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KMID : 1024520180270111029
Journal of the Environmental Sciences
2018 Volume.27 No. 11 p.1029 ~ p.1048
A Nonparametric Long-Term Trend Analysis Using Water Quality Monitoring Data in Nam-River
Jung Kang-Young

Kim Myo-Jeong
Song Kwang-Duck
Seo Kwon-Ok
Hong Seong-Jo
Cho So-Hyun
Lee Yeong-Jae
Kim Kyung-Hyun
Abstract
In this study, seasonal Mann - Kendall test method was applied to 12 stations of the water quality measurement network of Nam-River based on data of BOD, COD, TN and TP for 11 years from January 2005 to December 2015 The changes of water quality at each station were examined through linear trends and the tendency of water quality change during the study period was analyzed by applying the locally weighted scatter plot smoother (LOWESS) method. In addition, spatial trends of the whole Nam-River were examined by items. The flow-adjusted seasonal Kendall test was performed to remove the flow at the water quality measurement station. As a result, BOD, COD concentration showed ¡°no trand¡± and TN and TP concentration showed ¡°down trand¡± in regional Kendall test throughout the study period. BOD and TP concentration in ¡°no trand¡±, COD, and TN concentration showed an ¡°up trand¡± tendency in Nam-River dam. LOWESS analysis showed no significant water quality change in most of the analysis items and stations, but water quality fluctuation characteristics were shown at some stations such as NR1 (Kyungho-River 1), NR2 (Kyungho-River 2), NR3 (Nam-River), NR6 (Nam-River 2A). In addition, the flow-adjusted seasonal Kendall results showed that the BOD concentration was ¡°up trand¡± due to the flow at the NR3 (Nam-River) station. The COD concentration was ¡°up trand¡± due to the flow at NR1 (Kyungho-River 1) and NR2 (Kyungho-River 2) located upstream of the Nam-River. The effect of influent flow on water quality varies according to each site and analysis item. Therefore, for the effective water quality management in the Nam-River, it is necessary to take measures to improve the water quality at the point where the water quality is continuously ¡°up trand¡± during the study period.
KEYWORD
Regional/seasonal Mann-Kendall, LOWESS, Nam-River, Nonparametric statistical
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