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基于组合赋权与有序度熵模型的干旱内陆河流健康评价
引用本文:蓝利,雷晓云,高凡,黄霄. 基于组合赋权与有序度熵模型的干旱内陆河流健康评价[J]. 水资源与水工程学报, 2018, 29(3): 57-62
作者姓名:蓝利  雷晓云  高凡  黄霄
作者单位:新疆农业大学水利与土木工程学院
基金项目:国家自然科学基金项目(51409226、51769036)
摘    要:确定有效指示河流健康状态及其变化的关键因子并进行评价,对于干旱内陆河流生态水环境保护与河流适应性管理至关重要。以叶尔羌河干流卡群-艾里克塔木河段为对象,采用"压力-状态-响应"模型(以下简称PSR模型)和"可达最佳状态"参照标准选择23项指标构建河流健康评价指标体系和评价标准,运用组合赋权和有序度熵模型对现状水平年叶尔羌河河流健康状况进行评价。结果表明:叶尔羌河干流卡群-艾里克塔木河段综合健康指数0.529,评价等级为亚健康状态(Ⅲ级),分河段卡群-依干其(S1)综合健康指数(0.546)略优于河段依干其-艾里克塔木(S2)。评价结果与实际情况基本相符,河流健康受到威胁,需引起有关部门注意。

关 键 词:组合赋权   有序度熵   可达最佳标准   PSR模型   河流健康评价   干旱内陆河   叶尔羌河组合赋权   有序度熵   可达最佳标准   PSR模型   河流健康评价   干旱内陆河   叶尔羌河

Arid inland river health assessment based on combination weighting and ordered entropy models
LAN Li,LEI Xiaoyun,GAO Fan,HUANG Xiao. Arid inland river health assessment based on combination weighting and ordered entropy models[J]. Journal of water resources and water engineering, 2018, 29(3): 57-62
Authors:LAN Li  LEI Xiaoyun  GAO Fan  HUANG Xiao
Abstract:Determining and evaluating the key factors that effectively indicate river health status and its changes are critical for the eco-hydrological conservation of arid inland rivers and adaptive river management. Taking the Yarkant River mainstream as the research object, from the system theory point of view, 23 specific indicators were selected based on the conceptual model of "pressure-state-response" and the "achievable best state" reference standard to construct river health evaluation indicators and standards. The model of river health assessment based on the entropy of order is established to evaluate the river health of the Yarkant River in the arid region. The results showed that the current status of assessment of the target layer health level was 0.529, which was in the sub-health state (level III). The carded group of the river segment-Iganqi (S1) comprehensive health index (0.546) was better than the river section Yiqin-Erik Tamu (S2). The evaluation results are basically in line with the actual situation, and the health of the river is threatened, and it needs to arouse the attention of relevant departments.
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