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

EU-Hydro is a dataset for all EEA38 countries and the United Kingdom providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes. The EU-Hydro dataset is distributed in separate files (river network and drainage network) for each of the 35 major basins of the EEA38 + UK area. The production of EU-Hydro and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.

HydroRIVERS represents a vectorized line network of all global rivers that have a catchment area of at least 10 km² or an average river flow of at least 0.1 m³/sec, or both. HydroRIVERS has been extracted from the gridded HydroSHEDS core layers at 15 arc-second resolution. The global coverage of HydroRIVERS encompasses 8.5 million individual river reaches with an average length of 4.2 km, representing a total of 35.9 million km of rivers globally. HydroRIVERS only includes a limited amount of (mostly geometric) attribute information, such as the river reach length, the distance from upstream headwaters and ocean outlet, the river order, and an estimate of long-term average discharge. Every river reach is also co-registered to the sub-basin of the HydroBASINS database in which it resides (via a shared ID). More information: Hydrosheds - Hydrorivers

An Improved Global River vector Dataset based on Multi-Source River Data FusionContact: Yesen Liu (liuys@iwhr.com) and Yaohuan Huang (Huang(huangyh@igsnrr.ac.cn) for questionsDownload Instructions:- The data format is a shapefile file, compressed into zip format, and divided by continent (due to the limitation of shapefile files, Russia will be saved separately as a file)- GSriver-AF-shp.zip(911M): Rivers in Africa, including 166335 rivers- GSriver-ASandEU-shp.zip(1.35G): Rivers in the Asia Europe region (excluding Russia), including 209528 rivers- GSriver-NA-shp.zip(921M): Rivers in North America, including 134242 rivers- GSriver-OA-shp.zip(246M): Rivers in Oceania, including 45738 rivers- GSriver-RUS-shp.zip(735M): Rivers in Russia, including 95122 rivers- GSriver-SA-shp.zip(666M): Rivers in South America, including 97664 riversUnderlying sources:- OSM waterways: https://www.openstreetmap.org- HydroRIVERS: https://www.hydrosheds.org/products/hydrorivers- Global River Topology(GRIT): https://zenodo.org/records/11219313/filesCoordinate system-WGS84(World Geodetic System 1984)Spatial and Temporal Coverage:The dataset covers global river networks (divided by continents) and specified the temporal baseline of the input sources (HydroRIVERS v10, OSM Waterways 2022, and GRIT).Reference:- Liu Y., Wang J.H, Liu C.J, etc. Allen (in review): An Improved Global River vector Dataset based on Multi-Source River Data FusionVariables and Units(Name ,Type ,Description):- OBJECT ,integer ,ID Field in MDB Vector Layer Files- shape ,Binary ,Stores geometric information of river lines- HydroID ,LONG ,Upstream HydroRIVERS reach ID(from HYDRO_ID field), serving as the unique identifier for the river- Nextdown ,LONG ,Code of the receiving river(0 for level-1 rivers indicating sea/lake termination or inland rivers)- MAINRIVID ,LONG ,Watershed ID(from MAINRIV_ID field in HydroRIVERS)- Hydrocount ,LONG ,Number of original HydroRIVERS reaches merged into this river- Rclass ,INTEGER ,River classification level- RclassDISP ,INTEGER ,Display classification level(using 11 major rivers as level-1 reference)- Rlenth ,DOUBLE ,River length(km)- Hydrolenth ,DOUBLE ,Original HydroRIVERS reach length before fusion(km)- Rcatch ,DOUBLE ,Drainage area of this river(excluding tributary areas)(km²)- TCatch ,DOUBLE ,Total drainage area of all tributaries(km²)- OSMratio ,DOUBLE ,Percentage of vertices from OSM waterways(2 decimal places)- GRITratio ,DOUBLE ,Percentage of vertices from GRIT(2 decimal places)- Hydroratio ,DOUBLE ,Percentage of vertices from HydroRIVERS(2 decimal places)- Rname ,STRING ,River name(Some names have been modified based on other datasets)- NameList ,STRING ,All associated OSM waterway names- OrignCNT ,STRING ,Country of river originMethods of creation:We devised a multi-resolution vector data fusion framework by integrating high-precision coordinate information into existing river networks to produce SkyRivers. In this study, SkyRivers is generated by fusing HydroRIVERS with OSM waterways, while utilizing GRIT as a supplementary data source in regions where OSM waterways coverage is incomplete. To these three vector datasets, there are two fundamental technical challenges for data fusion:(1) establishing accurate correspondences between HydroRIVERS and their counterparts in OSM waterways or GRIT, and(2) effectively integrating the high-resolution coordinates from OSM waterways or GRIT into the HydroRIVERS river network topology. To overcome these challenges, our approach implemented several key solutions including HydroRIVERS reaches integration, OSM Waterways identification, multi-data fusion, GRIT supplement, and topology repair.Potential applications:- Flood forecasting- Development of Water Information Platform- Water resources mapping- Overlay analysis with high-resolution land use dataUncertainty Estimates:The accuracy of OSM data varies widely depending on contributor activity, which can introduce inconsistencies in sparsely mapped areas. For instance, the United States contains over 6.6 million of the 27 million total OSM river reaches, substantially exceeding other countries’ coverage. In GSriver, approximately 23.6% of river reaches remain unmodified and retain their original lower spatial accuracy. Additionally, while GRIT helps supplement sparsely mapped areas, it still inherits the limitations of DEM-based approaches in flatlands and deltaic systems. Validation also revealed a few residual topological inconsistencies in plain regions such as the Huai River Basin in China. To address these limitations, each river in GSriver includes metadata fields for source and fusion ratio to aid transparency and user interpretation. Users can assess the quality of individual river segments using the OSMratio, GRITpercent, and Hydropercent fields in the attribute table. Rivers with higher OSMratio generally exhibit higher spatial precision, while those with high Hydropercent retain the uncertainty inherent in DEM-derived networks.

