基于多元统计分析的第四水库水质特征评价

H. Seo, In-sook Kang, K. Son, Yang Eun, Won-Sam Jeong, Seong-Jun Kim
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引用次数: 1

摘要

本研究采用多元统计分析方法,对四水库近10年的水质变化趋势进行了分析。水质变量间的相关分析表明,COD与有机质间接指标TOC的相关系数为0.608,呈高度相关;水温与pH呈正相关,为0.515,与DO呈负相关,为-0.716。主成分分析和因子分析表明,4个主成分均提取自总水质,贡献总方差的72.9%。当分析蓝藻发生时,提取了三个主要成分,贡献了67.2%的总方差。对水质变量进行因子负荷分析,确定COD和TOC为首要因子。发现第四水库的水质除了受到浮游植物增殖和营养物流入的影响外,还受到降雨和有机质等季节性影响的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Water Quality Characteristics Using Multivariate Statistical Analysis in the Fourth Reservoir
In this study, multivariate statistical analysis was applied to analyze the trend of water quality and water quality in the Fourth reservoir over the last 10 years. Correlation analysis between water quality variables showed that, the correlation coefficient between COD and TOC, which is an indirect indicator of organic matter, showed a high correlation of 0.608, while water temperature showed a positive correlation with pH of 0.515 and a negative correlation with DO of -0.716. Principal component and factor analyses showed that the four major components were extracted from the total water quality and contributed 72.9% of the total variance. When analyzed for cyanobacteria occurrence, three major components were extracted and contributed 67.2% of the total variance. Factor loadings analysis of water quality variables on the factors identified the first factors as COD and TOC. Water quality of the Fourth reservoir was found to be influenced by seasonal effects such as rainfall and organic matter, in addition to the effects of phytoplankton proliferation and nutrient influx.
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