Development of Runoff and Sediment Auto-calibration Tool for HRSM4BMP Model

HRSM4BMP 모형 유출/유사 자동 보정 툴 개발

  • Kum, Donghyuk (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Ryu, Jichul (National Institute of Environmental Research) ;
  • Choi, Jaewan (National Institute of Environmental Research) ;
  • Kang, Hyunwoo (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Jang, Chun Hwa (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Shin, Dong Suk (National Institute of Environmental Research) ;
  • Lee, Jae Kwan (National Institute of Environmental Research) ;
  • Lim, Kyoung Jae (Department of Regional Infrastructures Engineering, Kangwon National University)
  • Published : 2013.01.30

Abstract

Recently, various Best Management Practices (BMPs) have been applied at a field to reduce soil erosion. Hourly Runoff and Sediment Model for Best Management Practices (HRSM4BMP) model could be used to evaluate soil erosion reduction for various agricultural BMPs at fields. Runoff and sediment yield from source areas have to be predicted with greater accuracies to evaluate sediment reduction efficiently with BMPs. To achieve this, the best parameters related with runoff and sediment modules of the HRSM4BMP model should be identified with proper calibration processes. Although manual calibration is often utilized in calibrating runoff and sediment using the HRSM4BMP, objective calibration method would be recommended. The purpose of the study was to develop an automatic calibration tool of the HRSM4BMP model with PARASOL method. This automatic calibration tool was applied to Bangdongri, Chuncheon-si to evaluate its calibration performance. The $R^2$, NSE and RMSE value for runoff estimation were 0.92, 0.92, $0.3m^3$, and for sediment yield estimation were 0.94, 0.94, 0.0027 kg. As shown in this result, automatic calibration tool of HRSM4BMP model would be used to determine the best parameters and can be used to simulate runoff and sediment yield with acceptable accuracies.

Keywords

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