Modeling Water Accessibility of Natural River Networks Using the Fine-Grained Physical Watershed Characteristics at the Grid Scale
Guangming Yu (),
Xiaoxu Chen,
Zhenfa Tu (),
Qiwu Yu,
Yu’an Liu and
Hailong Yu
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Guangming Yu: Hubei Province Key Laboratory for Geographical Process Analysis and Simulation
Xiaoxu Chen: Central China Normal University
Zhenfa Tu: Hubei Province Key Laboratory for Geographical Process Analysis and Simulation
Qiwu Yu: Central China Normal University
Yu’an Liu: Hubei Province Key Laboratory for Geographical Process Analysis and Simulation
Hailong Yu: Central China Normal University
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2017, vol. 31, issue 7, No 14, 2284 pages
Abstract:
Abstract Traditional assessments of water resources use water availability as an evaluating metric. Water availability is a statistical average and cannot reflect the spatial differences of water resources in a region or basin. This assessment usually engenders a paradox, that is, water resources are abundant in a region but it is difficult to obtain water for the people on some spatial points in this region. In this study we define a new term, water accessibility, to eliminate this paradox and develop a model of water accessibility (the SHRD model) to meet the need of spatial details in water resources assessment at the grid scale. In the case study the water accessibility of the Hanjiang River Basin is mapped and assessed by the SHRD model. The comprehensive index of water accessibility is 0 to 4.5 and tends to increase from northwest to southeast in the study area. The results of the SHRD model can show the spatial pattern of water accessibility in a region, and can server a more finely-tuned water resources management approach. This model and method push the macroscopic (regional) water resources assessment forward from the microcosmic (raster cell) analysis.
Keywords: Water accessibility; Natural river network; SHRD model; Watershed scale; Water resources management (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s11269-017-1643-4
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