| 湖泊富营养化评价方法的探讨 |
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| 引用本文： | 段焕丰,俞国平,俞海宁.湖泊富营养化评价方法的探讨[J].苏州科技学院学报(工程技术版),2005,18(2):53-57. |
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| 作者姓名： | 段焕丰 俞国平 俞海宁 |
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| 作者单位： | 同济大学,环境科学与工程学院,上海,200092 |
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| 摘 要： | 针对常用的湖泊富营养化评价方法的不足，结合现有的评价模型，提出了一种改进的混合评价方法——遗传优选模糊模式识别评价方法，并选取了10个湖库的chl-a、TP、TN、COD、SD作为评价指标进行水体的富营养化程度评价，结果表明，与原有的评价模型相比，新的评价方法得到的评价结果误差较小，能够对水环境污染作出科学的符合实际的评价。
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| 关 键 词： | 富营养化 环境评价 评价指标 遗传优选 模糊模式识别 |
| 文章编号： | 1672-0679(2005)02-0053-05 |
| 修稿时间： | 2005年4月28日 |
Discussion about Methods of Assessment for Water Entrophication |
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| DUAN Huan-feng,YU Guo-ping,YU Hai-ning.Discussion about Methods of Assessment for Water Entrophication[J].Journal of University of Science and Technology of Suzhou：Engineering and Technology,2005,18(2):53-57. |
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| Authors: | DUAN Huan-feng YU Guo-ping YU Hai-ning |
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| Abstract: | An improved hybrid method-genetic optimum selection for fuzzy pattern recognition model, which is combined with existing assessment models, was put forward duo to the disadvantages of current methods of assessment for water entrophication. And some main assessment indexes in ten domestic lakes, such as chl-a, TP, COD, and SD, were selected for water entrophication assessment. From the results of simulated example, this method could bring less errors compared with others, and also could further give us a scientific assessment for water environmental pollution in the future. |
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| Keywords: | entrophication environmental assessment assessment index genetic optimum selection fuzzy pattern recognition |
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