This dataset is the Florida Department of Environmental Protection's version of the U.S. Geological Survey Digital Line Graph (DLG). The DLG represents water and wetland features from USGS 30 by 60 minute quad maps.

Dataset

This dataset was created by cwhetstone

Contents

The EU-Hydro dataset (http://land.copernicus.eu/pan-european/satellite-derived-products/eu-hydro) is a photo-interpreted river network for the EEA39 countries derived from satellite imagery supplemented with ancillary data sources. The data model of the EU-Hydro River network consists of seven polygon feature classes, three polyline feature classes and two point feature classes. The point feature classes are the Culverts and the Nodes, the line feature classes are the Canals_l, the Ditches_l and the River_Net_l, and last but not least, the polygon feature classes are the Calals_p, the Ditches_p, the River_Net_p, the InlandWater, the Transit_p, the Coastal_p and the RiverBasins. All feature classes have attribute field names with the maximum of ten characters, according to the final Data Dictionary, approved by EEA.

EU-Hydro river network is divided into 35 basins (covering all EEA39 countries) available in geodatabase format with geometries and attributes (including HYDRO Feature Dataset with 12 Feature Classes in turn): Oder, Elbe, Rhine, Seine, Vistula, Skjern, Loire, Garonne, Rhone, Duero, Ebro, Tajo, Jucar, Guadalquivir, Shannon, Thames, Tweed, Iceland, French Guiana, French Islands, Hondo, Mesima, Tevere, Po, Tirso, Pinios / Bulgaria, Nemunas, Danube, Gota, Angerman, Neva, Kemi, Tana, Vorma, Turkey.

This .zip file contains DK-model2019, area DK1 and DK2 (Sjælland og Øerne), as a coupled MIKE SHE/MIKE HYDRO River model setup. The National Hydrological Model (DK-Model) is set up in the MIKE SHE/MIKE HYDRO River model system, which constitutes a deterministic fully distributed and physically based model complex for simulating the freshwater cycle. The model includes a description of the surface runoff (OL), the unsaturated zone (UZ), the saturated groundwater zone (SZ), including drainage runoff, as well as water flow in the streams (MIKE HYDRO River). The numerical hydrological model is set up in a discretization of 500 x 500m grid for the whole country, except for Bornholm, which is set up with a discretization of 250x 250m.

Turkey Gross Electricity Generation: Hydro: River data was reported at 1,177.214 GWh in Jul 2018. This records a decrease from the previous number of 1,970.258 GWh for Jun 2018. Turkey Gross Electricity Generation: Hydro: River data is updated monthly, averaging 963.502 GWh from Jan 2010 (Median) to Jul 2018, with 103 observations. The data reached an all-time high of 3,367.064 GWh in Apr 2015 and a record low of 346.367 GWh in Sep 2010. Turkey Gross Electricity Generation: Hydro: River data remains active status in CEIC and is reported by Turkish Electricity Transmission Company. The data is categorized under Global Database’s Turkey – Table TR.RB006: Electricity Generation Statistics.

Preprocessing report files for MIKE She model configuration applied for the reference scenario of th Ohat study site, Hungary

The dataset represents major hydrographic features in the St Johns River Water Management District. Also, provides representation of the Atlantic Ocean.

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.

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.

