改进的灰色聚类方法及其在水环境质量评价中的应用

根据在水环境质量评价中重点需要清晰划分灰类和合理确定聚类权重的要求，本文采用极差化对水质监测数据进行归一化处理，并使用阈值倒数法确定聚类权重，用这两种处理来改进了灰色聚类方法。同时，利用改进的了灰色聚类方法，并结合拉萨市中干渠水环境质量监测数据进行实算应用，通过比较分别采用改进的灰色聚类方法、常规的灰色聚类方法和现行水环境质量评价最不利评价原则方法得到的评价结果，表明改进的灰色聚类方法更符合水环境质量类别的实际情况，且对于评价水环境整体质量更加客观、可靠。

The Improved Grey Clustering Method and Its Application to the Water Environmental Quality Assessment

According to the requires to divide grey classes clearly and determine the clustering weights reasonably of water environmental quality assessment, by the two ways of using the most difference method to process data normalization, and the reciprocal of threshold method to determine the clustering rights, the grey clustering method was improved. For an instance, combining with the measured water quality monitoring data of the middle channel in Lhasa, the assessment results of the improved grey clustering method, the conventional grey clustering method and the most unfavorable principles method of the current water environment quality evaluation were compared; it was found that the improved grey clustering method was more according with the actual situation of water environment quality category, also more objective in evaluation of water environment quality.