Statistical analysis of water quality change by total maximum daily load policy stage

IF 5.7 3区 环境科学与生态学 Q1 WATER RESOURCES
Chang Dae Jo, Seon Yeon Choi, Heon Gak Kwon
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Abstract

This study aimed to derive major pollutants for standard watersheds with relatively high pollution levels and identify their trends. Hence, the water quality index (WQI) and multivariate statistical techniques were used to analyze the water quality evaluation of standard watershed during the total maximum daily load (TMDL) policy period implemented since 2004. The WQI was calculated for 41 standard watersheds, divided into 14 main streams and 27 tributaries. Consequently, in the main stream, WQI decreased as it moved downstream after the MS5 site. In the tributary, WQI values were found to be low at TS11, TS15, TS16, and TS17 sites. However, the Mann–Kendall test results indicated that the overall WQI value was increasing, suggesting that the water quality of the study basin was improving as the TMDL policy phase progressed. Principal component analysis of the group with relatively low WQI among the standard watersheds revealed that water temperature, dissolved oxygen, total phosphorus, chemical oxygen demand, biochemical oxygen demand, and electrical conductivity were the main variables in the main stream cluster. In the tributary stream cluster, total phosphorus, dissolved oxygen, total suspended solids, total nitrogen, and electrical conductivity showed high loading values. This study proposed a series of methods to provide the basic data required for watershed management through detailed water quality assessment methods, statistical techniques for deriving major pollutants, and trend analysis of water quality evaluation.

Abstract Image

按最大日负荷总量政策阶段划分的水质变化统计分析
本研究旨在得出污染程度相对较高的标准流域的主要污染物,并确定其变化趋势。因此,采用水质指数(WQI)和多元统计技术来分析自 2004 年起实施的最大日负荷总量(TMDL)政策期间标准流域的水质评价。计算了 41 个标准流域的水质指数,其中分为 14 条干流和 27 条支流。因此,在干流中,水质指数随着 MS5 遗址后向下游移动而下降。在支流中,TS11、TS15、TS16 和 TS17 处的水质指数值较低。不过,Mann-Kendall 检验结果表明,总体 WQI 值在上升,表明随着 TMDL 政策阶段的推进,研究流域的水质正在改善。对标准流域中 WQI 值相对较低的组别进行主成分分析后发现,水温、溶解氧、总磷、化学需氧量、生化需氧量和电导率是干流组别的主要变量。在支流集群中,总磷、溶解氧、总悬浮物、总氮和电导率显示出较高的负荷值。本研究提出了一系列方法,通过详细的水质评估方法、得出主要污染物的统计技术和水质评价趋势分析,提供流域管理所需的基础数据。
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来源期刊
Applied Water Science
Applied Water Science WATER RESOURCES-
CiteScore
9.90
自引率
3.60%
发文量
268
审稿时长
13 weeks
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