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비점오염모델 적용을 위한 우리나라 행정구역별 강수 중질소농도 비교분석

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

김민경|허승오|최순군|홍성창|최동호
한국환경농학회 (The Korean Society Of Environmental Agriculture)|2018.09|한국환경농학회지 (Agricultural and Environmental Sciences)|제37권 제3호|pp. 189-196|DOI https://doi.org/10.5338/KJEA.2018.37.3.22

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키워드

Administrative districtRainfallNitrogenNonpoint source model
주제분류농학

초록

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 NO3 - and NH4 + 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±1.42 mg/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.

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 NO3 - and NH4 + 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±1.42 mg/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.

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