熵权属性识别模型在水质动态评价中的应用  

Attribute recognition model based on coefficient of entropy and its application to the water quality dynamic evaluation

作　　者：段晓峰[1] 孙宝年[2] 李加军[2] 许学工[1] 杨树元[2] 谢正磊[1] 

机构地区：[1]北京大学城市与环境学院地表过程分析与模拟教育部重点实验室,北京100871 [2]天津市大港区环境保护局,天津300270

出　　处：《安全与环境学报》2010年第2期109-112,共4页Journal of Safety and Environment

基　　金：国家自然科学基金重点项目(40830746);面上项目(40671001)

摘　　要：为克服水质综合评价中指标权重的确定带有主观件的缺点,采用信息熵理论确定熵权系数,应用属性识别法对天津市大港区7个河流断面的水质动态变化进行了综合评价。评价结果表明,研究区内7个河流断面的污染程度均较严重。研究表明,属性识别法在水质评价中不仅能反映综合等级,还能通过综合评分识别同一等级内水质的差异,可为区域水环境的综合分析和治理方案的制订提供基础。The paper wishes to introduce its author＇s study on the attribute recognition model based on coefficient of entropy and its application to the water quality dynamic evaluation. As we know, the dynamic variation of water quality can reflect the changes of main environmental indexes and the water quality of a river section or a pond or a lake during a certain period of time, which is of great significance in urban and regional water environment protection and the planning of controlling measures. In order to overcome the weakness or defects of subjectivity in determining weight coefficient of water comprehensive evaluation method, it is of great significance to learn the said recognition model so as to be able to evaluate the water quality dynamics of the 7 river sections in Dagang District under the municipality of Tianjin. However, the weight coefficient should be determined by the entropy method, whose external evaluation of the effective in- formation shall be provided by all the sample data. Therefore, it should not only provide comprehensive grades, but also reflect the differences of the water in quality of the same water grade by calculating the quality value. The results of our investigation show that the 7 river sections, the main sewage drainage rivers of Dagang district, are highly contaminated; comprehensive water quality grade of the 7 river sections is grade V during the most monitoring periods.

关 键 词：环境学 水质综合评价 属性识别模型 熵权 大港区 

分 类 号：X824[环境科学与工程—环境工程]