Volume 11 Issue 2
Mar.  2021
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LING Bing, LIU Xiaobo, HUANG Wei, CHEN Xuekai. Analysis of water scarcity characteristics in data-deficient watersheds based on hydrological model: taking Minjiang Tributary Mangxi River Basin as an example[J]. Journal of Environmental Engineering Technology, 2021, 11(2): 241-248. doi: 10.12153/j.issn.1674-991X.20200245
Citation: LING Bing, LIU Xiaobo, HUANG Wei, CHEN Xuekai. Analysis of water scarcity characteristics in data-deficient watersheds based on hydrological model: taking Minjiang Tributary Mangxi River Basin as an example[J]. Journal of Environmental Engineering Technology, 2021, 11(2): 241-248. doi: 10.12153/j.issn.1674-991X.20200245

Analysis of water scarcity characteristics in data-deficient watersheds based on hydrological model: taking Minjiang Tributary Mangxi River Basin as an example

doi: 10.12153/j.issn.1674-991X.20200245
More Information
  • Corresponding author: LIU Xiaobo E-mail: xbliu@iwhr.com
  • Received Date: 2020-10-13
  • Publish Date: 2021-03-20
  • Aiming at the problems of large spatial and temporal scale and low precision in current analysis of basin water scarcity, a method suitable for the study of water scarcity in data-deficient watersheds was established, using the SWAT model to calculate the total amount of water resources of the watershed. Based on the statistical data, the water demand of the watershed was calculated, and the monthly change characteristics of water scarcity in the watershed studied. The method was applied to Mangxi River Basin, with the characteristics of water shortage being analyzed from perspectives of different time, different space and different industries. The results showed that the annual average total water resource in Mangxi River Basin was 564.6 million m3, the available water was 105.99 million m3, the total water demand was 126.5 million m3, and the water scarcity was 31.34 million m3. Affected by rainfall and agricultural irrigation, the water scarcity in Mangxi River Basin was mainly in the dry season, especially in April and May when the agricultural irrigation needs were the greatest.

     

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