| 改进的多指标水质动态评价模型及应用 |
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| 引用本文： | 马惠群,刘凌,陈涛. 改进的多指标水质动态评价模型及应用[J]. 武汉大学学报(工学版), 2008, 41(5) |
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| 作者姓名： | 马惠群 刘凌 陈涛 |
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| 作者单位： | 河海大学水文水资源与水利工程科学国家重点实验室,江苏,南京,210098 |
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| 摘 要： | 水质评价多以静态评价为主,马尔可夫评价模型为动态评价模型,但无法对多指标水质进行评价.对马尔可夫模型进行改进,将多指标评价中的权重引入到马尔可夫模型中,将小权重的指标状态空间进行压缩,进而建立转移矩阵,求绝对进步度和相对进步度,从而将水质动态变化情况用明确的数值进行量化,得到多指标熵权马尔可夫水质动态评价模型.将此模型应用于济南市大明湖水质动态评价中,得到了比较符合实际的结果.
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| 关 键 词： | 熵权 马尔可夫 转移矩阵 相对进步度 |
Improved dynamic evaluation model of multifactorial water quality and its application |
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| MA HuiQun,LIU Ling,CHEN Tao. Improved dynamic evaluation model of multifactorial water quality and its application[J]. Engineering Journal of Wuhan University, 2008, 41(5) |
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| Authors: | MA HuiQun LIU Ling CHEN Tao |
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| Abstract: | Water quality evaluation is mainly static state evaluation.Markov evaluation model is a dynamic evaluation model,but it can't evaluate multifactorial water quality.The Markov model is improved by introducing multifactorial entropy weight into it and compressing the state space of little weight factor.This improved model calculates the absolute and comparative progresses by transmission matrix in order to compute water quality dynamic variation with numerical calculation.This model has been applied to water quality dynamic evaluation of Daming Lake in Jinan city;and a comparative good result has been obtained. |
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| Keywords: | entropy weight Markov transmission matrix comparative progress |
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