基于向量相似度原理的湖泊富营养化评价方法及其验证  

Improved assessment method for lake-water eutrophication based on the vector similarity principle and its verification

作　　者：谢平[1] 肖婵[1] 雷红富[1] 唐涛 

机构地区：[1]武汉大学水资源与水电工程科学国家重点实验室,武汉430072 [2]湖北省水文水资源局,武汉430071

出　　处：《安全与环境学报》2008年第4期93-96,共4页Journal of Safety and Environment

基　　金：国家自然科学基金项目(50579052)

摘　　要：为准确评价湖泊所处的营养状态,提出了基于向量相似度原理的湖泊富营养化评价方法。将富营养化的各级评价标准视为1个特征向量并进行无量纲化处理,然后计算各级特征向量与实测水质指标向量的相似度,归一化后得出各级评价标准对实测水质指标的权重,加权平均即可得出实测水质指标的富营养化综合评价级别。经全国30个湖库湖泊实测水质资料验证,向量相似度方法与随机评价方法、模糊评价方法、灰色评价方法相比较,有27个湖泊评价结果的差异不大于1个级别,其比例为90%。这说明4种方法的计算精度相当。This paper aims to introduce an improved assessment method for lake-water eutrophication based on the vector similarity principle and its verification proposed by the present authors. By using the given method, we have made it possible to choose Chl-a, TN, TP, COD and SD as water quality indices known as a vector. In our research, eutrophication standard can be divided into 6 grades according to the eutrophication assessment criteria for Chinese lakes. While testing the similarity between the vector consisting of indicators of each level in the eutrophication assessment criteria and that consisting of a set of water quality measuring indicators, we can find the weight of each grade contribution to the water quality to be measured. And in turn it would be made possible to derive the assessment order of the lake-water eutrophication from the average weight. Thus, it can be seen that the method suggested here is of great objectivity as the present method helps to calculate the weight of the contribution to the water quality with no artificial role implied. Having all the mea- sured and compared water quality data of 30 lakes all over the country, we have found out that, in comparison with the other stochastic assessment methods, such as the fuzzy assessment method, the gray assessment method, the difference of the assessment orders of 28 lakes has been found no more than one grade and the ratio is as high as up to 93 % . Thus, it can be concluded that the four methods are all effective with relative by high assessment precision, which has been gained in spite of a lot of uncertainty either in determining the number or in the type of water quality indicators in determining the assessment order and the corresponding standard water quality concentrations. Therefore, the method proposed here should be adopted along with the other various approaches so as to improve the eutrophi- cation assessment system.

关 键 词：环境工程 湖泊富营养化 向量相似度 随机评价方法 模糊评价方法 灰色评价方法 

分 类 号：X824[环境科学与工程—环境工程]