摘要
Abstract
Based on Principal component analysis (PCA),the main components can be extracted from many factors,and guarantee minimum loss of original data information,using SPSS software to simplify the data structure,replace the original multiple variables with a few comprehensive variables.The water environment quality of main rivers of Gaozhou Reservoir catchment basin was evaluated,and the water quality of each monitoring section was ranked.The three principal components which account for 96.425％ of the total variance were extracted from the original data to reflect the whole situation of water quality in the studied area.The results showed that the overall water quality of the basin is poor,the pollution come from inflow tributaries,mainly organic nonpoint source caused by agriculture and life.The reservoir has certain degree of eutrophication,and due to the hydrodynamic conditions in the reservoir,the water quality in the reservoir is better than that of inflow rivers.In the spatial distribution,because of the middle section of Shigu reservoir was less influenced by exogenous pollution,the water quality in the middle of the reservoir is better than that of the water inlet.Among the inflow rivers,the water pollution inLiangde Reservoir Huangtang river pond water inlet section is light,followed by Shigu Reservoir Caojiang river inlet section,and water quality of Liangde Reservoir Dajing river inlet is worst.Furthermore,through comprehensive classification evaluation of river basin water environment quality,get the conclusion that inflow river was the main pollution source of Gaozhou reservoir.关键词
主成分分析法/水质评价/高州水库Key words
Main component analysis/water quality evaluation/Gaozhou reservoir分类
资源环境
