Acknowledgement
본 결과물은 환경부의 재원으로 한국환경산업기술원의 가뭄대응 물관리 혁신기술개발사업의 지원을 받아 연구되었습니다(RS-2022-KE002032).
References
- Alodah, A., and Seidou, O. (2019). "Assessment of climate change impacts on extreme high and low flows: An improved bottom-up approach." Water, Vol. 11, No. 6, 1236. https://doi.org/10.3390/w11061236
- An, J.S. (2020). "Efforts to overcome permanent drought in agriculture", Water for Future, Vol. 53, pp. 80-84. (in Korean)
- Apipattanavis, S., Podesta, G., Rajagopalan, B., and Katz, R.W. (2007). "A semiparametric multivariate and multisite weather generator." Water Resources Research, Vol. 43, No. 11, w11401.
- Board of Audit and Inspection (BAI) (2023). Audit report - Climate crisis adaptation and response status I (water and food sector).
- Bouchet, R. (1963). "Evapotranspiration reelle at potentielle, signification climatique." International Association of Hydrological Sciences, Vol. 62, pp. 134-142.
- Broderick, C., Murphy, C., Wilby, R.L., Matthews, T., Prudhomme, C., and Adamson, M. (2019). "Using a scenario neutral framework to avoid potential maladaptation to future flood risk." Water Resources Research, Vol. 55, No. 2, pp. 1079-1104. https://doi.org/10.1029/2018WR023623
- Brown, C., Ghile, Y., Laverty, M., and Li, K. (2012). "Decision scaling: Linking bottom-up vulnerability analysis with climate projections in the water sector." Water Resources Research, Vol. 48, No. 9, W09537.
- Guo, D., Westra, S., and Maier, H.R. (2017). "Use of a scenarioneutral approach to identify the key hydrometeorological attributes that impact runoff from a natural catchment." Journal of Hydrology, Vol. 554, pp. 317-330. https://doi.org/10.1016/j.jhydrol.2017.09.021
- Intergovernmental Panel on Climate Change (IPCC). (2018). Summary for policymakers. In: Global warming of 1.5℃. an IPCC special report on the impacts of global warming of 1.5℃ above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. Cambridge University Press, Cambridge, UK and New York, NY, U.S., pp. 3-24.
- Jung, J., Park, D.H., and Ann, J. (2020). "Drought evaluation using unstructured data: A case study for Boryeong area." Journal of Korea Water Resources Association, Vol. 53, No. 12, pp. 1203-1210. (in Korean)
- Jung, W.H., Noh, S.H., and Kim, Y,I. (2016). A study on the water supply capacity evaluation and drought response plan of Boryeong Dam. ChungNam Institute. (in Korean)
- Kim, D., Kim, E., Lee, S.C., Kim, E., and Shin, J. (2022). "A decision-centric impact assessment of operational performance of the Yongdam Dam, South Korea." Journal of Korea Water Resources Association, Vol. 55, No. 3, pp. 205-215. (in Korean)
- Kim, D., Lee, W.S., Kim, S.T., and Chun, J.A. (2019). "Historical drought asessment over the contiguous united states using the generalized complementary principle of evapotranspiration." Water Resources Research, Vol. 55, No. 7, pp. 6244-6267. https://doi.org/10.1029/2019WR024991
- Kim, H., Kim, J.E., Kim, J., Yoo, J., and Kim, T.W. (2023a). "Evaluation of future hydrologic risk of drought in Nakdong River basin using Bayesian classification-based composite drought index." KSCE Journal of Civil and Environmental Engineering Research, Vol. 43, No. 3, pp. 309-319. (in Korean)
- Kim, J., Seo, S.B., and Cho, J. (2023b). "Development of a decision scaling framework for drought vulnerability assessment of dam operation under climate change." Journal of Korea Water Resources Association, Vol. 56, No. 4, pp. 273-284. (in Korean)
- Kim, J.E., Yu, J.S., Lee, J.H., and Kim, T.W. (2018). "Drought risk analysis in Seoul using Cheugugi and climate change scenario based rainfall data." KSCE Journal of Civil and Environmental Engineering Research, Vol. 38, No. 3, pp. 387-393. (in Korean)
- Korea Meteorological Administration (KMA) (2023a). Republic of Korea, accessed 6 November 2023, <https://hydro.kma.go.kr/front/intro.do>.
