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一种城市生态系统健康评价方法及其应用
引用本文:苏美蓉,杨志峰,王红瑞,杨晓华.一种城市生态系统健康评价方法及其应用[J].环境科学学报,2006,26(12):2072-2079.
作者姓名:苏美蓉  杨志峰  王红瑞  杨晓华
作者单位:1. 水环境模拟国家重点实验室,北京师范大学环境学院,北京,100875
2. 北京师范大学水科学研究院,北京,100875
基金项目:国家重点基础研究发展计划(973计划)
摘    要:利用集对分析方法,将评价城市生态系统健康状况的多个指标系统合成一个与最优评价集的相对贴近度,用来描述城市生态系统健康状况.运用集对分析方法,以北京、大连、上海、武汉、厦门、广州等城市为例,对1995~2003年间的城市生态系统健康进行了评价.结果表明,不同时期各城市生态系统健康状况排序有所变化,但厦门和广州一直名列前茅.此外,对北京1992~2003年间城市生态系统健康状况的变化情况进行了具体分析,结果显示,北京城市生态系统健康状况随着时间的推移而不断改善.

关 键 词:集对分析  生态系统健康  评价方法  城市生态系统
文章编号:0253-2468(2006)12-2072-08
收稿时间:02 8 2006 12:00AM
修稿时间:10 25 2006 12:00AM

A kind of method and its application for urban ecosystem health assessment
SU Meirong,YANG Zhifeng,WANG Hongrui and YANG Xiaohua.A kind of method and its application for urban ecosystem health assessment[J].Acta Scientiae Circumstantiae,2006,26(12):2072-2079.
Authors:SU Meirong  YANG Zhifeng  WANG Hongrui and YANG Xiaohua
Affiliation:1. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875 ;2. School of Water Research, Beijing Normal University, Beijing 100875
Abstract:Set Pair Analysis Method(SPAM) was employed to assess the health of urban ecosystems. This assessment method led to dialectic and actual results because it objectively treats and systematically estimates the uncertainty of urban system. Multiple health indexes of urban ecosystems can be combined to form a relative-close-degree of urban ecosystem health to the optimal evaluation set, through SPAM. The urban ecosystem health of Beijing, Dalian, Shanghai, Wuhan, Xiamen and Guangzhou from 1995 to 2003 were evaluated by using SPAM. It can be concluded that the urban ecosystem health of Xiamen and Guangzhou city was the best, while the order of the rest cities' ecosystem health often changed with time. Moreover, the change of Beijing's urban ecosystem health from 1992 to 2003 was analyzed. It showed that Beijing urban ecosystem health had increased in the period.
Keywords:set pair analysis  ecosystem health  assessment method  urban ecosystem
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