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KMID : 1024520160250030361
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Journal of the Environmental Sciences
2016 Volume.25 No. 3 p.361 ~ p.371
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Characteristics of Trend and Pattern for Water Quality Monitoring Networks Data using Seasonal-kendall, SOM and RDA on the Mulgeum in the Nakdong River
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Ahn Jung-Min
Lee In-Jung
Jung Kang-Young
Kim Ju-eon
Lee Kwon-chul
Cheon Se-Uk
Lyu Si-wan
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Abstract
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Ministry of Environment has been operating water quality monitoring network in order to obtain the basic data for the water environment policies and comprehensively understand the water quality status of public water bodies such as rivers and lakes. The observed water quality data is very important to analyze by applying statistical methods because there are seasonal fluctuations. Typically, monthly water quality data has to analyze that the transition comprise a periodicity since the change has the periodicity according to the change of seasons. In this study, trends, SOM and RDA analysis were performed at the Mulgeum station using water quality data for temperature, BOD, COD, pH, SS, T-N, T-P, Chl-a and Colon-bacterium observed from 1989 to 2013 in the Nakdong River. As a result of trends, SOM and RDA, the Mulgeum station was found that the water quality is improved, but caution is required in order to ensure safe water supply because concentrations in water quality were higher in the early spring(1~3 month) the most.
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KEYWORD
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Time-series, Seasonal-kendall test, Self-organizing maps, Redundancy analysis
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