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Comparative Analysis of Nitrogen Concentration of Rainfall in South Korea for Nonpoint Source Pollution Model Application

비점오염모델 적용을 위한 우리나라 행정구역별 강수 중 질소농도 비교분석

  • Choi, Dong Ho (Climate Change & Agroecology Division, Department of Agricultural Environment, National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Kim, Min-Kyeong (International Technology Cooperation Center (ITCC), Technical Cooperation Bureau, Rural Development Administration) ;
  • Hur, Seung-Oh (Climate Change & Agroecology Division, Department of Agricultural Environment, National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Hong, Sung-Chang (Climate Change & Agroecology Division, Department of Agricultural Environment, National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Choi, Soon-Kun (Climate Change & Agroecology Division, Department of Agricultural Environment, National Institute of Agricultural Sciences, Rural Development Administration)
  • 최동호 (농촌진흥청 국립농업과학원 농업환경부 기후변화생태과) ;
  • 김민경 (농촌진흥청 기술협력국 국제기술협력과) ;
  • 허승오 (농촌진흥청 국립농업과학원 농업환경부 기후변화생태과) ;
  • 홍성창 (농촌진흥청 국립농업과학원 농업환경부 기후변화생태과) ;
  • 최순군 (농촌진흥청 국립농업과학원 농업환경부 기후변화생태과)
  • Received : 2018.07.10
  • Accepted : 2018.09.15
  • Published : 2018.09.30

Abstract

BACKGROUND: Water quality management of river requires quantification of pollutant loads and implementation of measures through monitoring study, but it requires labour and costs. Therefore, many researchers are performing nonpoint source pollution analysis using computer models. However, calibration of model parameters needs observed data. Nitrogen concentration in rainfall is one of the factors to be considered when estimating the pollutant loads through application of the nonpoint source pollution model, but the default value provided by the model is used when there are no observed data. Therefore, this study aims to provide the representative nitrogen concentration of the rainfall for the administrative district ensuring rational modeling and reliable results. METHODS AND RESULTS: In this study, rainfall monitoring data from June 2015 to December 2017 were used to determine the nitrogen concentration in rainfall for each administrative district. Range of the $NO_3{^-}$ and $NH_4{^+}$ concentrations were 0.41~6.05 mg/L, 0.39~2.27 mg/L, respectively, and T-N concentration was 0.80~7.71 mg/L. Furthermore, the national average of T-N concentration in this study was $2.84{\pm}1.42mg/L$, which was similar to the national average of T-N 3.03 mg/L presented by the Ministry of Environment in 2015. Therefore, the nitrogen concentrations suggested in this study can be considered to be resonable values. CONCLUSION: The nitrogen concentrations estimated in this study showed regional differences. Therefore, when estimating the pollutant loads through application of the nonpoint source pollution model, resonable parameter estimation of nitrogen concentration in rainfall is possible by reflecting the regional characteristics.

본 연구에서는 비점오염 모델에 강우의 질소 농도를 현실적으로 반영하기 위하여 국내 문헌과 3년 동안 관측한 강우 질소 농도를 분석하여 1개시(서울시), 9개도(경기도, 강원도, 충청남/북도, 전북남/북도, 경상남/북도, 제주도) 6개 광역시(부산, 인천, 대전, 울산, 대구, 광주)의 강우시 $NO_3{^-}$, $NH_4{^+}$ 및 T-N의 대표 농도를 제시하였다. $NO_3{^-}$$NH_4{^+}$의 평균 농도는 각각 1.88 mg/L와 0.96 mg/L 였으며, T-N은 2.84 mg/L 였다. 이는 환경부에서 제시하고 있는 2015년 전국 $NO_3{^-}$$NH_4{^+}$의 평균 농도인 1.98 mg/L와 1.05 mg/L와 비슷한 것으로 나타나 본 연구에서 제시된 각 행정구역별 농도는 타당한 수치로 사료된다. 본 연구결과 행정구역별로 질소농도의 차이가 있는 것으로 나타나 해당지역에 적합한 질소농도의 적용이 필요한 것으로 나타났다. 따라서 비점오염 모델 적용시 다양한 구축자료(수문인자, 지형인자 및 영농활동 인자 등)와 더불어 모델 적용지역의 강우 특성을 적절히 반영하여 오염부하량을 추정하는데 활용이 가능할 것으로 판단된다.

Keywords

References

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