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作 者:杨法暄 郑乐 钱会[1,2] 柳凤霞 王海科[1,2] YANG Faxuan;ZHENG Le;QIAN Hui;LIU Fengxia;WANG Haike(School of Water and Environment,Chang′an University,Xi′an 710064,China;Key Laboratory of Subsurface Hydrology and Ecology Effects in Arid Areas,Ministry of Education,Xi′an 710064,China)
机构地区:[1]长安大学水利与环境学院,陕西西安710064 [2]旱区地下水文与生态效应教育部重点实验室,陕西西安710064
出 处:《水资源与水工程学报》2020年第1期77-84,共8页Journal of Water Resources and Water Engineering
基 金:西安环境水文地质调查评价项目(211529180149)。
摘 要:结合西安市水资源现状,从驱动力、压力、状态、影响和响应5个层级选取11个指标构建基于DPSIR模型的城市水资源脆弱性评价体系,采用熵权法和模糊数学评价方法对西安市分别进行时间和空间维度上的水资源脆弱性评价。结果表明:2007-2017年西安市水资源脆弱性整体上呈现先下降后上升的趋势,2007-2013明显下降,2013-2017升高,除2013年为不脆弱状态外,其余年份均为轻度或中度脆弱;2017年水资源评价结果显示,西安市各地区水资源脆弱性存在明显差异,市区水资源脆弱性最高,周至县最低;优化水资源配置,提高水资源利用率,缓解供需矛盾是降低水资源脆弱性的关键。According to the current situation of water resources in Xi’an,11 indicators were selected from five levels of driving forces,ramely pressure,state,impact and response to construct the urban water resources vulnerability assessment system based on DPSIR model.The entropy weight method and fuzzy mathematics method were used to evaluate the water resources vulnerability of Xi’an in time and space dimensions,respectively.The results showed that the water resources vulnerability of Xi’an from 2007 to2017 showed a downward trend and then an upward trend.It decreased significantly from 2007 to 2013,and rose from 2013 to 2017.Except for the non-vulnerable state in 2013,the other years are mild or moderate vulnerable.The water resources evaluation results in 2017 show that the water resources vulnerabilities of different regions is highly differentiated.In contrast,the urban water resources vulnerability is the highest,and Zhouzhi County is the lowest.Optimizing water resources allocation,improving water resources utilization rate and alleviating the contradiction between supply and demand are the key to reducing water resources vulnerability.
关 键 词:城市水资源 脆弱性 DPSIR模型 熵权法 西安市
分 类 号:TV213.4[水利工程—水文学及水资源]
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