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http://dx.doi.org/10.14249/eia.2021.30.2.75

Water Quality Similarity Evaluation in Geum River Using Water Quality Monitoring Network Data  

Kim, Jeehyun (Geum River Environment Research Center, National Institute of Environmental Research)
Chae, Minhee (Geum River Environment Research Center, National Institute of Environmental Research)
Yoon, Johee (Geum River Environment Research Center, National Institute of Environmental Research)
Seok, Kwangseol (Geum River Environment Research Center, National Institute of Environmental Research)
Publication Information
Journal of Environmental Impact Assessment / v.30, no.2, 2021 , pp. 75-88 More about this Journal
Abstract
Six locations in the automated monitoring network at the Geum River Basin were selected forthis study. The water quality characteristics at two of the locations in the water quality monitoring network that were identical, or nearby, were examined, and their correlations were evaluated through statistical analysis. The results of the water quality analysis were converted to the water quality index and expressed in grades for comparison. For the data necessary for the study, public data from four years, from 2016-2019 were used and the evaluation parameters were water temperature, pH, EC, DO, TOC, TN, and TP. Results of the analysis showed that the water quality concentrations measured in the automated monitoring network and the water quality monitoring network differed in some measured values, but they tended to register variation in a specified ratio in most of the locations in the network. The analysis of the correlations of the parameters between the two monitoring networks found that water temperature, EC, and DO showed high correlations between the two monitoring networks. The TOC, TN, and TP showed high correlations, with a 0.7 or higher (correlation coefficient r), with the exception of some of the monitoring networks, although their correlations were lower than those of the basic parameters. The water quality index analysis showed that the water quality index values of the automated monitoring network and the water quality monitoring network were similar. The water quality index decreased and the pollution degree increased in the downstream direction, in both networks.
Keywords
Geum River; Water quality; Water quality monitoring; Real-time Water Quality monitoring; Water Quality Index;
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  • Reference
1 Park KD, Kang DH, So YH, Kim IK. 2019. Temporal-Spatial Variations of Water Quality Level and Water Quality Index on the Living Environmental Standards in the West Nakdong River. Journal of Environmental Science International 28(12): 1071-1083. [Korean Literature]   DOI
2 Park YJ, Lee SJ, An KG. 2019. Analysis of Fish Ecology and Water Quality for Health Assessments of Geum - River Watershed. Korean J. Environ. Ecol. 33(2): 187-201. [Korean Literature]
3 Canadian Council of Ministers of the Environment. 2017. CCME Water Quality Index User's Manual; Canadian Water Quality Guidelines for the Protection of Aquatic Life.
4 Kal BS, Park JB, Kim SH, Im TH. 2017. Assessment of tributary water quality using integrated Water Quality Index. Journal of Wetlands Research 26(5): 796-801. [Korean Literature]
5 National Institute of Environmental Reserch, Realtime Water Environment Information System. [Cited Mar. 2020]. Available from: http://www.koreawqi.go.kr
6 Kim JM, Jeong HG, Kim HR, Kim YS, Yang DS. 2020. A Non-parametric Trend Analysis of Water Quality Using Water Environment Network Data in Nakdong River. J. Environ. Impact Assess 29(1): 61-77. [Korean Literature]   DOI
7 Kim SH. 2017. A Study on the Installation of Sensor Type Water Quality Automatic Monitoring System using EC Correlation. Hoseo University, Asan. [Korean Literature]
8 Kim YJ, Gal BS, Park JB, Kim SH, Im TH. 2018. Classification of Nakdong River Tributaries under Priority Management based on their Characteristics and Water Quality Index. J. Korean Soc. Environ. Eng. 40(2): 73-81. [Korean Literature]   DOI
9 Kim YS, Moon HS, Hong JY, Kim MA, Kim SB, Shin HJ, Kim GH. 2015. Analysis of Correlation between Water Quality Parameters using Data from Real-time Automatic Measurement in the Geum River. South Korea. J. of the Korean Society for Environmental Analysis 18(1): 67-77. [Korean Literature]
10 Lim BJ, Hong JY, Yeon IS. 2010. Application of Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) in Daecheong Reservoir using Automatic Water Quality Monitoring Data. Journal of Korean Society on Water Quality 26(5): 796-801. [Korean Literature]
11 Park HG, Cha EH. 2013. A Study on the Influence of Water Quality on the Upper Stream of Hap-Chun Lake. J. Kor. Soc. Environ. Eng. 35(2): 94-100. [Korean Literature]   DOI
12 Park JB, Kal BS, Kim SH. 2018. Long-term Trend Analysis of Major Tributaries of Nakdong River Using Water Quality Index. Journal of Wetlands Research 20(3): 201-209. [Korean Literature]   DOI
13 Kang TK. 2019. Overseas Water Quality Monitoring Network Operation Case. Korea Institute of Science and Technology Information (KISTI). [Korean Literature]
14 National Institute of Environmental Reserch, Water Environment Information System. [Cited Mar. 2020]. Available from: http://water.nier.go.kr
15 Ministry of Environment (MOE). 2019. Water Quality Monitoring Program, Ministry of Environment; pp. 3-5. [Korean Literature]
16 National Institute of Environmental Research (NIER). 2006. A study on the rational plan of the automatic water quality measurement network measurement items and warning criteria. [Korean Literature]
17 National Institute of Environmental Reserch (NIER). 2019. Standard Method for Examination of Water.
18 United States Geological Survey (USGS), National Water Information System. [Cited Mar. 2020]. Available from: https://www.usgs.gov
19 Ryu DK, Lee KS, Lee CH, Yoon HK, Eo SM, Bae KS, Kim MH. 2002. Variation Analysis of Water Quality of the Low Han River by using Automated Water Monitoring system. Report of S.I.H.E. 38: 389-394. [Korean Literature]
20 Yu JH, Lee HS, Lim BR, Kang JH, Ahn TU, Shin HS. 2020. Analysis of Pollution Characteristics in the Mainstream and Its Tributaries of Gongneung Stream Using Water Quality Index and Pollution Load Data. Journal of Korean Society on Water Environment 36(2): 125-136. [Korean Literature]   DOI