한국농공학회논문집 (Journal of The Korean Society of Agricultural Engineers)

  • 제51권6호
  • /
  • Pages.1-9
  • /
  • 2009
  • /
  • 1738-3692(pISSN)
  • /
  • 2093-7709(eISSN)
한국농공학회 (The Korean Society of Agricultural Engineers)
권호 표지
DOI QR코드

DOI QR Code

Web-GIS 기반 SWAT 자료 공급 시스템 구축

Development of Web-GIS based SWAT Data Generation System

  • 남원호 (서울대학교 생태조경.지역시스템공학부 대학원) ;
  • 최진용 (서울대학교 조경.지역시스템공학부, 농업생명과학연구원) ;
  • 홍은미 (서울대학교 생태조경.지역시스템공학부 대학원) ;
  • 김학관 (서울대학교 농업생명과학연구원)
  • 발행 : 2009.11.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Watershed topographical data is essential for the management for water resources and watershed management in terms of hydrology analysis. Collecting watershed topographical and meteorological data is the first step for simulating hydrological models and calculating hydrological components. This study describes a specialized Web-based Geographic Information Systems, Soil Water Assessment Tool model data generation system, which was developed to support SWAT model operation using Web-GIS capability for map browsing, online watershed delineation and topographical and meteorological data extraction. This system tested its operability extracting watershed topographical and meteorological data in real time and the extracted spatial and weather data were seamlessly imported to ArcSWAT system demonstrating its usability. The Web-GIS would be useful to users who are willing to operate SWAT models for the various watershed management purposes in terms of spatial and weather preparing.

키워드

참고문헌

  1. Arnold, J. G., R. Srinivasan, R. S. Muttiah, and J. R. Williams, 1998. Large area hydrologic modeling and assessment part I : model development. Journal of American Water Resources Association 34(1): 73-89 https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
  2. Chaplot, V, 2005. Impact of DEM mesh size and soil map scale on SWAT runoff, sediment, and NO3-N loads predictions. Journal of Hydrology 312: 207-222 https://doi.org/10.1016/j.jhydrol.2005.02.017
  3. Choi, J. Y., and B. A. Engel, 2003. Real Time Watershed Delineation System Using Web-GIS. Journal of Computing in Civil Engineering, ASCE 17(3): 189-196 https://doi.org/10.1061/(ASCE)0887-3801(2003)17:3(189)
  4. David Mason, 2000. An Analysis of a Methodology for Generating Watershed Parameters using GIS. Center for Research in Water Resources. The University of Texas at Austin
  5. Ficklin, D. L., Y. Luo, E. Luedeling, and M. Zhang, 2009. Climate Change Sensitivity Assessment of a Highly Agricultural Watershed Using SWAT. Journal of Hydrology https://doi.org/10.1016/j.jhydrol.2009.05.016
  6. Fontaine, T. A., T. S. Cruickshank, J. G. Arnold, and R. H. Hotchkiss, 2002. Development of a snowfallsnowmelt routine for mountainous terrain for the soil water assessment tool (SWAT). Journal of Hydrology 262: 209-223 https://doi.org/10.1016/S0022-1694(02)00029-X
  7. Kim, K. T., 1998. Analysis of Runoff Response Using GIS. Ph. D. diss., Inha University (in Korean)
  8. Kim, K. T., and Y. S. Choi, 2006. Development of Interface System to Couple the SWAT Model and HyGIS. Journal of Korean Association of Geographic Information Studies 9(3): 136-145 (in Korean)
  9. Kim, N. W., and Y. S. Won, 2004. Development of Coupled SWAT-SWMM Model (Ⅰ) Model Development. Journal of Korea Water Resources Association 37(7): 589-598 (in Korean) https://doi.org/10.3741/JKWRA.2004.37.7.589
  10. Kim, N. W., I. M. Chung, Y. S. Won, and J. G. Arnold, 2008. Development and application of the integrated SWAT-MODFLOW model. Journal of Hydrology 356: 1-16 https://doi.org/10.1016/j.jhydrol.2008.02.024
  11. Lee, I. K., and K. S. Ahn, 2007. Estimation of Watershed Parameters and Runoff Computation Using GIS. Journal of Korea Water Resources Association 40(1): 11-24 (in Korean) https://doi.org/10.3741/JKWRA.2007.40.1.011
  12. Lee, Y. J., M. J. Park, K. W. Park, and S. J. Kim, 2008. Analysis of Hydrologic Behavior Including Agricultural Reservoir Operation using SWAT Model. Journal of Korean Association of Geographic Information Studies 11(1): 20-30 (in Korean)
  13. Luzio, M. D., R. Srinivasan, and J. G. Arnold, 2002. Integration of watershed tools and SWAT model into BASINS. Journal of American Water Resources Association 38(4): 1127-1141 https://doi.org/10.1111/j.1752-1688.2002.tb05551.x
  14. Nam, W. H., J. Y. Choi, M. W. Jang, and B. A. Engel, 2007. Web-based GIS for Real Time Hydrologic Topographical Data Extraction for the Geum River Watershed in Korea. Journal of the Korean Society of Agricultural Engineers 49(5): 81-90 (in Korean) https://doi.org/10.5389/KSAE.2007.49.5.081
  15. Nam, W. H., 2008. Development of Web-based GIS for Hydrological and Meteorological Data Provision in Real Time. Masterogical aSeoul National teorological Data Pro)
  16. Park, J. Y., M. S. Lee, G. A. Park, and S. J. Kim, 2008a. Comparative Anaysis of SWAT Generated Streamflow and Stream Water Quality Using Differnet Spatial Resolution Data. Journal of Korea Water Resources Association 41(11): 1079-1094 (in Korean) https://doi.org/10.3741/JKWRA.2008.41.11.1079
  17. Park, J. Y., M. S. Lee, Y. J. Lee, and S. J. Kim, 2008b. The Analysis of Future Land Use Change Impact on Hydrology and Water Quality Using SWAT Model. Journal of the Korean Society of Civil Engineers 28(2B): 187-197 (in Korean)
  18. Romanowicz, A. A., M. Vanclooster, M. Rounsevell, and I. L. Junesse, 2005. Sensitivity of the SWAT model to the soil and land use data parametrization: a case study in Thyle catchment, Belgium. Ecological Modelling 187: 27-39 https://doi.org/10.1016/j.ecolmodel.2005.01.025
  19. Saxton, K. E., W. J. Rawls, J. S. Romberger, and R. I. Papendick, 1986. Estimating generalized soil-water characteristics from texture. Soil Science Society of America Journal 50(4): 1031-1036 https://doi.org/10.2136/sssaj1986.03615995005000040039x
  20. Srinivasan, R., 2005. ArcView/SWAT2005 - A tool for TMDL Development & Assessment. AWRA 2006 Spring Specialty Conference GIS and Water Resources Ⅳ: 1-26. Houston, Texas

피인용 문헌

  1. Development of RESTful Web Service for Loading Data focusing on Daily Meteorological Data vol.56, pp.6, 2014, https://doi.org/10.5389/KSAE.2014.56.6.093
  2. Effect of Design Value Selection on Heating and Cooling Load Calculation in Greenhouses vol.27, pp.4, 2018, https://doi.org/10.12791/KSBEC.2018.27.4.277