首页  |  本刊简介  |  编委会  |  投稿须知  |  订阅与联系  |  微信  |  出版道德声明  |  Ei收录本刊数据  |  封面
基于DPSIR-熵权的陕西省水生态安全评价及障碍诊断分析
摘要点击 112  全文点击 4  投稿时间:2024-06-03  修订日期:2024-08-31
查看HTML全文 查看全文  查看/发表评论  下载PDF阅读器
中文关键词  陕西  水生态安全评价  熵权法  综合指数法  TOPSIS法  VIKOR法  障碍度
英文关键词  Shaanxi  water ecological safety evaluation  entropy weight method  composite index method  TOPSIS method  VIKOR method  barrier degree
DOI    10.13227/j.hjkx.20250728
作者单位E-mail
王毅勇 宝鸡文理学院地理与环境学院, 宝鸡 721013
中国科学院东北地理与农业生态研究所, 长春 130102 
28480016@qq.com 
周超凡 宝鸡文理学院地理与环境学院, 宝鸡 721013
江苏省南京市淳辉高级中学, 南京 211300 
 
黄榕 宝鸡文理学院地理与环境学院, 宝鸡 721013  
薛曌娜 宝鸡文理学院地理与环境学院, 宝鸡 721013  
田思婷 宝鸡文理学院地理与环境学院, 宝鸡 721013  
中文摘要
      利用2012~2021年陕西省10个地级市的水生态安全数据,构建基于DPSIR评价模型的评价指标体系,并以熵权法为基础,使用综合指数法、TOPSIS法和VIKOR法进行陕西省水生态安全评价,并对指标进行障碍度分析. 结果显示:①2012~2021年,陕西省10个地级市水生态安全都得到了提升,截至2021年,各个地级市水生态安全评价值介于0.546 23~0.780 00(“预警”至“较安全”阶段)之间,评价排序为:宝鸡市<铜川市<安康市<咸阳市<商洛市<汉中市<延安市<榆林市<渭南市<西安市;②极端指标的障碍度分布在2016年前后,且大都位于压力层,层次障碍度除驱动层逐年提升外,其余层次障碍度均有不同程度下降;③各地级市的障碍因子中,“化学需氧量排放量”和“氨氮排放量”是主要的障碍因子,水质提升和追求经济高质量发展是陕西省水生态安全改善的主要途径.
英文摘要
      This study utilizes the water ecological security data of 10 prefecture-level cities in Shaanxi Province from 2012 to 2021, constructs the evaluation index system based on the DPSIR evaluation model, and carries out the evaluation of water ecological security in the Shaanxi Province based on the entropy weighting method. Three methods were comprehensively used, namely, the comprehensive index method, the TOPSIS method, and the VIKOR method, and the obstacle degree analysis of the indexes was conducted. The results showed that: ① From 2012 to 2021, the water ecological security of all 10 prefectural-level cities in the Shaanxi Province improved, and as of 2021, the evaluation value of water ecological security of each prefectural-level city ranged from 0.546 23 to 0.78, and the evaluation value was between 0.546 23 and 0.780 00. The evaluation order was: Baoji < Tongchuan < Ankang < Xianyang < Shangluo < Hanzhong < Yan'an < Yulin < Weinan < Xi'an. ② The barrier degree of the extreme indicators was distributed around 2016, and most of them were located in the pressure layer. The hierarchical barrier degree improved year by year in addition to the driving layer, and the barrier degree of the rest of the hierarchical levels declined in varying degrees. ③ Among the barrier factors of each prefectural-level city, the “chemical oxygen demand” (COD) emission and ammonia nitrogen (AN) emission were the main obstacle factors, and the improvement of water quality and the pursuit of high-quality economic development are the main ways to improve water ecological security in Shaanxi Province.

您是第82854299位访客
主办单位:中国科学院生态环境研究中心 单位地址:北京市海淀区双清路18号
电话:010-62941102 邮编:100085 E-mail: hjkx@rcees.ac.cn
本系统由北京勤云科技发展有限公司设计  京ICP备05002858号-2