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Non-parametric Trend Analysis Using Long-term Monitoring Data of Water Quality in Paldang Lake

  • Journal of Environmental Impact Assessment
  • Abbr : J EIA
  • 2019, 28(2), pp.83-100
  • Publisher : Korean Society Of Environmental Impact Assessment
  • Research Area : Engineering > Environmental Engineering
  • Published : April 30, 2019

Hangsoo Cho 1 Noh Hye-Ran 2 Ju Yeon Son 2 김귀다 2 Shin Myoung-Chul 2 Yong-Chul Cho 2 Kisik Shin 1

1국립환경과학원
2국립환경과학원 한강물환경연구소

Accredited

ABSTRACT

This study, we conducted a non-parametric trend test (Seasonal Kendall tests, LOWESS) and Cross Correlation.We aimed to identify water quality trends using the weekly data for 9 variables (Water Temperature, EC, DO, BOD, COD, T-N, T-P, TOC and Chl-a) collected from 4 sites in the Paldang Lake from 2004.01 to 2016.12. According to the Seasonal Kendall test, Water temperature increased but EC, T-N and T-P decreased trend. LOWESS showed that BOD was gradually decreased from 2013 to 2016. but COD gradually increased between 2012 and 2016. As a result, it was confirmed that the period between 2012 and 2013 was a turning point in the increase of COD along with the decrease of BOD at all sites in Paldang Lake. Results of Cross Correlation showed that there was no time difference between all of Water variables and Sites. In this study, it is necessary to analyze the cause of the transition period and to monitoring the water quality more precisely for better water quality management in Paldang Lake.

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