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Assessment of Water Use Vulnerability Considering Climate and Socioeconomic Changes in Han River Watershed

기후 및 사회·경제 변화를 고려한 한강 유역의 물이용 취약성 평가

  • 박혜선 (연세대학교 사회환경시스템공학부) ;
  • 김혜진 (연세대학교 사회환경시스템공학부) ;
  • 채여라 (한국환경정책.평가연구원 기후융합연구실) ;
  • 김연주 (연세대학교 사회환경시스템공학부)
  • Received : 2017.09.06
  • Accepted : 2017.09.19
  • Published : 2017.12.01

Abstract

Assessment of vulnerability of water use to climate change include a variety of climate change scenarios. However, in most future vulnerability studies, only the climate change scenarios are used and not the future scenarios of social and economic indicators. Therefore, in this study, we applied the Representative Concentration Pathway (RCP) climate change scenario and Shared Socioeconomic reference Pathway (SSP) developed by IPCC to reflect the future. We selected indicators for estimating the vulnerability of water use, and indices were integrated with a multi-criteria decision making approach - Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The indicator data utilized national statistics and reports, social and economic scenarios, and simulated results from the Soil and Water Assessment Tool (SWAT) model which reflects climate change scenario. Finally, we derived the rankings of water use vulnerability for the short-term future (2020) and mid-term future (2050) within the Han River watershed. Generally, considering climate change alone and considering climate change plus social and economic changes showed a similar spatial distribution. In the future scenarios, the watershed rankings were similar, but showed differences with SSP scenario in some watersheds. Therefore, considering social and economic changes is expected to contribute to more effective responses to climate change.

수자원 분야에서 기후변화 취약성 평가 연구는 미래를 반영하는 기후변화 시나리오를 다양한 방법으로 적용하고 있다. 하지만 대부분의 미래 취약성 평가 연구에서 미래 사회 및 경제 변화는 반영되지 않고 있다. 이에 본 연구에서는 통합적인 미래 시대상을 반영하기 위하여 Intergovernmental Panel on Climate Change (IPCC)에서 개발한 Reprensentative Concentration Pathway (RCP) 기후 변화 시나리오와 함께 공동 사회 경제 경로 시나리오(Shared Socioeconomic reference Pathway, SSP)를 적용하고자 하였다. 취약성 평가는 현재 상황 뿐 아니라 미래 시나리오를 반영하기에 적절한 지표를 선정하고 다기준 의사결정기법인 TOPSIS (Technique for Order Performance by Similarity to Ideal Solution)를 활용하여 각 지표를 통합하는 방법으로 진행하였다. 지표 자료는 국가 통계 및 보고서, 기후변화 시나리오가 반영된 SWAT (Soil and Water Assessment Tool) 모형의 모의 결과, 사회 경제 시나리오를 활용하였으며, 최종적으로 주요 수계인 한강 유역의 단기 미래(2020)와 중기 미래(2050)에 대한 중권역별 물이용 취약성 순위를 도출하였다. 전반적으로 기후변화만 적용한 결과와 사회 경제 변화를 함께 적용한 결과는 유사한 공간분포를 보였으나, SSP 시나리오에 따라 일부 유역에서 차이를 보였다. 미래 시나리오 적용 시 유역의 순위 변동성이 유사하게 나타났으나 일부에서는 SSP 시나리오 적용 유무에 따른 차이를 확인할 수 있었다. 본 연구에서 기후변화 취약성 분석 시 사회 경제 시나리오 활용가능성을 확인하였고, 이에 사회 경제 변화를 고려하는 것이 보다 효과적인 기후변화 대응에 도움이 될 것으로 판단된다.

