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苏家屯地区地下水源地水质调查与聚类分析

Investigation and cluster analysis of groundwater quality in Sujiatun area
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摘要 本文通过实际调查取样测定分析了苏家屯地区20个饮用水水质点相关水质参数,在此基础上运用营养状态指数法(Trophic State Index)对区域水质季候特征进行综合评定。并采用主成分分析法解析水质影响因素,通过自组织神经网络(Self-Orhainzing Map SOM)对各水体质量进行聚类。结果表明该区域水质季节性差异显著(P<0.05),其优劣程度综合排序为秋、春、冬、夏,但均符合安全饮用标准。区域水质受pH值、TN、TP等理化性质影响较大,是水质安全的控制因素。SOM聚类分析表明,区域水质点综合质量存在差异。 In this paper,the relevant water quality parameters of 20 drinking water quality points in Sujiatun area are analyzed through actual investigation,sampling and determination.On this basis,the seasonal characteristics of regional water quality are comprehensively evaluated by Trophic State Index.Principal component analysis was used to analyze the influencing factors of water quality,and self-organizing neural network(Self-Orhainzing Map SOM)was used to cluster the water quality.The results showed that the seasonal difference of water quality in this region was significant(P<0.05),and the degree of water quality in four seasons as follow autumn,spring,winter and summer.However,the water quality were all met the safety drinking standards.Regional water quality is greatly affected by physical and chemical properties such as pH,TN and TP,which are the controlling factors for water quality safety.SOM cluster analysis shows that there are differences in the comprehensive quality of regional water quality points.
作者 侯纪荣 葛鹏 金碧 HOU Jirong;GE Peng;JIN Bi(Shenyang Sujiatun Water Bureau, Shenyang 110101, China;Panjin Hezha Management Office, Panjin 124000, China)
出处 《水资源开发与管理》 2020年第4期56-60,共5页 Water Resources Development and Management
关键词 饮用水水质 苏家屯 聚类分析 自组织神经网络 drinking water quality Sujiatun duster analysis Self-Orhainzing Map
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