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| 模糊物元识别模型在巢湖水体富营养化评价中的应用研究 | |
| 引用本文： | 陈林,许其功,李铁松,席北斗,叶小华,于会彬.模糊物元识别模型在巢湖水体富营养化评价中的应用研究[J].环境工程学报,2010,4(4):729-736. |
| 作者姓名： | 陈林 许其功 李铁松 席北斗 叶小华 于会彬 |
| 作者单位： | 1. 西华师范大学国土资源学院,南充,637002 2. 中国环境科学研究院,北京,100012 3. 北京师范大学环境学院,北京,100875 |
| 基金项目： | 国家重点基础研究发展规划（973）项目（2008CB418006）；国家水体污染控制与治理科技重大专项（2009ZX07106-001） |
| 摘 要： | 选取TN、TP、Chl-a、COD、BOD5、DO和SD等7项指标,应用模糊物元识别模型对2000~2007年巢湖的12个水质监测点的富营养化等级进行了模糊识别。通过与巢湖同期水质浓度变化及其分布区域进行对比分析,验证了模糊物元识别模型在巢湖水体富营养化评价中的适用性。巢湖富营养化评价结果表明,2000~2007年富营养化呈逐年加重的趋势,据采样点模糊物元计算结果得知西巢湖(1#~6#)的富营养化状况比东巢湖(7#~12#)更严重,西巢湖贴近度最高值为0.9974,接近极富营养状态,而东巢湖的最高值仅为0.5866。从年际变化上看,2000~2007年东巢湖富营养化状况变化不大,营养状态级处在较低的水平,而西巢湖的富营养状况变化则较大,营养状态级则处在较高水平。 |
| 关 键 词： | 模糊物元 富营养化 隶属函数 权重 |
| 收稿时间： | 4/3/2009 12:00:00 AM |
Fuzzy pattern recognition model to water trophic grade in Chaohu Lake |
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| Chen Lin,Xu Qigong,Li Tiesong,Xi Beidou,Ye Xiaohua and Yu Huibin.Fuzzy pattern recognition model to water trophic grade in Chaohu Lake[J].Techniques and Equipment for Environmental Pollution Control,2010,4(4):729-736. | |
| Authors: | Chen Lin Xu Qigong Li Tiesong Xi Beidou Ye Xiaohua and Yu Huibin |
| Institution: | Land and Resources College, Chinawest Normal University, Nanchong 637002,China,Chinese Research Academy of Environmental Sciences, Beijing 100012,China,Land and Resources College, Chinawest Normal University, Nanchong 637002,China,Chinese Research Academy of Environmental Sciences, Beijing 100012,China,Land and Resources College, Chinawest Normal University, Nanchong 637002,China and School of Environment, Beijing Normal University, Beijing 100875,China |
| Abstract: | The research selected total phosphorus, total nitrogen, chlorophyll a,COD, BOD_5 ,DO and transparence as evaluation index. A fuzzy matter element model was used to recognize trophic state grades of 12 water quality monitoring stations distributed in Chaohu Lake from 2000 to 2007. Comparative analysis and validation were performed for the change and distribution area of trophic state and those of water quality monitoring indicators in Chaohu Lake at the same time. It could be concluded that recognition results correspond with the practical situation, and could well reflect change of the trophie state grade in spatial-temporal distribution. According to eutrophication evaluation results of Chaohu Lake, the eutrophication trend increased from 2000 to 2007. The fuzzy matter element calculation results showed that the eutrophication in west Chaohu Lake(1~#～6~#) was more serious than that of the east Chaohu Lake (7~#～12~#). The highest nearness degree of west Chaohu Lake was 0.9974,it was very near the nutritional status, but the highest nearness degree of east Chaohu Lake was 0. 5866.The eutrophication situation of east Chaohu Lake changed little from 2000 to 2007, but the west Chaohu Lake was opposition. |
| Keywords: | fuzzy matter-element model eutrophication membership function weight |
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