| 湖库富营养化综合评价的属性识别模型 |
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| 引用本文： | 门宝辉,梁川,付强,刘庆华. 湖库富营养化综合评价的属性识别模型[J]. 四川大学学报(工程科学版), 2002, 34(6): 109-111 |
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| 作者姓名： | 门宝辉 梁川 付强 刘庆华 |
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| 作者单位： | 1. 四川大学,水电学院,四川,成都,610065
2. 东北农业大学,水利与建筑学院,黑龙江,哈尔滨,150030 |
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| 摘 要： | 应用属性识别模型对我国的于桥水库、巢湖、玄武湖富营养化进行评价，评价结果得出，于桥水库为中富营养级、巢湖为富营养级、玄武湖为重富营养级，这一评价结果与模糊综合评价模型的评价结果相一致，同时该方法简单，更适合于有标准的系统质量评价问题。
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| 关 键 词： | 湖库 富营养化 属性识别理论模型 模糊综合评价方法 水质评价 水体污染 |
| 文章编号： | 1009-3087(2002)06-0109-03 |
| 修稿时间： | 2001-12-12 |
Attribute Recognition Model to Evaluate on Lake(Reservoir)Eutrophication |
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| MEN Bao hui ,LIANG Chuan ,FU Qiang ,LIU Qing hua. Attribute Recognition Model to Evaluate on Lake(Reservoir)Eutrophication[J]. Journal of Sichuan University (Engineering Science Edition), 2002, 34(6): 109-111 |
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| Authors: | MEN Bao hui LIANG Chuan FU Qiang LIU Qing hua |
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| Affiliation: | MEN Bao hui 1,LIANG Chuan 1,FU Qiang 2,LIU Qing hua 2 |
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| Abstract: | The attribute recognition model is applied to assess the eutrophication situations of Yu Qiao reservoirs and Chao Lake and Xuan Wu Lake in China. The study shows that the eutrophication degree of Yu Qiao reservoir is middle eutrophication and that of Chao Lake is higher eutrophication and that of Xuan Wu Lake is even higher. The results are in agreement with that of the fuzzy comprehensive evaluation method, meanwhile, this method is easy and suit for standardized evaluation on system quality. |
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| Keywords: | lake(reservoir) eutrophication attribute recognition model fuzzy comprehensive evaluation method |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
