[논문]폭염과 하천 수질의 공간적 평가

이지완; 김세훈; 한대영; 신형진; 임혁진; 김성준

doi:10.3741/jkwra.2021.54.9.693

폭염과 하천 수질의 공간적 평가
Spatial assessment of heat wave and river water quality 원문보기

Journal of Korea Water Resources Association = 한국수자원학회논문집, v.54 no.9, 2021년, pp.693 - 704

이지완 (건국대학교 공과대학 사회환경공학부) , 김세훈 (건국대학교 일반대학원 사회환경플랜트공학과) , 한대영 (건국대학교 일반대학원 사회환경플랜트공학과) , 신형진 (한국농어촌공사 농어촌연구원) , 임혁진 (한국수자원조사기술원 조사기획팀) , 김성준 (건국대학교 공과대학 사회환경공학부)

초록
AI-Helper

본 연구는 폭염과 하천수질과의 상관성을 평가하기 위한 것이다. 기상청 91개의 기상관측소의 일 최고기온 과 환경부 수질관측망 918개에 대한 13개의 하천수질인자(DO, BOD, COD, TOC, TN, DTN, NH4-N, NO2-N, NO3-N, TP, DTP, PO4-P, Chl-a)를 대상으로 분석하였다. 최고기온과 수질인자에 대한 상관성 분석을 수행하였으며, DO, Chl-a, T-N의 상관계수(R²)가 0.782, 0.609, 0.691로 가장 높은 상관성을 나타내었다. 폭염과 수질인자 간의 공간적 영향 분석을 위해, 일 최고기온을 이용하여 폭염강도(heat wave intensity, HWI)와 폭염지속시간(heat wave duration, HWD)를 산정하였다. 공간적 영향 평가는 핫스팟 분석과 공간통계분석을 실시하였다. 핫스팟 분석결과 폭염지수(HWD, HWI)는 낙동강 하류유역에 대해 높은 공간상관성을 나타내었으며 수질인자 중 Chl-a, TN이 동일한 결과를 나타내었다. 폭염에 따른 수질 영향 지역 공간 통계분석 결과 공간적인 변동성이 가장 뚜렷하게 나타나는 수질인자는 DO인 것으로 분석되었다.

Abstract ▼ AI-Helper

The purpose of this study is to evaluate the relationship between heat wave and river water quality. The daily maximum air temperature (Tmax) of 91 meteorological stations of the Korea Meteorological Administration and 13 river water quality factors (DO, BOD, COD, TOC, TN, DTN, NH4-N, NO2-N, NO3-N, TP, DTP, PO4-P, Chl-a) of Ministry of Environment were analyzed. The correlation analysis was performed on Tmax and water quality factors, and the determination coefficients (R2) of DO, Chl-a, and TN with Tmax showed high values of 0.782, 0.609, and 0.691 respectively. To analyze the spatial impact between heat waves and water quality factors, the heat wave intensity (HWI) and heat wave duration (HWD) were calculated using the Tmax. The hotspot and spatial statistical analyses were applied for spatial impact evaluation. As a result of hotspot analysis, the heat wave index (HWD, HWI) showed high spatial pattern in the downstream of Nakdong River basin, and Chl-a and TN showed the same pattern. In case of spatial statistical analysis for water quality due to heat wave, the most obvious spatial variability was DO.

주제어

표/그림 (10)

그림 Fig. 1. (a) ASOS weather station, (b) water quality monitoring station
표 Table 1. The maximum temperature and heat wave day of each watershed
표 Table 2. The water quality monitoring results of 5 river basin
그림 Fig. 2. Flowchart of this study
그림 Fig. 3. The results of heat wave index (a) HWD, and (b) HWI
표 Table 3. The results of average heat wave index for 5 river basin
표 Table 4. Correlation analysis result between maximum temperature and water quality
그림 Fig. 4. Spatial distribution of hotspot and coldspot
표 Table 5. The results of hotspot and coldspot average value and z score
그림 Fig. 5. Locations of detected clusters

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