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The Sensitivity of Water Environmental Factors on Eutrophication Based on Rough Set Theory and the Ecological Countermeasures Revelation

机译:基于粗糙集理论的水环境因素对富营养化的敏感性及生态对策启示

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The paper took advantage of approximate classification of imprecise or incomplete data to analyze and assess the sensitivity of environmental factors on eutrophication based on rough set theory. Its main advantage was it performed rationally on data attributes reduction and classification. This technique provided a valuable tool to analyze the key factors leading to eutrophication in Xiaoqing River estuary of Laizhou Bay in China. Results showed that the most important factors that dominated the eutrophic degree were aerobiotic organic compound, dissolved inorganic phosphate and nitrogen which came from the land-input of Xiaoqing River. Then the ecological measurement against eutrophication may be to cultivate a kind of ecological environment materials (e.g. seaweed) to absorb the excessive nutrition.
机译:本文利用了不精确或不完全数据的近似分类,以分析和评估基于粗糙集理论的环境因素对富营养化的敏感性。它的主要优势是它在数据属性减少和分类上进行了合理的。该技术提供了一个有价值的工具,可以分析在中国少清河河口少清河口富营养化的关键因素。结果表明,统治富营养度的最重要因素是有机性有机化合物,溶解的无机磷酸盐和少清河陆进入的磷酸盐和氮。然后对富营养化的生态测量可能是培养一种生态环境材料(例如海藻)以吸收过度的营养。

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