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A data set of global river networks and corresponding water resources zones divisions
- Source :
- Scientific Data, Vol 6, Iss 1, Pp 1-11 (2019), Scientific Data
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- As basic data, the river networks and water resources zones (WRZ) are critical for planning, utilization, development, conservation and management of water resources. Currently, the river network and WRZ of world are most obtained based on digital elevation model data automatically, which are not accuracy enough, especially in plains. In addition, the WRZ code is inconsistent with the river network, hindering the efficiency of data in hydrology and water resources research. Based on the global 90-meter DEM data combined with a large number of auxiliary data, this paper proposed a series of methods for generating river network and water resources zones, and then obtained high-precision global river network and corresponding WRZs at level 1 to 4. The dataset provides generated rivers with high prevision and more accurate position, reasonable basin boundaries especially in inland and plain area, also the first set of global WRZ at level 1 to 4 with unified code. It can provide an important basis and support for reasonable use of water resources and sustainable social development in the world.<br />Measurement(s)riverTechnology Type(s)computational modeling techniqueFactor Type(s)geographic locationSample Characteristic - Environmentfreshwater riverSample Characteristic - LocationEarth (Planet) Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.9785243
- Subjects :
- Statistics and Probability
Data Descriptor
010504 meteorology & atmospheric sciences
0208 environmental biotechnology
02 engineering and technology
Library and Information Sciences
Structural basin
01 natural sciences
Education
Set (abstract data type)
Hydrology (agriculture)
Code (cryptography)
lcsh:Science
Digital elevation model
0105 earth and related environmental sciences
Natural hazards
020801 environmental engineering
Computer Science Applications
Data set
Water resources
River network
Environmental science
lcsh:Q
Hydrology
Statistics, Probability and Uncertainty
Water resource management
Information Systems
Subjects
Details
- ISSN :
- 20524463
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Scientific Data
- Accession number :
- edsair.doi.dedup.....3f47c69dab9091f029a757dd84ee33ef
- Full Text :
- https://doi.org/10.1038/s41597-019-0243-y