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- Title
Developing the hydrological dependency structure between streamgage and reservoir networks.
- Authors
Mukhopadhyay, Sudarshana; Sankarasubramanian, A.; Awasthi, Chandramauli
- Abstract
Reliable operation of physical infrastructures such as reservoirs, dikes, nuclear power plants positioned along a river network depends on monitoring riverine conditions and infrastructure interdependency with the river network, especially during hydrologic extremes. Developing this cascading interdependency between the riverine conditions and infrastructures for a large watershed is challenging, as conventional tools (e.g., watershed delineation) do not provide the relative topographic information on infrastructures along the river network. Here, we present a generic geo-processing tool that systematically combines three geospatial layers: topographic information from the National Hydrographic Dataset (NHDPlusV2), streamgages from the USGS National Water Information System, and reservoirs from the National Inventory of Dams, to develop the interdependency between reservoirs and streamgages along the river network for upper and lower Colorado River Basin (CRB) resulting in River and Infrastructure Connectivity Network (RICON) that shows the said interdependency as a concise edge list for the CRB. Another contribution of this study is an algorithm for developing the cascading interdependency between infrastructure and riverine networks to support their management and operation. Measurement(s) network connectivity of streamgages and reservoirs Technology Type(s) geospatial analysis • computational modeling technique • digital curation Factor Type(s) location of USGS streamgages • location of NID reservoirs Sample Characteristic - Environment drainage basin • reservoir Sample Characteristic - Location Colorado River Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12757940
- Subjects
COLORADO River Watershed (Colo.-Mexico); NUCLEAR power plants; HYDROLOGICAL databases; INFRASTRUCTURE (Economics); GEOSPATIAL data; RESERVOIRS
- Publication
Scientific Data, 2020, Vol 7, Issue 1, pN.PAG
- ISSN
2052-4463
- Publication type
Article
- DOI
10.1038/s41597-020-00660-6