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基于主成分分析法的黄家水源地下水质量评价 被引量:1

Groundwater quality assessment based on principal component analysis for Huangjia water source in Shenyang
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摘要 根据沈阳市黄家水源地监测地下水的数据,采用主成分分析法进行水质评价。结果表明:该水源地附近井水的主要污染物为铁锰、氨氮;污染最为严重的井,其井水总铁、锰和氨氮分别为14. 55,1. 70和0. 52 mg/L,均严重超标。评价结果可为城市水生态安全保障提供参考。 Based on the monitoring data of groundwater of Huangjia water source in Shenyang City, the principal component analysis method was used to evaluate the groundwater quality. The results showed that the main contaminants of well water around Shenyang Huangjia water source were iron and manganese, and ammonia nitrogen. For the worst quality’s well, the total iron, manganese, and ammonia nitrogen were 14.55, 1.70, and 0.52 mg/L respectively, all seriously exceeded. The results of this evaluation could provide reference for the protection of the urban aqua-system.
作者 张晋 叶梦星 刘树鑫 Zhang Jin;Ye Mengxing;Liu Shuxin(School of Municipal and Environmental Engineering, Shenyang Jianzhu University, Shenyang 110168, China)
出处 《供水技术》 2018年第6期13-16,共4页 Water Technology
关键词 主成分分析法 地下水 质量评价 principal component analysis groundwater quality evaluation
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