聚类-因子分析在黄河水污染综合评价中的应用

Application of factor analysis and cluster analysis to water quality comprehensive evaluation on the Yellow River

以黄河流域12个监测站点2015年全年52个周的监测数据为依据,运用因子分析和聚类分析相结合的复合模型,对黄河的水质问题进行综合评价,结果表明:在选取的4个指标中,COD和NH3-N是影响黄河水质污染的主要因子,DO和p H对水质的影响相对较小;黄河流域的12个监测断面可以划分为6大类,代表6种不同特征的水质,其中山西运城河津大桥水质最差,山东济南泺口水质情况最好.结果分析表明,复合模型具有一定的可靠性和实用性,可为环境治理和保护提供一定的参考.

Based on the monitoring data of 52 weeks about the Yellow River basin of 12 surveillance sites in 2015, by the methods of factor analysis and cluster analysis,we combinated the composite model to evaluate the water quality of the Yellow River. The results show that： in the selection of the four indicators, COD and NH3-N is the main factor affecting the water quality pollution of the Yellow River, the DO and the influence of pH of water quality is relatively small;The 12 monitoring section of the Yellow River basin can be divided into six categories, on behalf of the six different characteristics of water quality, including Shanxi Yuncheng Hejin bridge water quality is the worst, Shandong Jinan Luokou water quality is the best. Results show that the composite model has certain reliability and practicability, can provide certain reference value for the environmental management and protection.