[논문]물환경측정망 자료를 활용한 금강수계 수질 유사도 평가

김지현; 채민희; 윤조희; 석광설

doi:10.14249/eia.2021.30.2.75

물환경측정망 자료를 활용한 금강수계 수질 유사도 평가
Water Quality Similarity Evaluation in Geum River Using Water Quality Monitoring Network Data 원문보기

환경영향평가 = Journal of environmental impact assessment, v.30 no.2, 2021년, pp.75 - 88

김지현 (국립환경과학원 금강물환경연구소) , 채민희 (국립환경과학원 금강물환경연구소) , 윤조희 (국립환경과학원 금강물환경연구소) , 석광설 (국립환경과학원 금강물환경연구소)

초록
AI-Helper

본 연구에서는 금강 수계의 자동측정망 중 6개 지점을 선정하고, 이와 동일하거나 인근에 위치해 있는 수질측정망 지점을 대상으로 두 지점의 수질특성 파악하고 통계 분석을 통하여 상관성을 평가하였다. 또한, 수질 분석결과를 활용하여 수질 지수로 변환하고 등급으로 표현해 비교하였다. 연구에 필요한 자료는 최근 4년간(2016-2019)의 국가물환경측정망 데이터를 활용하였으며 수온, pH, EC, DO, TOC, TN, TP를 평가항목으로 선정하였다. 수질 분석 결과, 자동측정망과 수질측정망의 수질농도는 일부 측정값의 차이는 보였지만 대부분 지점에서 일정한 비로 변동하는 경향을 보였다. 항목 간 상관분석결과 수온, EC, DO 항목은 측정망간 상관성이 매우 높았고, TOC, TN, TP 항목은 기본항목에 비해 낮은 상관성을 보였으나 일부 측정망을 제외하고 0.7 이상(상관계수 r)의 높은 상관관계를 나타냈다. 수질 지수 분석결과 자동측정망 수질지수와 수질측정망 수질지수가 비슷한 경향을 보이는 것으로 평가되었으며, 두 결과 모두 하류로 갈수록 지수점수는 낮아져 오염도가 증가되고 있음을 쉽게 파악할 수 있었다.

Abstract ▼ AI-Helper

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.

주제어

표/그림 (11)

그림 Figure 1. Location of study sites.
표 Table 1. Site name of selected Real-time water quality monitoring stations and water quality monitoring stations
표 Table 2. Water Quality Criteria of RTWQI
표 Table 3. Real-time water quality index (RTWQI)
그림 Figure 2. Water quality results of each water quality monitoring.
그림 Figure 3. Scatter plot for each sites ([A]: Real-time Water Quality monitoring, [M]: Water Quality monitoring).
표 Table 4. Correlations analysis at Real-time water quality data to Manual water quality data
그림 Figure 3. Continued.
그림 Figure 3. Continued.
표 Table 5. All-time water quality index evaluation
표 Table 6. Monthly water quality index evaluation

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