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기후변화와 강우분포 및 CN에 따른 미래 홍수량 평가

Assessment of Future Flood According to Climate Change, Rainfall Distribution and CN

  • Kwak, Jihye (Department of Rural Systems Engineering, Seoul National University) ;
  • Kim, Jihye (Department of Rural Systems Engineering, Seoul National University) ;
  • Jun, Sang Min (Department of Rural Systems Engineering, Seoul National University) ;
  • Hwang, Soonho (Research Institute of Agriculture and Life Sciences, Seoul National University) ;
  • Lee, Sunghack (Convergence Center for Watershed Management, Integrated Watershed Management Institute) ;
  • Lee, Jae Nam (Water Resources & Environment Research Group, Rural Research Institute, Korea Rural Community Corporation) ;
  • Kang, Moon Seong (Department of Rural Systems Engineering, Research Institute of Agriculture and Life sciences, Institute of Green Bio Science and Technology, Seoul National University)
  • 투고 : 2020.09.24
  • 심사 : 2020.10.26
  • 발행 : 2020.11.30

초록

According to the standard guidelines of design flood (MLTM, 2012; MOE, 2019), the design flood is calculated based on past precipitation. However, due to climate change, the frequency of extreme rainfall events is increasing. Therefore, it is necessary to analyze future floods' volume by using climate change scenarios. Meanwhile, the standard guideline was revised by MOE (Ministry of Environment) recently. MOE proposed modified Huff distribution and new CN (Curve Number) value of forest and paddy. The objective of this study was to analyze the change of flood volume by applying the modified Huff and newly proposed CN to the probabilistic precipitation based on SSP and RCP scenarios. The probabilistic rainfall under climate change was calculated through RCP 4.5/8.5 scenarios and SSP 245/585 scenarios. HEC-HMS (Hydrologic Engineering Center - Hydrologic Modeling System) was simulated for evaluating the flood volume. When RCP 4.5/8.5 scenario was changed to SSP 245/585 scenario, the average flood volume increased by 627 ㎥/s (15%) and 523 ㎥/s (13%), respectively. By the modified Huff distribution, the flood volume increased by 139 ㎥/s (3.76%) on a 200-yr frequency and 171 ㎥/s (4.05%) on a 500-yr frequency. The newly proposed CN made the future flood value increase by 9.5 ㎥/s (0.30%) on a 200-yr frequency and 8.5 ㎥/s (0.25%) on a 500-yr frequency. The selection of climate change scenario was the biggest factor that made the flood volume to transform. Also, the impact of change in Huff was larger than that of CN about 13-16 times.

키워드

참고문헌

  1. Bai, Y., Z. Zhang, and W. Zhao, 2019. Assessing the impact of climate change on flood events using HEC-HMS and CMIP5. Water, Air, and Soil Pollution 230(5): 119. doi:10.1007/s11270-019-4159-0.
  2. Cho, J. P., 2013. Impact assessment of climate change for agricultural reservoirs considering uncertainty. Research Report 2013-05. APEC Cllimate Center (in Korean).
  3. Huff, F. A., 1967. Time distribution of rainfall in heavy storms. Water resources Research 3(4): 1007-1019. https://doi.org/10.1029/WR003i004p01007
  4. Joo, J. G., J. H. Lee, D. J. Jo, H. D. Jun, and J. H. Kim, 2007. Development of a rainfall time distribution model for urban watersheds. Journal of Korea Water Resources Association 40(8): 655-663 (in Korean). https://doi.org/10.3741/JKWRA.2007.40.8.655
  5. Kim, J. H., J. H. 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): 30-51 (in Korean). doi:10.5389/KSAE.2016.58.1.039.
  6. Kim, W. G., and T. S. Ryu, 2011. Strategy of flood control capacity enhancement on existing multipurpose dams to the effect of climate change. Journal of the Korean Professional Engineers Association 44(2): 23-28 (in Korean).
  7. Lee, J. K., and J. H. Lee, 2003. Effect of temporal distribution of rainfall on water-surface level of Sihwa Lake. Journal of Korea Water Resources Association 36(2): 325-343 (in Korean). doi:10.3741/JKWRA.2003.36.2.325.
  8. Lee, H. S., and J. J. Lee, 2018. Application of flood vulnerability index for analyzing safety change of levee according to climate change. Journal of Korea Water Resources Association 51(4): 293-299 (in Korean). doi:10.3741/JKWRA.2018.51.4.293.
  9. Lim, W. H., D. Yamazaki, S. Koirala, Y. Hirabayashi, S. Kanae, S. J. Dadson, J. W. Hall, and F. Sun, 2018. Long-term changes in global socioeconomic benefits of flood defenses and residual risk based on CMIP5 climate models. Earth's Future 6: 938-954. doi:10.1002/2017EF000671.
  10. MAFRA (Ministry of Agriculture, Food and Rural Affairs), 2019. Statistical yearbook of land and water development for agriculture. 11-1380000-000014-10. Gyeonggi-do, Korea (in Korean).
  11. MLTM (Ministry of Land, Transport and Maritime Affairs), 2011. A study on the improvement and complementation of probabilistic rainfall 11-1511000-001995-01 (in Korean).
  12. MLTM (Ministry of Land, Transport and Maritime Affairs), 2012. Design flood estimation methods (in Korean).
  13. MOE (Ministry of Environment), 2019. Standard guidelines for estimating flood volumes 11-148000- 001604-14 (in Korean).
  14. Nyaupane, N., B. Thakur, A. Karlra, and S. Ahmad, 2018. Evaluating future flood scenarios using CMIP5 climate projections. Water 10(12): 1866. doi: 10.3390/w10121866.
  15. Park, D. H., J. S. Yu, J. H. Ahn, and T. W. Kim, 2017. Redetermining the curve number of Korean forest according to hydrologic condition class. Journal of Korea Water Resources Association 50(10): 653-660 (in Korean). doi:10.3741/JKWRA.2017.50.10.653.
  16. Park, J. H., M. S. Kang, I. H. Song, S. H. Hwang, and J. H. Song, 2013. Development of IDF curves based on RCP 4.5 scenario for 30-reservoirs in South Korea. Journal of the Korean Society of Hazard Mitigation 13(6): 145-159 (in Korean). doi:10.9798/KOSHAM.2013.13.6.145.
  17. Ryu, J. H., M. S. Kang, J. H. Park, S. M. Jun, J. H. Song, K. U. Kim, and K. D. Lee, 2015. Estimation of future design flood under non-stationarity for Wonpyeongcheon watershed. Journal of the Korean Society of Agricultural Engineers 57(5): 139-152 (in Korean). doi:10.5389/KSAE.2015.57.5.139.