Evaluation of Runoff and Pollutant Loads using L-THIA 2012 Runoff and Pollutant Auto-calibration Module and Ranking of Pollutant Loads Potential

L-THIA 2012 유출 및 수질 자동 보정 모듈을 이용한 유출/비점부하량 산정 및 비점오염 부하량 포텐셜 등급화

  • Jang, Chunhwa (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Kum, Donghyuk (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Ha, Junsoo (Greentech Environment Consulting CO., LTD.) ;
  • Kim, Kyoung-Soon (Geoinformatc Engineering Research Institute, Inha University) ;
  • Kang, Dong Han (Gyeonggi Institute of Health Environment) ;
  • Kim, Keuk-Tai (Gyeonggi Institute of Health Environment) ;
  • Shin, Dong Suk (National Institute of Environmental Research) ;
  • Lim, Kyoung Jae (Department of Regional Infrastructures Engineering, Kangwon National University)
  • 장춘화 (강원대학교 지역건설공학과) ;
  • 금동혁 (강원대학교 지역건설공학과) ;
  • 하준수 ((주)그린텍 환경컨설팅) ;
  • 김경순 (인하대학교 지리정보공학연구소) ;
  • 강동한 (경기도 보건환경연구원) ;
  • 김극태 (경기도 보건환경연구원) ;
  • 신동석 (국립환경과학원) ;
  • 임경재 (강원대학교 지역건설공학과)
  • Published : 2013.03.30

Abstract

Urbanization from agricultural/forest areas has been causing increased runoff and pollutant loads from it. Thus, numerous models have been developed to estimate NPS loading from urban area and Long-Term Hydrologic Impact Analysis (L-THIA) model has been used to evaluate effects of landuse changes on runoff and pollutant loads. However, the L-THIA model could not consider rainfall intensity in runoff evaluation. Therefore, the L-THIA model, capable of simulating runoff using 10-minute rainfall data, was applied to the study areas for evaluation of estimated runoff and NPS. The estimated Nash-Sutcliffe coefficient (NSE) values were over 0.6 for runoff, BOD, TN, and TP for most sites and watershed. The calibrated model was further extended to other counties for pollutant load potential evaluation. Pollutant load potential maps were developed and target areas were identified. As shown in this study, the L-THIA 2012 can be used for evaluation runoff and pollutant loads with limited data sets and its estimation could be used in identifying pollutant load hot spot areas for implementation of site-specific Best Management Practices.

Keywords

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