| 基于GIS下的太湖水质富营养化模糊综合评价 |
| 摘要点击 2347 全文点击 2428 投稿时间：2004-11-24 修订日期：2005-02-24 |
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| 中文关键词 地理信息系统 地统计学 太湖 富营养化 评价 |
| 英文关键词 geographic information system geostatistics Taihu Lake eutrophication evaluation |
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| 中文摘要 |
| 在地理信息系统和地统计学的支持下,探讨了模糊数学与层次分析法相结合的方法在水体富营养化评价中的应用.以太湖为研究对象,选取总磷、总氮、叶绿素、化学需氧量、5日生化需氧量、溶解氧和透明度7项指标进行评价.在对研究区域采样数据进行地统计分析后估算出整个区域评价指标的值,在此基础上建立不同指标的隶属度函数,并计算其隶属度;同时根据层次分析法的原理,确定了各项评价指标的权重,最终得到研究区域的综合结果,绘制出富营养化评价图.结果表明:北部、西北部湖区营养水平最高,属重富营养;中部湖区营养程度为中富营养;东南部湖区营养水平最低,属中营养.
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| 英文摘要 |
| Supported by geographic information system and geostatistics, the application of fuzzy mathematics and analytic hierarchy process for water eutrophication evaluation was discussed. Taking Taihu Lake as an example, the research selected total phosphorus, total nitrogen, chlorophyll a, COD, BOD5, DO and transparence as evaluation index. After geostatistical analysis of the datum of monitoring site, the values of evaluation indices were estimated in the whole research area. Given that, the different dependence functions were developed for these indices and the function values were calculated. Furthermore, according to the principle of analytic hierarchy process, the weight of every index was calculated, then integrated evaluation value was obtained for the whole research area and the evaluation map for water eutrophication was drawn. The result shows that the level of nutrition is the highest in the north and north-west of lake, which is hypertrophic, that is meso-eutrophic in the middle and that is the lowest in the south-east of lake, which is mesotrophic.
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