基于GIS的乌梁素海水体富营养化状况的模糊模式识别

利用基于MATLAB 7.0实现的模糊模式识别交叉迭代模型对2006年5—10月分布于乌梁素海各水体功能区的21个水质监测点的富营养化等级进行了模糊模式识别，并在GIS技术支持下，用Arcview的空间分析功能绘制富营养化等级识别结果、对富营养化状态影响权重最大的评价指标总氮(TN)含量和富营养化状态控制元素总磷(TP)含量对应的富营养化等级水体和地表水质等级水体的空间分布月变化Grid专题图.将富营养化状态变化及其分布区域与乌梁素海同期水质监测指标浓度变化及其分布区域进行对比分析及验证.结果表明，富营养化等级识别结果的时空分布与实际情况相符，能够比较准确地反映富营养化等级定量的时空变化趋势. 

Fuzzy Pattern Recognition to Water Trophic Grade in Wuliangsuhai Lake Base on GIS

A cross iteration fuzzy recognition model was established and realized by MATLAB 7.0, and used to recognize trophic state grades from May 2006 to October 2006 of 21 water quality monitoring stations distributed ,in Wuliangsuhai Lake, which located in arid area of Inner Mongolia, China. Based on GIS and applying spatial analysis functions of Arcview, monthly change Grid themes were established about the recognition results of trophic states grades, Total-N concentration which has the maximum influence weight of trophic state and Total-P concentration which is the key element of trophic state in Wuliangsuhai Lake. Comparative analysis and validation were performed for the change and distribution area of trophic state and those of water quality monitoring indicators in Wuliangsuhai Lake at the same time. It can be concluded that the recognition results correspond with the practical situation, and can well reflect change of the trophic state grade in spatialtemporal distribution.