基于主成分分析法的福建某滨海场地地下水水质评价  

Evaluation on groundwater quality of a seashore field in Fujian Province based on principal component analysis

作　　者：郭新强[1,2] GUO Xin-qiang(The 197 Geological Prospecting Team of Fujian Province,Quanzhou,Fujian,362011,China;School of College of Continuing Education,Yangtze University,Jingzhou 434023,China)

机构地区：[1]福建省197地质大队,福建泉州362011 [2]长江大学继续教育学院,湖北荆州434023

出　　处：《地下水》2022年第6期17-19,共3页Ground water

基　　金：福建省广义地质项目:“福建省地下水环境状况调查与评价”(闽财指[2013]1068号)。

摘　　要：以福建某滨海场地9个水质监测点为研究对象,选取溶解性总固体、硫酸盐、氯化物、高锰酸盐指数、硝酸盐、亚硝酸盐、氨氮等7个水质指标,采用主成分分析法评价该场地地下水水质,结果表明:主成分分析法将7个水质指标归纳为3个主成分,累积方差贡献率为93.648%,包含了原始数据的大多数信息;通过确定综合水质评价函数计算得到各个采样点水质综合得分,对水质进行综合评价,将水质由优至劣排序;主成分分析法是一种较好的综合评价地下水水质的统计分析方法。Taking nine water quality monitoring points of a seashore field in Fujian province as the research object. The ground water quality of the site was evaluated by principal component analysis(PCA) with seven water quality indicators, including total dissolved solids, sulfate, chloride, permanganate index, nitrate, nitrite and ammonia nitrogen. The results show that 7 water quality indexes are classified into 3 principal components by principal component analysis(PCA), and the cumulative variance contribution rate is 93.648%, which contains most of the information of the original data. By determining the comprehensive water quality evaluation function, the comprehensive score of water quality at each sampling point is calculated, and the water quality is comprehensively evaluated, and the water quality is sorted from good to bad.Principal component analysis is a good statistical analysis method for comprehensive evaluation of groundwater quality.

关 键 词：主成分分析 地下水 水质评价 

分 类 号：P641.8[天文地球—地质矿产勘探] X824[天文地球—地质学]