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基于属性识别模型的巢湖流域生态安全评价

吴开亚1;张礼兵2;金菊良2;孙世群3   

  1. 1厦门大学经济学院, 福建厦门 361005;2合肥工业大学土木建筑工程学院, 合肥 230009;3合肥工业大学资源与环境工程学院, 合肥 230009
  • 收稿日期:2006-09-01 修回日期:1900-01-01 出版日期:2007-05-08 发布日期:2007-05-08

Ecological security evaluation of Chaohu Lake basin based on attribute recognition model.

WU Kai-ya1; ZHANG Li-bing2; JIN Ju-liang2; SUN Shi-qun3   

  1. 1School of Economics, Xiamen University, Xiamen 361005, Fujian, China;2College of Civil Engineering, Hefei University of Technology, Hefei 230009, China;3College of Natural Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China
  • Received:2006-09-01 Revised:1900-01-01 Online:2007-05-08 Published:2007-05-08

摘要: 为建立有效的流域生态安全评价模型,采用AHP赋权方法与属性识别模型相耦合的途径,以巢湖流域生态安全为研究对象,对基于属性识别模型的巢湖流域及其次级评价单元的生态安全评价问题进行了研究。结果表明:巢湖流域9区(县)及流域整体生态安全状况从优到劣的排序结果依次为合肥、流域整体、居巢、无为、和县、含山、舒城、庐江、肥东和肥西;合肥和肥西的生态安全状况分别为Ⅳ级和Ⅰ级,其它评价单元均处于Ⅱ级。基于属性识别模型的流域生态安全评价方法涵义明确、计算过程简单,能同时实现生态安全等级的分类和排序,在其它生态系统综合评价中具有一定的应用价值。

关键词: 量化指标, 土壤有机质, 溶性有机质, 碳同位素丰度, 氨基糖, 土壤, 碳库管理指数

Abstract: By using AHP weight method and attribute recognition model, a comprehensive ecological security evaluation of Chaohu Lake basin and its secondary appraisal units was made, aimed to build an efficient model for basin ecological security evaluation. The results indicated that the ecological security level of Chaohu Lake basin declined in the sequence of Hefei, the basin as a whole, Juchao, Wuwei, Hexian, Hanshan, Shucheng, Lujiang, Feidong, and Feixi. Among them, Hefei and Feixi were in grades Ⅳ and Ⅰ, respectively, and other districts all fell into grade Ⅱ. Because of its explicit meanings and simple computational process, this model could sort and rank the test objects according to their ecological security level, and be applied to the comprehensive evaluation of other ecological systems.

Key words: Quantificational index, SOM, DOC, δ13C, CPMI