基于实例的模糊聚类法在地面水环境评价中的应用

Application of Fuzzy Clustering Method on Evaluation of Surface Water Environmental Quality

介绍了模糊聚类法 ,并运用此方法对福建漳州地面水环境水质指标和水质监测断面分别进行了评价和聚类分析。在 2 4个水质评价指标中污染最严重的是氨氮 ,其次是石油类。在 14个监测断面中 ,受污染最严重的断面位于九龙江经漳州市区的下游方向 ,此断面中 ,氨氮的污染指数达到 4 .4 5 ,污染严重超标。聚类分析结果与实际污染情况相吻合 ,能客观地反映多因子共同作用下的地面水环境质量状况 ,这为制定水环境宏观决策提供了必要的科学依据。

The paper introduces the fuzzy clustering method which has been applied to the evaluation and analysis of the parameters of surface water quality and the river cross sections in Zhangzhou City, Fujian Province. The result shows the main pollution elements are NH 4-N and petroleum in 24 parameters, and the main pollution cross section, with the pollution index of NH 4-N being 4.45,much higher than the normal standard, lies in the downstream of Jiulong River which goes through Zhangzhou City. The analytical result is consistent with the facts, reflects the quality of the surface water environment in an objective way and thus provides information necessary for the scientific decision-making for the water environment.