Keywords

References

  1. Ahn, S. R., Jang, C. H., Lee, J. W. and Kim, S. J. (2015). "Assessment of climate and land use change impacts on watershed hydrology for an urbanizing watershed." Journal of the Korean Society of Civil Engineers, Vol. 35, No.3, pp. 567-577 (in Korean). https://doi.org/10.12652/Ksce.2015.35.3.0567
  2. Betts, R. A., Golding, N., Gonzalez, P., Gornall, J., Kahana, R., Kay, G., Mitchell, L. and Wiltshire, A. (2015). "Climate and land use change impacts on global terrestrial ecosystems and river flows in the hadgem2-es earth system model using the representative concentration pathways." Biogeosciences, Vol. 12, pp. 1317-1338. https://doi.org/10.5194/bg-12-1317-2015
  3. Chae, M. O. and Oh, Y. J. (2003). "A study on land suitability factors and their weights." Journal of Korean Geographical Society, Vol. 38, No. 5, pp. 725-740 (in Korean).
  4. Chae, Y. (2016). Development of socio-economic scenarios for low carbon climate change adaptation read society in Korea, Korea Environment Institute (in Korean).
  5. Chauhan, A. and Vaish, R. (2013). "Fluid selection of organic rankine cycle using decision making approach, journal of computational engineering." Journal of Computational Engineering, Vol. 2013, Article ID 105825, Available at: http://dx.doi.org/10.1155/2013/105825.
  6. Choe, J. G. (2013). Geostatistics, SigmaPress, Seoul, pp. 164-165.
  7. Chung, E. S., Abdulai, P. J., Park, H., Kim, Y., Ahn, S. R. and Kim, S. J. (2017). "Multi-criteria assessment of spatial robust water resource vulnerability using the topsis method coupled with objective and subjective weights in the han river basin." Sustainability, Vol. 9, Available at: http://dx.doi.org/10.3390/su9010029.
  8. Chung, J. W., Lee, W. K., Cui, G., Lee, S. C., Choi, S. and Choi, H. A. (2010). "Application study of vulnerability assessment models for water resources to climate change by spatial and watershed scales." Climate Change Research, Vol. 1, No. 1, pp. 21-30.
  9. Han, W. S., Jeung, S. J. and Kim, B. S. (2015). "The analysis method of future flooding discharge considering climate and land-use change using Dyna-CLUE." Journal of Korean Society of Hazard Mitigation, Vol. 15, No. 6, pp. 361-371 (in Korean). https://doi.org/10.9798/KOSHAM.2015.15.6.361
  10. Hwang, C. L. and Yoon, K. (1981). Multiple attribute decision making an introduction, Sage Publications, Thousand Oaks London New Delhi, pp. 38-45.
  11. IPCC (2012). Workshop report of the intergovernmental panel on climate change workshop on socio-economic scenarios [Edenhofer, O., R. Pichs-Madruga, Y. Sokona, V. Barros, C.B. Field, T. Zwickel, S. Schloemer, K. Ebi, M. Mastrandrea, K. Mach, C. von Stechow (eds.)]. IPCC Working Group III Technical Support Unit, Potsdam Institute for Climate Impact Research, Potsdam Germany, p. 51.
  12. 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.)]. PCC, Geneva, Switzerland, p. 151.
  13. Kim, D., Jung, Y., Park, M. J., Yoon, J. Y., Kim, S. and Choi, M. (2011). "Vulnerability analysis of water resources considering climate change." Journal of Wetlands Research, Vol. 13, No. 1, pp. 25-33.
  14. Kim, H. Y. (2016). "Simulation of land use change by storylines of shared socio-economic reference pathways." Journal of the Korean Association of Geographic Information Studies, Vol. 19, No. 2, pp. 1-13 (in Korean). https://doi.org/10.11108/KAGIS.2016.19.2.001
  15. Kim, J. S. and Park, S. Y. (2013). "Urban growth prediction each administrative district considering social economic development aspect of climate change scenario." Journal of the Korean Society for Geo-spatial Information Science, Vol. 21, No. 2, pp. 53-62 (in Korean).
  16. Kim, Y. and Chung, E. S. (2014). "An index-based robust decision making framework for watershed management in a changing climate." Science of the Total Environment, Vol. 473-474, pp. 88-102. https://doi.org/10.1016/j.scitotenv.2013.12.002
  17. Korea Adaptation Center for Climate Change (KACCC). http://ccas.kei.re.kr.
  18. Korea Meteorological Administration (KMA) (2012). Korean Peninsula Climate Change Outlook Report, Korea Meteorological Administration (in Korean).
  19. Lee, D. R., Choi, S. J. and Moon, J. W. (2013). "Development of integrated water resources evaluation index." Journal of Korea Water Resources Association, Vol. 46, No. 10, pp. 1017-1028 (in Korean). https://doi.org/10.3741/JKWRA.2013.46.10.1017
  20. Liu, J., Zhang, C., Kou, L. and Zhou, Q. (2017). "Effects of climate and land use changes on water resources in the Taoer river." Advances in Meteorology, Available at: https://doi.org/10.1155/2017/1031854.
  21. National Institute of Environmental Research (NIER) (2015). Korean climate change assessment report 2014 : Climate change impact and adaptation, Incheon, Republic of Korea (in Korean).
  22. O'Neill, B. (2012). Status of work on shared socioeconomic pathways, IAM Annual Meeting 2012, NCAR, July 19, Vanessa Schweizer.
  23. Park, H. S., Kim, J. B., Um, M. J. and Kim, Y. (2016). "Assessment of Water use Vulnerability in the Unit Watersheds using TOPSIS approach with subjective and objective weights." Journal of Korea Water Resources Association, Vol. 49, No. 8, pp. 685-692 (in Korean). https://doi.org/10.3741/JKWRA.2016.49.8.685
  24. Won, K. J., Sung, J. H. and Chung, E. S. (2015). "Parameteric assessment of water use vulnerability of South Korea using SWAT model and TOPSIS." Journal of Korea Water Resources Association, Vol. 48, No. 8, pp. 647-657 (in Korean). https://doi.org/10.3741/JKWRA.2015.48.8.647
  25. World Bank Group (2016). High and dry : Climate change, water, and the economy, World Bank, Washington, DC. World Bank. Available at: https://openknowledge.worldbank.org/handle/10986/23665 License: CC BY 3.0 IGO.
  26. World Meteorological Organization (WMO) (2013). The global climate 2001-2010, a decade of extremes, World Meteorological Organization (WMO), Switzerland.
  27. Yoo, G. Y. and Kim, I. A. (2008). Development and application of a climate change vulnerability index, Korea Environment Institute (in Korean).