Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Evaluation of LOADEST Model Applicability for NPS Pollutant loads Estimation from Agricultural Watershed

농촌유역의 비점원오염부하 산정을 위한 LOADEST 모델의 적용성 평가

  • Shin, Min hwan (Geum-River Environment Research Laboratory) ;
  • Seo, Ji yeon (Division of Agricultural Engineering, Kangwon National University) ;
  • Choi, Yong hun (Division of Agricultural Engineering, Kangwon National University) ;
  • Kim, Jonggun (Division of Agricultural Engineering, Kangwon National University) ;
  • Shin, Dongsuk (Geum-River Environment Research Laboratory) ;
  • Lee, Yeoul-Jae (Geum-River Environment Research Laboratory) ;
  • Jung, Myung-Sook (Han-River Environment Research Laboratory) ;
  • Lim, Kyoung Jae (Division of Agricultural Engineering, Kangwon National University) ;
  • Choi, Joongdae (Geum-River Environment Research Laboratory)
  • 신민환 (국립환경과학원 금강물환경연구소) ;
  • 서지연 (강원대학교 농업생명과학대학) ;
  • 최용훈 (강원대학교 농업생명과학대학) ;
  • 김종건 (강원대학교 농업생명과학대학) ;
  • 신동석 (국립환경과학원 금강물환경연구소) ;
  • 이열재 (국립환경과학원 금강물환경연구소) ;
  • 정명숙 (국립환경과학원 한강물환경연구소) ;
  • 임경재 (강원대학교 농업생명과학대학) ;
  • 최중대 (국립환경과학원 금강물환경연구소)
  • Received : 2008.09.25
  • Accepted : 2009.01.24
  • Published : 2009.03.30
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Abstract

In many studies, the Numeric Integration (NI) method has been widely used to calculate pollutant loads from the watershed because it is easy to apply. However, there have been many needs for more accurate pollutant loads estimation method with the restricted number of water quality samples. However, the ESTIMATOR model does not allow the users to define the regression model to explain the measured flow and water quality relationship, indicating the ESTIMATOR model is not flexible. The LOADEST model allows the user to choose the model type from 11 predefined general forms of regression equations. Annual loads of T-N and T-P with the LOADEST model were 0.70 times and 0.84 times of those by NI method, respectively. The coefficient of determination ($R^2$) of the LOADEST regression for the T-N and T-P were 0.92 and 0.72, respectively. This indicates that the load estimation regression model with the LOADEST for the study watershed explains the relationship between the observed flow and water quality data well reasonably well. Based on these findings, we suggest that the LOADEST model estimated regression equation could be used to estimate pollutant loads using the measured flow data for the study watershed.

Keywords

Acknowledgement

Supported by : 한강수계관리위원회

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