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A Non-parametric Trend Analysis of Water Quality Using Water Environment Network Data in Nakdong River

  • Journal of Environmental Impact Assessment
  • Abbr : J EIA
  • 2020, 29(1), pp.61-77
  • Publisher : Korean Society Of Environmental Impact Assessment
  • Research Area : Engineering > Environmental Engineering
  • Received : October 24, 2019
  • Accepted : December 9, 2019
  • Published : February 29, 2020

Jungmin Kim 1 Jeong, Hyungi ORD ID 2 Hyeran Kim 2 Yongseok Kim 2 Deuk Seok Yang 1

1국립환경과학원 낙동강물환경연구소
2국립환경과학원

Accredited

ABSTRACT

In South Korea, major public waters have been systematic management under national level. Water environment network has been continuous monitoring for change of aquatic ecosystem, river and reservoir. In Water Quality Monitoring Networks, the data have been generally monitored Per eight days or month, while in Automatic Water Quality Monitoring Network the data have been monitored at daily intervals. Therefore, we were compared and analyzed water quality data between the networks using statistic method for same water quality item. Mann-kendall test results confirm that all points in Water Temperature (WT) and DO were not statistically significant. In particular, the result revealed that there is significant variation of TOC in the four different sites, TN in two different sites, TP in three different sites, WT in seven different sites, pH in two different sites between Water Quality Monitoring Network and Automatic Water Quality Monitoring Network. As a result firm LOWESS, TOC and pH clearly shows different trend. Among different sites, the water quality show the significantly positive correlations between at Sinam-Sangju2 and Namgang-Namgang4. Negative correlation significantly appeared in TP (ADD_Lower-AD1 site), TOC (DG-SG site), pH (GR-GR site), TP (JP-CN) and TN, TP, pH, EC, DO (GC-GC2-1 site).

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