한국농공학회논문집 (Journal of The Korean Society of Agricultural Engineers)

  • 제60권6호
  • /
  • Pages.65-71
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  • 2018
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  • 1738-3692(pISSN)
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  • 2093-7709(eISSN)
한국농공학회 (The Korean Society of Agricultural Engineers)
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직접유출량 모의를 위한 ArcGIS 기반의 모형 개발 및 개선

Improvement and Application of the ArcGIS-based Model to Estimate Direct Runoff

  • Kim, Jonggun (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Lim, Kyoung Jae (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Engel, Bernie (Department of Agricultural and Biological Engineering, Purdue University) ;
  • Cha, Sang Sun (Department of Rural Construction Engineering, Kongju National University) ;
  • Park, Chan-Gi (Department of Rural Construction Engineering, Kongju National University) ;
  • Park, Youn Shik (Department of Rural Construction Engineering, Kongju National University)
  • 투고 : 2018.09.05
  • 심사 : 2018.10.15
  • 발행 : 2018.11.30
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초록

The Long-Term Hydrologic Impact Assessment (L-THIA) model is a quick and straightforward analysis tool to estimate direct runoff and nonpoint source pollution. L-THIA was originally implemented as a spreadsheet application. GIS-based versions of L-THIA have been developed in ArcView 3 and upgraded to ArcGIS 9. However, a major upgrade was required for L-THIA to operate in the current version of ArcGIS and to provide more options in runoff and NPS estimation. An updated L-THIA interfaced with ArcGIS 10.0 and 10.1 has been developed in the study as an ArcGIS Desktop Tool. The model provides a user-friendly interface, easy access to the model parameters, and an automated watershed delineation process. The model allows use of precipitation data from multiple gauge locations for the watershed when a watershed is large enough to have more than one precipitation gauge station. The model estimated annual direct runoff well for our study area compared to separated direct runoff in the calibration and validation periods of ten and nine years. The ArcL-THIA, with a user-friendly interface and enhanced functions, is expected to be a decision support model requiring less effort for GIS processes or to be a useful educational hydrology model.

키워드

참고문헌

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