首页|基于DPSR模型的英山县农村地区饮水安全评价

基于DPSR模型的英山县农村地区饮水安全评价

Safety evaluation of drinking water in rural areas of Yingshan County based on DPSR model

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饮水安全事关人民群众的生命健康、安全.针对英山县2022年缺水现状,基于驱动—压力—状态—响应(DPSR)模型构建饮水安全评价指标体系,利用熵权法、TOPSIS法结合障碍度模型,对英山县11个乡镇的农村地区饮水安全状态进行分析,明确英山县饮水安全类型的空间分布以及改进方向.结果表明,英山县11个乡镇的农村地区饮水安全整体呈不安全状态,主要是由饮水安全状态及压力系统的指标造成的;影响英山县各乡镇饮水安全的主导障碍因子为水域面积占比、森林覆盖率,因此为保护英山县农村地区的饮水安全,需要加强水库型水源地及水源涵养区的建设和保护工作;影响英山县各乡镇饮水安全的主导障碍因子具有相似性及差异性,需针对性地采取不同对策,提升其饮水安全等级.
Drinking water safety is related to the life,health,and safety of the people.This study focuses on the current water shortage situation in Yingshan County in 2022.Based on the Drive Pressure State Response(DPSR)model,a drinking water safety evaluation index system is constructed.The entropy weight method,TOPSIS method,and obstacle degree model are used to analyze the rural drinking water safety status of 11 townships,clarifying the spatial distribution pattern and improvement direction of drinking water safety types in Yingshan County.The results show that the overall drinking water safety in rural areas of 11 townships in Yingshan County is unsafe,mainly caused by state and pressure system of drinking water safety status.The main obstacles affecting the drinking water safety in Yingshan County are the proportion of water area and forest coverage.Therefore,in order to protect the drinking water safety in rural areas of Ying-shan County,it is necessary to strengthen the construction and protection of reservoir type water sources and water conser-vation areas.The dominant obstacle factors in each township of Yingshan County are similar and different,and different measures need to be taken for different townships to improve the drinking water safety level of each township.

safety evaluation of drinking waterrural areasDPSRentropy weight methodTOPSISobstacle degree model

李恬、龚寒妮、项文霞、陈金国、李明、彭亮平、吴鹏飞

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湖北省地质局第三地质大队,湖北黄冈 438000

资源与生态环境地质湖北省重点实验室,湖北武汉 430034

饮水安全评价 农村地区 DPSR 熵权法 TOPSIS 障碍度模型

湖北省地质局2023年部门预算项目

2024

资源环境与工程
湖北省地质学会,长江水利委员会长江勘测规划设计研究院,中国冶金地质勘查工程总局中南局,湖北省地质科学研究所

资源环境与工程

影响因子:0.283
ISSN:1671-1211
年,卷(期):2024.38(5)