Guan'gai paishui xuebao (Aug 2022)
Using VSD Model to Analyze Water Resource Vulnerability in Wet Mountain Region: Taking Xiangxi Tujiazu & Miaozu Autonomous Prefecture as an Example
Abstract
【Objective】 The purpose of this paper is to investigate the evolution of water resource vulnerability in the southern wet mountain regions in China. 【Method】 We took Xiangxi Tujiazu & Miaozu Autonomous Prefecture as an example, and developed a VSD model to calculate their water resource vulnerability evaluation index by considering exposure, sensitivity and adaptation. It included three hierarchies and 15 indicators. The evaluation model was developed based on the projection pursuit-cloud model. 【Result】 The trend of water resources vulnerability in Xiangxi Autonomous Prefecture can be divided into four categories including good category, category in continuous improvement, continuously worsening category, and category in fluctuation. The good category includes water consumptions by agriculture, industry, domestic use and water quality compliance rate; the continuous improvement category includes eco-environmental water demand, forest coverage rate, water storage of large and medium-sized reservoirs, sewage recovery rate, and length of embankments; continuously worsening category includes tourism revenue, effective irrigation area; the fluctuation category includes water yield coefficient, water resources per capita, annual rainfall, and groundwater water exploitation. The comprehensive evaluation changed from moderate vulnerability to weak vulnerability since the work for aquatic ecological civilization, the system for the river-leader and model river have been carried out. 【Conclusion】 The enhancement of the water resources system in Xiangxi Prefecture is related to its eco-civilization of water, river chief system, but it should also develop ecological tourism and water infrastructure construction. The method we developed in this paper can be used to evaluate and analyze water resource vulnerability in the other wet mountainous regions.
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