Journal of Soil and Groundwater Environment (한국지하수토양환경학회지:지하수토양환경)

Korean Society of Soil and Groundwater Environment (한국지하수토양환경학회)
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Development and Application of a Physics-based Soil Erosion Model

물리적 표토침식모형의 개발과 적용

  • Yu, Wansik (International Water Resources Research Institute, Chungnam National University) ;
  • Park, Junku (Dept of Biological Environment, Kangwon National University) ;
  • Yang, JaeE (Dept of Regional Infrastructure Engineering, Kangwon National University) ;
  • Lim, Kyoung Jae (Bio Environmental Chemistry, Chungnam National University) ;
  • Kim, Sung Chul (Korea Water Environment Research Institute) ;
  • Park, Youn Shik (Department of Rural Construction Engineering, Kongju National University) ;
  • Hwang, Sangil (Korea Environment Institute) ;
  • Lee, Giha (Dept of Construction and Disaster Prevention Engineering, Kyungpook National University)
  • 유완식 (충남대학교 국제수자원연구소) ;
  • 박준구 (인하대학교 토목공학과) ;
  • 양재의 (강원대학교 바이오자원환경학과) ;
  • 임경재 (강원대학교 지역건설공학과) ;
  • 김성철 (충남대학교 생물환경화학과) ;
  • 박윤식 (공주대학교 생물산업공학부) ;
  • 황상일 (한국환경정책평가연구원) ;
  • 이기하 (경북대학교 건설방재공학부)
  • Received : 2017.11.20
  • Accepted : 2017.12.14
  • Published : 2017.12.31
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Abstract

Empirical erosion models like Universal Soil Loss Equation (USLE) models have been widely used to make spatially distributed soil erosion vulnerability maps. Even if the models detect vulnerable sites relatively well utilizing big data related to climate, geography, geology, land use, etc within study domains, they do not adequately describe the physical process of soil erosion on the ground surface caused by rainfall or overland flow. In other words, such models are still powerful tools to distinguish the erosion-prone areas at large scale, but physics-based models are necessary to better analyze soil erosion and deposition as well as the eroded particle transport. In this study a physics-based soil erosion modeling system was developed to produce both runoff and sediment yield time series at watershed scale and reflect them in the erosion and deposition maps. The developed modeling system consists of 3 sub-systems: rainfall pre-processor, geography pre-processor, and main modeling processor. For modeling system validation, we applied the system for various erosion cases, in particular, rainfall-runoff-sediment yield simulation and estimation of probable maximum sediment (PMS) correlated with probable maximum rainfall (PMP). The system provided acceptable performances of both applications.

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References

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