Sarrazin (fanny.sarrazin@inrae.fr)
Rohini Kumar (rohini.kumar@ufz.de)

References

BKG (Bundesamt für Kartographie und Geodäsie) (2020), NUTS regions 1 : 250 000, 31.12.2020, GeoBasis-DE [data set], Leipzig, Germany, https://gdz.bkg.bund.de/index.php/default/nuts-gebiete-1-250-000-stand-31-12-nuts250-31-12.html (last access: 1 November 2022).

Büttner, O. (2020), DE-WWTP - data collection of wastewater treatment plants of Germany (status 2015, metadata), HydroShare [data set],
https://doi.org/10.4211/hs.712c1df62aca4ef29688242eeab7940c.

HydroSHEDS (2014), HydroBASINS v1.c, https://www.hydrosheds.org/products/hydrobasins (last access: 23 October 2023).

Lehner, B. and Grill, G. (2013), Global river hydrography and network routing: baseline data and new approaches to study the world's large river
systems, Hydrological Processes, 27, 2171–2186, https://doi.org/10.1002/hyp.9740.

Changes compared to v1.0 dataset version

Compared to the version 1.0 of the dataset, this version v1.1 contains the input and calibration data at NUTS-1 level and the input data at grid level used to calculate the emissions.

This dataset contains the Digital Elevation Model (DEM) for Australasia from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The data were developed and distributed by processing units. There are 11 processing units for Australasia. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. au_dem_3_2.zip contains the DEM data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevati ...

Raster dataset of the following manuscript:Looking upstream: analyzing the protection of the drainage area of Amazon rivers.Aim:We provide explicit spatial information on accumulated deforestation, mining, and protection across the river network.Input datasets:We analyze land use and land cover along Amazonian rivers using several datasets. The adopted Amazon Basin limit is provided by the HydroSHEDS level 2 basin product (Lehner et al., 2008), including the Amazon and Tocantins-Araguaia basins. We used the global HydroSHEDS products at 15 arcsecs spatial resolution, based on elevation data obtained in 2000 by NASA's Shuttle Radar Topography Mission (SRTM). HydroSHEDS provides georeferenced hydrographic information at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. The deforestation and mining areas in 2020 were obtained from MapBiomas Amazon Project Collection, which contains annual land use and land cover maps for the region based on automatic classification of satellite imagery. The protected areas were obtained from World Database on Protected Areas (WDPA), updated monthly and managed by the United Nations Environment Programme's World Conservation Monitoring Centre.All non-natural land use and land cover classes were reclassified as deforestation areas, reprojected, and downgraded to the Hydrosheds pixel resolution. For this process, we calculated the fraction of each Hydrosheds pixel covered by the 30 m deforested pixels and multiplied the results by the Hydrosheds pixel areas. The MapBiomas project considers mining as all areas of extraction of minerals with soil exposure without differentiating the type of mining (industrial, artisanal, or illegal). Many overlapping PAs in the WDPA with different categories and designations (national, regional, and international PAs) were maintained in this study.Output dataset:From the 15 arc-second (~500 m) flow direction matrix, we calculated the upstream area for each pixel (flow accumulation). The next step was to identify the river network, which is considered the channelized river. For this step, a threshold of 20 km² on the flow accumulation matrix was applied to determine the beginning of the river network. A similar method was used to compute the accumulated area occupied by each land use type upstream of the drainage pixel. The value of each feature (deforested/mining/protected areas) accumulated in a pixel equals the sum of the values of the feature areas in all pixels that drain to it, based on their flow direction information. The final step was determining the percentage between each land use accumulated and the contributing area for each river network pixel.

Terrestrial and freshwater watersheds - TNC 2024 - generated using HydroSHEDS 2022 Version 1 DEM from 90m SRTM data. https://www.hydrosheds.org

Awash river is derived from the HydroRIVERS product, which was obtained by delineating river networks from hydrologically corrected elevation data (WWF HydroSHEDS, Lehner et al. 2008; Lehner and Grill 2013). The Awash river, as well as any other river within the HydroRIVERS database, is co-registered to the sub-basin of the HydroBASINS database in which it resides (via a shared ID). Source: The HydroRIVERS product has been developed on behalf of World Wildlife Fund US (WWF), Washington DC, USA, in collaboration with McGill University, Montreal, Canada. Major funding for the underpinning HydroSHEDS project was provided to WWF by Sealed Air Corporation. Citations and acknowledgements of the HydroRIVERS data should be made as follows: Lehner, B., Grill G. (2013): Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrological Processes, 27(15): 2171–2186. Data is available at www.hydrosheds.org.