DOI QR코드

DOI QR Code

Analysis of the Change of Dam Inflow and Evapotranspiration in the Soyanggang Dam Basin According to the AR5 Climate Change Scenarios

AR5 기후변화 시나리오에 따른 소양강댐 유역 댐유입량 및 증발산량의 변화 분석

  • Do, Yeonsu (Shool of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University) ;
  • Kim, Gwangseob (Shool of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University)
  • Received : 2017.10.19
  • Accepted : 2017.12.06
  • Published : 2018.01.31

Abstract

This study analyzed the change of the dam inflow and evapotranspiration in the Soyanggang dam basin using the results of 26 CMIP5 GCMs based on AR5 RCP 4.5 and RCP 8.5 scenarios. The SWAT model was used to simulate the dam inflow and evapotranspiration in the target watershed. The simulation was performed during 2010~2016 as the reference year and during 2010~2099 as the analysis period. Bias correction of input data such as precipitation and air temperature were conducted for the reference period of 2006~2016. Results were analyzed for 3 different periods, 2025s (2010~2040), 2055s (2041~2070), and 2085s (2071~2099). It demonstrated that the change of dam inflow gradually increases 9.5~15.9 % for RCP 4.5 and 13.3~29.8 % for RCP 8.5. The change of evapotranspiration gradually increases 1.6~8.6 % for RCP 4.5 and 1.5~8.5 % for RCP8.5.

Keywords

References

  1. Ahn, S. R., M. J. Park, G. Park, and S. J. Kim, 2009. Assessing future climate change impact on hydrologic components of Gyeongancheon watershed. Journal of Korea Water Resources Association 42(1): 33-50. doi:10.3741/jkwra.2009.42.1.33 (in Korean).
  2. Alcamo, J., P. Doll, F. Kaspar, and S. Siebert, 1997. Global change and global scenarios of water use and availability: an application of WaterGAP 1.0. Report A9701. Kassel, Germany: University of Kassel, Center for Environmental Systems Research.
  3. Eum, H. I. and A. J. Cannon, 2017. Intercomparison of projected changes in climate extremes for South Korea: application of trend preserving statistical downscaling methods to the CMIP5 ensemble. International Journal of Climatology 37(8): 3381-3397. doi:10.1002/joc.4924.
  4. IPCC, 2007. Climate Change 2007: The physical science basis. contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
  5. IPCC, 2014. Climate Change 2014: Synthesis report. contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change [Core Writing Team, R.K. Pachauri and L.A. Meyer (eds.)]. IPCC, Geneva, Switzerland.
  6. Javan, K., F. N. Saleh, and H. T. Shahraiyni, 2013. The influences of climate change on the runoff of Gharehsoo River Watershed. American Journal of Climate Change 2(4): 296-305. doi:10.4236/ajcc.2013.24030
  7. Jeong, H. G., S. J. Kim, and R. Ha, 2013. Assessment of climate change impact on storage behavior of chungju and the regulation dams using SWAT model. Journal of Korea Water Resources Association 46(12): 1235-1247. doi:10.3741/jkwra.2013.46.12.1235 (in Korean).
  8. Kim, J., J. Park, J. H. Song, S. M. Jun, and M. S. Kang, 2016. Design flood estimation in the Hwangguji river watershed under climate and land use changes scenario. Journal of The Korean Society of Agricultural Engineers 58(1): 39-51. doi: 10.5389/ksae.2016.58.1.039 (in Korean).
  9. Kwadijk, J. and J. Rotmans, 1995. The impact of climate change on the river Rhine: a scenario study. Climatic Change 30(4): 397-425. doi:10.1007/bf01093854.
  10. Legesse, D., C. Vallet-Coulomb, and F. Gasse, 2003. Hydrological response of a catchment to climate and land use changes in Tropical Africa: case study South Central Ethiopia. Journal of Hydrology 275(1): 67-85. doi:10.1016/s0022-1694(03)00019-2.
  11. Lettenmaier, D. P., A. W. Wood, R. N. Palmer, E. F. Wood, and E. Z. Stakhiv, 1999. Water resources implications of global warming: A US regional perspective. Climatic Change 43(3): 537-579. https://doi.org/10.1023/A:1005448007910
  12. Nash, J. E. and J. V. Sutcliffe, 1970. River flow forecasting through conceptual models part I-A discussion of principles. Journal of hydrology 10(3): 282-290. doi:10.1016/0022-1694(70)90255-6.
  13. Park, J. Y., H. Jung, C. H. Jang, and S. J. Kim, 2014. Assessing climate change impact on hydrological components of Yongdam dam watershed using RCP emission scenarios and SWAT model. Journal of the Korean Society of Agricultural Engineers 56(3): 19-29. doi:10.5389/ksae.2014.56.3.019 (in Korean).
  14. Park, M. H., H. L. Cho, and B. K. Koo, 2015. Nn evaluation of climate change effects on pollution loads of the Hwangryong river watershed in korea. Journal of Korea Water Resources Association 48(3): 185-196. doi:10.3741/jkwra.2015.48.3.185 (in Korean).
  15. Park, M. J., H. J. Shin, G. Park, and S. J. Kim, 2010. Assessment of future hydrological behavior of Soyanggang dam watershed using SWAT. Journal of the Korean Society of Civil Engineers 30(4B): 337-346 (in Korean).