文章摘要
刘引鸽, 杨雨欣, 包江川, 王少雄.基于模糊综合指数法的陕西省水资源脆弱性评价Journal of Water Resources and Water Engineering[J].,2022,33(6):18-27
基于模糊综合指数法的陕西省水资源脆弱性评价
Water resources vulnerability assessment of Shaanxi Province based on fuzzy comprehensive index method
  
DOI:10.11705/j.issn.1672-643X.2022.06.03
中文关键词: 水资源脆弱性  模糊综合评价  综合指数法  障碍因子  陕西省
英文关键词: water resources vulnerability  fuzzy comprehensive evaluation  comprehensive index method  obstacle factor  Shaanxi Province
基金项目:国家自然科学基金项目(41771048); 陕西省重点研发计划项目(2022SF-364); 宝鸡文理学院创新科研项目(YJSCX21YB05)
Author NameAffiliation
LIU Yinge1,2, YANG Yuxin1, BAO Jiangchuan1, WANG Shaoxiong1 (1.宝鸡文理学院 地理与环境学院 陕西 宝鸡 721013 2.宝鸡文理学院 陕西省灾害监测与机理模拟重点实验室 陕西 宝鸡 721013) 
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中文摘要:
      根据水资源系统的结构和功能,构建了水量、水质、灾害3个准则层,自然因素、人为因素、承载因素3个约束层,27个指标层的水资源脆弱性评价体系。基于层次分析法与熵值法组合定权,运用模糊综合评价法,从时间和空间两个维度对2007-2017年陕西省10个地级市水资源脆弱性进行评价和区划,采用障碍度模型探究水资源脆弱性的障碍因子。结果表明:咸阳市和渭南市的水资源脆弱性为Ⅴ级;西安市、宝鸡市、铜川市、榆林市为Ⅱ级;延安市、汉中市、安康市、商洛市为Ⅰ级。研究期内咸阳市、渭南市、安康市、商洛市的水资源脆弱性呈下降趋势,西安市、铜川市、延安市、汉中市呈增高趋势,宝鸡市和榆林市两市脆弱性不变。在空间上表现出“南北低,中部高”的分布特征。影响水资源脆弱性的主要障碍因子为年降水量变化率、万元GDP用水量、旱涝面积受灾比、万元GDP废水排放量、地下水资源开发利用率。研究表明陕西省各地水资源脆弱状况差异较大,增强和降低趋势并存,有待于进一步开展因地适宜的管理和调控。
英文摘要:
      Based on the structure and function of water resources system, a water resources vulnerability evaluation system is constructed, which consists of three criterion layers, namely, water yield, water quality and disaster, three constraint layers, which are natural factors, human factors and bearing factors, and 27 indices. The weight are assigned using the combination of entropy weight method and analytic hierarchy process, and the water resources vulnerability of 10 prefecture-level cities in Shaanxi Province from 2007 to 2017 is evaluated and categorized using the fuzzy comprehensive evaluation method from spatial and temporal perspectives. In the meantime, the obstacle degree model is applied to explore the obstacle factors of water resources vulnerability. The results show that the water resources vulnerability of Xianyang and Weinan is categorized as Grade Ⅴ; that of Xi’an, Baoji, Tongchuan and Yulin is Grade Ⅱ; and that of Yan’an, Hanzhong, Ankang and Shangluo is Grade Ⅰ. Over the 11 years, the water resources vulnerability of Xianyang, Weinan, Ankang and Shangluo showed a downward trend, whereas that of Xi’an, Tongchuan, Yan’an and Hanzhong showed an increasing trend, and that of Baoji and Yulin remained unchanged. Spatially, it showed the distribution pattern of “low in the north and south regions, high in the middle regions”. The main obstacle factors affecting water resources were change rate of annual precipitation, water consumption of 10 thousand RMB GDP, disaster ratio of drought and flood area, wastewater discharge of 10 thousand RMB GDP, and development and utilization rate of groundwater resources. The research shows that the water resources vulnerability varies widely across various regions in Shaanxi Province, with the coexistence of the tendency of increase and decrease, indicating that individualized management and regulation measures that suit local circumstances should be carried out.
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