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Analyzing the Spatio-temporal Trend in TMDL Water Quality for Gyeongnam Using Emerging Hot Spot Analysis

수질오염총량제 대응을 위한 경남 하천 수질의 시공간 경향성 분석

  • Sun, Danbee (Agricultural Engineering Major, Gyeongsang National University) ;
  • Kim, Jiho (Agricultural Engineering Major, Gyeongsang National University) ;
  • Kim, Sangmin (Department of Agricultural Engineering & Institute of Agriculture and Life Science, Gyeongsang National University) ;
  • Jang, Min-Won (Department of Agricultural Engineering & Institute of Agriculture and Life Science, Gyeongsang National University)
  • 선단비 (경상대학교 지역환경기반공학전공) ;
  • 김지호 (경상대학교 지역환경기반공학전공) ;
  • 김상민 (경상대학교 지역시스템공학.농업생명과학연구원) ;
  • 장민원 (경상대학교 지역시스템공학.농업생명과학연구원)
  • Received : 2020.10.12
  • Accepted : 2020.11.17
  • Published : 2020.11.30

Abstract

This study aimed to provide a basic information for managing the water quality of national and regional 1st rivers in Gyeongnam by analyzing the emerging hot spot patterns in BOD, T-P, and TOC, and by grouping the changing trends into clusters. The emerging hot spot analysis for each water quality item was implemented in ArcGIS Desktop with monthly water quality data from 96 water environmental monitoring stations in Gyeongnam, and then four patterns of water quality change were classified by the K-mean cluster analysis. As for BOD, persistent cold spot pattern covered about 42.9% of target rivers, and T-P concentration tended to be low or be getting lower at over 70% of target rivers. While, for TOC, about 70% of target rivers resulted in oscillating hot spots. In addition, the cluster analysis showed that the downstream of Nakdong river had the top priority in terms of water quality management because of the increasing concentration for all the three water quality.

Keywords

References

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