| 基于GIS的乌梁素海水体富营养化状况的模糊模式识别 |
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| 引用本文： | 任春涛,李畅游,全占军,曹有玲,孙 标,刘 刚. 基于GIS的乌梁素海水体富营养化状况的模糊模式识别[J]. 环境科学研究, 2007, 20(3): 68-74 |
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| 作者姓名： | 任春涛 李畅游 全占军 曹有玲 孙 标 刘 刚 |
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| 作者单位： | 内蒙古农业大学,水利与土木建筑工程学院,内蒙古,呼和浩特,010018;中国环境科学研究院,环境安全研究中心,环境污染与健康研究室,北京,100012;内蒙古自治区水利水电勘测设计院,内蒙古,呼和浩特,010020 |
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| 基金项目： | 国家自然科学基金 , 内蒙古自然科学基金 , 内蒙古科技攻关计划项目 |
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| 摘 要： | 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.
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| 关 键 词： | 模糊模式识别交叉迭代模型 富营养化状态识别 乌梁素海 GIS |
| 文章编号： | 1001-6929（2007）03-0068-07 |
| 修稿时间： | 2006-12-05 |
Fuzzy Pattern Recognition to Water Trophic Grade in Wuliangsuhai Lake Base on GIS |
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| REN Chun-tao,LI Chang-you,QUAN Zhan-jun,CAO You-ling,SUN Biao and LIU Gang. Fuzzy Pattern Recognition to Water Trophic Grade in Wuliangsuhai Lake Base on GIS[J]. Research of Environmental Sciences, 2007, 20(3): 68-74 |
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| Authors: | REN Chun-tao LI Chang-you QUAN Zhan-jun CAO You-ling SUN Biao LIU Gang |
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| Affiliation: | 1.Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Huhhot 010018, China2.Environmental Safety Research Center, Division of Environmental Health Sciences, Chinese Research Academy of Environmental Sciences, Beijing 100012, China3.Inner Mongolia Survey & Design Institute of Water Conservancy & Hydropower, Huhhot 010020, China |
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| Abstract: | 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. |
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| Keywords: | cross iteration fuzzy pattern recognition model trophic state recognition Wuliangsuhai Lake GIS |
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