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河南省水生态文明建设试点城市生态系统健康评价
作者姓名:宋梦林  左其亭  赵钟楠  邱 冰
作者单位:1. 郑州大学 水利与环境学院, 郑州 450001; 2. 郑州大学 水科学研究中心, 郑州 450001; 3. 水利部 水利水电规划设计总院, 北京 100120
基金项目:2014 年水 利部重大课题 ( 201421) ; 河南省科 技攻关计 划项目 ( 132102310528) ; 河 南省高校 科技创新团 队支持计 划 ( 13IRT ST HN030)
摘    要:在总结城市生态系统的属性并分析其健康内涵的基础上, 通过频度统计法, 建立评价指标体系。采用海明贴 近度, 建立模糊物元模型, 对河南省第一批水生态文明城市建设试点郑州、 洛阳、 许昌 2000 年- 2013 年间城市生态 系统的健康水平进行评价, 分析影响城市生态系统健康发展的各要素, 结果表明: 郑州、 洛阳和许昌整体的城市生态 系统健康水平呈上升趋势, 但健康改善程度并不显著, 且部分指标有恶化趋势; 相同时期内, 城市生态系统的健康水 平排序由高到低依次为郑州、 洛阳、 许昌, 但其增长速率则为许昌最快、 郑州最慢; 各城市不同要素之间的健康程度 差别较大, 且不同城市各要素之间的协调性较低。因此, 未来应针对健康程度较差的要素重点发展, 提高各要素之 间的协调性, 进一步提高城市生态系统整体的健康水平。

关 键 词:城市生态系统健康    模糊物元    海明贴近度    熵权    水生态文明建设

Assessment of urban ecosystem health in experimental units of water cco 2civilization construction in Henan
Authors:SONG Menglin  ZU O Qi ting  ZHAO Zhongnan  QIU Bing
Affiliation:1. School of Water Conservancy & Environment, Zhengzhou University, Zhengzhou 450001, China; 2. Center f or Water Science Research, Zhengz hou University , Zhengz hou 450001, China; 3. General Institute of Water Resources and H ydrop ower Planning and Design, Ministry of Water Resources, Beij ing 100120, China
Abstract:On the basis of summarizing the attributes of urban ecosystem and analyzing its content of health, an evaluation indica 2 tor system was established using the frequency statistics. A fuzzy matter model was then developed using the Hamming ap2 proach degree to estimate the urban ecosystem health in Zhengzhou, Luoyang, and Xuchang (the first batch of the experimental units of water eco 2civilization construction in Henan Province) from 2000 to 2013 and analyze the impact factors of urban eco2 system health. The results showed that (1) the level of urban ecosystem health in Zhengzhou, Luoyang, and Xuchang is impro2 ving slightly, but some indexes tend towards worse; (2) the level of urban ecosystem health from high to low is Zhengzhou, Luoyang, and Xuchang, but the improving rate in Xuchang is the highest while the lowest in Zhengzhou; and ( 3) the health de 2 gree differs in different cities and the harmony between each index is low. Consequently, we should focus on the development of indexes with low health degree, improve the harmony between each index, and increase the health level of urban ecosystem.
Keywords:urban ecosystem health  fuzzy matter  Hamming approach degree  entropy method  water eco 2civilization construction
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