Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
권호 표지
DOI QR코드

DOI QR Code

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

직접유출량 모의를 위한 ArcGIS 기반의 모형 개발 및 개선

  • 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)
  • Received : 2018.09.05
  • Accepted : 2018.10.15
  • Published : 2018.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

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.

Keywords

References

  1. Bhaduri, B., J. Harbor, B. A. Engel, and M. Grove, 2000. Assessing watershed-scale, long-term hydrologic impacts of land use change using a GIS-NPS model. Environmental Management 26(6): 643-658. doi:10.1007/s002670010122.
  2. Choi, J. W., H. Lee, D. S. Shin, and S. U. Cheon, 2009. Evaluation of estimated storm runoff and non-point pollutant discharge from upper watershed of Daecheong reservoir during rainy season using L-THIA ArcView GIS model. Journal of Korean Society on Water Quality 25(6): 984-993 (in Korean).
  3. Garen, D. C., and D. S. Moore, 2005. Curve number hydrology in water quality modeling: uses, abuses, and future directions. Journal of the American Water Resources Association 41(2): 377-388. doi:10.1111/j.1752-1688.2005.tb03742.x.
  4. Jeon, J., D. K. Cha, D. Choi, and T. Kim, 2013. Spatial analysis of nonpoint source pollutant loading from the Imha dam watershed using L-THIA. Journal of the Korean Society of Agricultural Engineers 55(1): 17-29. https://doi.org/10.5389/KSAE.2013.55.1.017
  5. Kim, J., B. A. Engel, W. S. Jang, Y. S. Park, J. Park, D. Shin, S. J. Kim, and K. J. Lim, 2010. Development and application of L-THIA 2009 system for accurate direct runoff estimation in Doam-dam watershed. American Society of Agricultural and Biological Engineers Annual International Meeting. Paper Number: 1000012.
  6. Kim, J. J ., T. D. Kim, D. H. Choi, K. J. Lim, B. A. Engel, and J. H. Jeon, 2009. L-THIA modification and SCE-UA application for spatial analysis of nonpoint source pollution at Gumho River Basin. Journal of Korean Society on Water Quality 25(2): 311-321 (in Korean).
  7. Lim, K. J., B. A. Engel, Y. Kim, B. Bhaduri, and J. Harbor, 1999. Development of the Long Term Hydrologic Impact Assessment (LTHIA) WWW systems. Soil Conversion Organization Meeting, pp. 1018-1023.
  8. Lim, K. J., B. A. Engel, Z. Tang, J. Choi, K. S. Kim, S. Muthukrishnan, and D. Tripathy, 2005. Automated Web GIS-based Hydrograph Analysis Tool, WHAT. Journal of the American Water Resource Association 41(6): 1407-1416. doi:10.1111/j.1752-1688.2005.tb03808.x.
  9. Pandey, S., R. Gunn, K. J. Lim, B. A. Engel, and J. Horbor, 2000. Developing a web-enabled tool to assess long-term hydrologic impacts of land-use change: information technology issues and a case study. Journal of the Urban and Regional Information System Association 12(4): 5-17.
  10. Santhi, C., J. G. Arnold, J. R. Williams, W. A. Dugas, R. Srinivasan, and L. M. Hauck, 2001. Validation of the SWAT model on a large river basin with point and nonpoint sources. Journal of the American Water Resource Association 37(5): 1169-1188. doi:10.1111/j.1752-1688.2001.tb03630.x.
  11. Tang, Z., B. A. Engel, K. J. Lim, B. C. Pijanowski, and J. Harbor, 2005. Minimizing the impact of urbanization on long term runoff. Journal of the American Water Resources Association 41(6): 1347-1359. doi:10.1111/j.1752-1688.2005.tb03804.x.
  12. USDA, 1986. Urban hydrology for small watersheds, Natural Resources Conservation Service, United States Department of Agriculture.