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수질오염총량제 대응을 위한 경남 하천 수질의 시공간 경향성 분석Analyzing the Spatio-temporal Trend in TMDL Water Quality for Gyeongnam Using Emerging Hot Spot Analysis

Other Titles
Analyzing the Spatio-temporal Trend in TMDL Water Quality for Gyeongnam Using Emerging Hot Spot Analysis
Authors
선단비김지호김상민장민원
Issue Date
2020
Publisher
한국농촌계획학회
Keywords
Emerging hot spot; space time cube; spatio-temporal trend; total maximum daily load (TMDL); water quality
Citation
농촌계획, v.26, no.4, pp 53 - 65
Pages
13
Indexed
KCI
Journal Title
농촌계획
Volume
26
Number
4
Start Page
53
End Page
65
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/7478
DOI
10.7851/ksrp.2020.26.4.053
ISSN
1225-8857
2288-9493
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.
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농업생명과학대학 > Department of Agricultural Engineering, GNU > Journal Articles

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농업생명과학대학 (지역시스템공학과)
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