基于模糊可变模型的秦淮河健康评价
Health Assessment of the Qinhuai River Ecosystem based on Variable Fuzzy Sets
投稿时间:2018-04-22  修订日期:2020-01-02
中文关键词:河流健康评价  可变模糊集  层次分析法  秦淮河
英文关键词:river health assessment  variable fuzzy sets  analytic hierarchy process(AHP)  Qinhuai River
基金项目:国家重点研发计划课题(2017YFC0404503);国家自然科学基金(51509265,51625904);中国水科院基本科研业务费项目(WR0145B522017)
作者单位E-mail
侯佳明 中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室, 北京 100038 673131744@qq.com 
胡鹏 中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室, 北京 100038  
刘凌 河海大学水文水资源与水利工程科学国家重点shiyans,江苏 南京 210098  
张梦婕 中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室, 北京 100038  
曾庆慧 中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室, 北京 100038  
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中文摘要:
      针对河流生态系统的复杂性和模糊性,本文以可变模糊集理论为基础,提出了基于模糊可变模型的城市河流健康评价方法,并将其运用于评价实例当中。以南京市秦淮河为例,根据城市河流健康的内涵和特点,提出由目标层、控制层、状态层、指标层组成的4级19项评价指标体系,对秦淮河的河流健康状况进行综合评价。相较于传统评价方法,利用模糊可变模型的评价结果更为直观和合理,是处理和解决河流生态系统中模糊概念和现象的有效方法。通过对评价结果的分析,识别出秦淮河目前主要存在水环境、防洪安全以及自然形态3方面问题,并提出了相应的保护修复措施。
英文摘要:
      River health assessment is an important tool for evaluating the structural and functional integrity of river ecosystems. The assessment indicates the current status of rivers, reflects the effect of restoring damaged rivers and provides data for decision making on the protection and restoration of rivers. River health is complex; a multi-layered, multi-structured, single-target system with strong ambiguity. Because of the complexity of river ecosystems, a fuzzy ecosystem health evaluation system was developed for urban rivers based on variable fuzzy sets. In this study, Qinhuai River in Nanjing was selected as a case study for health assessment using a health evaluation model. The health evaluation index for Qinhuai River includes 19 indicators, including both natural properties and social service functions. Natural properties describe the hydrological, morphological, environmental and ecological characteristics of the rivers and social services include flood control, water supply, landscape aesthetics and public satisfaction. Weighting for each of the 19 indicators was determined by the analytic hierarchy process (AHP). A five-level ecosystem health ranking was developed with ranking levels of (1) very healthy, (2) healthy, (3) sub-healthy, (4) unhealthy and (5) very unhealthy. Our results show that Qinhuai River is in an unhealthy state, consistent with assessment results using the traditional assessment method. The primary factors limiting the health of Qinhuai River were water quality, flood control safety and natural features. Protection and restoration measures were recommended to address problems and improve river health. In general, the variable fuzzy evaluation model for river health assessment in this study was found to be valid, reasonable and feasible. The study provides a reference for managing and protecting the health of urban rivers.
侯佳明,胡鹏,刘凌,张梦婕,曾庆慧.2020.基于模糊可变模型的秦淮河健康评价[J].水生态学杂志,41(3):1-8.
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