This is subset of the original dataset. Data is clipped to extent boundaries and filtered by field (DIS_AV_CMS >= 1). A link to the original dataset and its description is below.https://www.hydrosheds.org/hydroatlasHydroATLAS offers a global compendium of hydro-environmental characteristics for all sub-basins of HydroBASINS, all river reaches of HydroRIVERS, and all lake polygons of HydroLAKES.The HydroATLAS database is divided into three distinct sub-datasets: BasinATLAS, RiverATLAS, and LakeATLAS which represent sub-basin delineations (polygons), the river network (lines), and lake shorelines (polygons), respectively. In total, HydroATLAS contains 1.0 million sub-basins, 8.5 million river reaches, and 1.4 million lakes.HydroATLAS has been created by compiling and re-formatting a wide range of hydro-environmental attributes derived from existing global datasets in a consistent and organized manner. The resulting data compendium offers attributes grouped in seven categories: hydrology; physiography; climate; land cover & use; soils & geology; and anthropogenic influences. For each of the three sub-datasets, HydroATLAS contains 56 hydro-environmental variables, partitioned into 281 individual attributes.‍The HydroATLAS database is distributed in large file sizes due to the enriched attribute information. Users who only need geometric information and digital vector maps of sub-basin boundaries, river network lines, and lake shorelines may prefer to download the HydroBASINS, HydroRIVERS, or HydroLAKES products instead.

This .zip file contains DK-model HIP in 500 and 100m resolution. Simulated results with this model are shared and displayed at HIP and KAMP portals. GEUS har ophavsretten til DK-modellen Vi ønsker, at modellen bruges bredt ved løsning af opgaver eller nye undersøgelser, og giver derfor alle brugsret til modellen og data på følgende vilkår: 1.GEUS angives som kilde. 2.Brugen sker på eget ansvar, og dette skal fremgå overfor brugerens samarbejdspartnere. 3.For at sikre modellens udvikling informeres GEUS pr. email: geus@geus.dk i tilfælde, hvor der sker ændringer i modelkonceptet eller justeringer af den konceptuelle model (herunder den hydrostratigrafiske model). 4.Brugeren accepterer endvidere, at GEUS benytter sådanne ændringer/justeringer til en fremtidig opdatering af DK-modellen. National Vandressource Model udvikles og vedligeholdes løbende. Hvis man vil benytte versioner, der endnu ikke er frigivet, kan man henvende sig til os og få dem udleveret på ad hoc-basis. Det skal bemærkes, at DK-model HIP primært er udviklet og kalibreret til at simulere det terrænnære grundvand og således ikke uden videre kan forventes at kunne bruges i vandressource-sammenhænge.

This resource contains five R-markdown scripts that process and analyze the connections between MERIT Hydro River reaches of the Mississippi River for Surface Water and Ocean Topography (SWOT) satellite observable rivers. The first code calculates the cumulative amount of urban land area for each reach in the basin. The second code relates the reaches, linking them based on drainage area ratios between 0.01 and 100. It filters these relationships based on whether a SWOT measurement could be donated from one location to the other via the drainage area ratio method, dam locations, and the amount of urban area between locations. Then, the potential increase in SWOT observations throughout the basin is calculated. The third code takes 373 gauges in the river basin and calculates Kling-Gupta Efficiency (KGE) values assessing the potential of using the drainage area ratio method among the gauges. The fourth assesses the impact dams, reservoirs, and urban area have on KGE values obtained. Finally, the fifth code expands simulated SWOT time series using the qualified drainage area ratio method and compares the expansion to daily discharges by first transforming each time series into a Log Pearson Type III distribution. KGE values between quantiles of each distribution are calculated and the Kolmogorov-Smirnov and Student t significance tests are performed. These codes and their associated text files serve as the resources for the study, "Leveraging river network topology and regionalization to expand SWOT-derived river discharge time series in the Mississippi River Basin" (doi:10.3390/rs13081590).

HydroRIVERS represents a vectorized line network of all global rivers that have a catchment area of at least 10 km² or an average river flow of at least 0.1 m³/sec, or both. HydroRIVERS has been extracted from the gridded HydroSHEDS core layers at 15 arc-second resolution. The global coverage of HydroRIVERS encompasses 8.5 million individual river reaches with an average length of 4.2 km, representing a total of 35.9 million km of rivers globally. HydroRIVERS only includes a limited amount of (mostly geometric) attribute information, such as the river reach length, the distance from upstream headwaters and ocean outlet, the river order, and an estimate of long-term average discharge. Every river reach is also co-registered to the sub-basin of the HydroBASINS database in which it resides (via a shared ID).