- Korea Meteorological Administration (KMA) (2023b). Open MET Data Portal, accessed 6 November 2023, <https://data.kma.go.kr/cmmn/main.do>.
- Kwon, H.H., Lall, U., and Khalil, A.F. (2007). "Stochastic simulation model for nonstationary time series using an autoregressive wavelet decomposition: Applications to rainfall and temperature." Water Resources Research, Vol. 43, No. 5, W05407.
- Kwon, Y.M., and Kim, T.W. (2009). "Derived I-D-F curve in Seoul using Bivariate precipitation frequency analysis." KSCE Journal of Civil and Environmental Engineering Research, Vol. 29, No. 2B, pp. 155-162. (in Korean)
- Lee, J.H., Park, S.Y., Kim, M.G., and Chung, I.M. (2021). "Hydrological drought analysis and monitoring using multiple drought indices: The case of Mulrocheon watershed." KSCE Journal of Civil and Environmental Engineering Research, Vol. 41, No. 5, pp. 477-484. (in Korean)
- Lee, S.S. (2016). Drought analysis by climate change scenario in Chungcheongnam-do. ChungNam Institute. (in Korean)
- National Institute of Meteorological Sciences (NIMS). (2020). Global climate change outlook report, climate change forecast based on 4 future scenarios. National Institute of Meteorological Sciences. (in Korean)
- Park, J.Y., Kim, J.E., Lee, J.H., and Kim, T.W. (2019). "Assessment of hydrologic risk of extreme drought according to RCP climate change scenarios using bivariate frequency analysis." KSCE Journal of Civil and Environmental Engineering Research, Vol. 39, No. 5, pp. 561-568. (in Korean)
- Prudhomme, C., Wilby, R.L., Crooks, S., Kay, A.L., and Reynard, N.S. (2010). "Scenario-neutral approach to climate change impact studies: Application to flood risk." Journal of Hydrology, Vol. 390, pp. 198-209. https://doi.org/10.1016/j.jhydrol.2010.06.043
- Shiau, J.T. (2003). "Return period of bivariate distributed extreme hydrological events." Stochastic Environmental Research and Risk Assessment, Vol. 17, pp.42-57. https://doi.org/10.1007/s00477-003-0125-9
- Steinschneider, S., and Brown, C. (2013). "A semiparametric multivariate, multisite weather generator with low-frequency variability for use in climate risk assessments." Water Resources Research, Vol. 49, No. 11, pp. 7205-7220. https://doi.org/10.1002/wrcr.20528
- Szilagyi, J. (2014). "Temperature corrections in the Priestley - Taylor equation of evaporation." Journal of Hydrology, Vol. 519, pp. 455-464. https://doi.org/10.1016/j.jhydrol.2014.07.040
- Vicente-Serrano, S.M., Begueria, S., and Lopez-Moreno, J.I. (2010). "A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index." Journal of Climate, Vol. 23, No. 7, pp. 1696-1718. https://doi.org/10.1175/2009JCLI2909.1
- Wahla, S.S., Kazmi, J.H., Sharifi, A., Shirazi, S.A., Tariq, A., and Joyell Smith, H. (2022). "Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models." Geocarto International, Vol. 37, No. 27, pp. 14963-14982. https://doi.org/10.1080/10106049.2022.2093411
- Yevjevich, V. (1967). An objective approach to definitions and investigations of continental hydrologic droughts. Hydrology Papers, Colorado State University, Fort Collins, CO, U.S., pp. 4-18.
- Yu, J.S., Shin, J.Y., Kwon, M. and Kim, T.W. (2017). "Bivariate drought frequency analysis to evaluate water supply capacity of multi-purpose dams." KSCE Journal of Civil and Environmental Engineering Research, Vol. 37, No. 1, pp. 231-238. (in Korean)