연구동향 분석
박사

농업용 저수지의 신뢰성 기반 홍수 위험도 평가 기법 개발 및 기후변화 적용

박지훈 2016년

논문상세정보
인용/피인용
' 농업용 저수지의 신뢰성 기반 홍수 위험도 평가 기법 개발 및 기후변화 적용' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 조경법
  • 기후변화
  • 농업용 저수지
  • 리샘플링
  • 설계홍수량 설계 기준
  • 수문순환
  • 신뢰성해석
  • 홍수 위험도
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,965 0

0.0%

' 농업용 저수지의 신뢰성 기반 홍수 위험도 평가 기법 개발 및 기후변화 적용' 의 참고문헌

  • de Risi, R., Jalayer, F., de Paola, F., Iervolino, I., Giugni, M., Topa, M.E., Mbuya, E., Kyessi, A., Manfredi, G., Gasparini, P., 2013. Flood risk assessment for informal settlements. Nat. Hazards 69, 1003–1032. doi:10.1007/s11069-013-0749-0
  • Wu, S.J., Yang, J.C., Tung, Y.K., 2011. Risk analysis for flood-control structure under consideration of uncertainties in design flood. Nat. Hazards 58, 117–140. doi:10.1007/s11069-010-9653-z
  • Wang, S., Huang, G.H., 2016. Risk-based factorial probabilistic inference for optimization of flood control systems with correlated uncertainties. Eur. J. Oper. Res. 249, 258–269. doi:10.1016/j.ejor.2015.08.023
  • Vorogushyn, S., Lindenschmidt, K.E., Kreibich, H., Apel, H., Merz, B., 2012. Analysis of a detention basin impact on dike failure probabilities and flood risk for a channel-dike-floodplain system along the river Elbe, Germany. J. Hydrol. 436-437, 120–131. doi:10.1016/j.jhydrol.2012.03.006
  • Van Der Most, H., Wehrung, M., 2005. Dealing with uncertainty in flood risk assessment of dike rings in the Netherlands. Nat. Hazards 36, 191–206. doi:10.1007/s11069-004-4548-5
  • USACE (US Army Corps of Engineers), 1998b. HEC-5 simulation of flood control and conservation systems.
  • USACE (US Army Corps of Engineers), 1998a. HEC-1 flood hydrograph package.
  • UNISDR, 2015. UNISDR (the United Nations Office for Disaster Risk Reduction). http://www.unisdr.org/ (accessed 16.02.15).
  • UNFCCC, 2013. The State of Adaptation under the United Nations Framework Convention on Climate Change 2013 Thematic Report.
  • UN (United Nations), 2015. Resolution adopted by the General Assembly on 25 September 2015.
  • Tariq, M.A.U.R., 2013. Risk-based flood zoning employing expected annual damages: The Chenab River case study. Stoch. Environ. Res. Risk Assess. 27, 1957–1966. doi:10.1007/s00477-013-0730-1
  • Steinschneider, S., Wi, S., Brown, C., 2015. The integrated effects of climate and hydrologic uncertainty on future flood risk assessments. Hydrol. Process. 2839, 2823–2839. doi:10.1002/hyp.10409
  • Solomon, S., Plattner, G.-K.G., Knutti, R., Friedlingstein, P., 2009. Irreversible climate change due to carbon dioxide emissions. Proc. Natl. Acad. Sci. U. S. A. 106, 1704–9. doi:10.1073/pnas.0812721106
  • Soldini, L., Antuono, M., Brocchini, M., 2013. Numerical Modeling of the In fl uence of the Beach Pro fi le on Wave Run-Up. J. Waterw. Port, Coast. Ocean Eng. 61, 61–71. doi:10.1061/(ASCE)WW.1943-5460.0000163.
  • Shao-Hong, W., Tao, P., Shan-Feng, H., 2012. Climate Change Risk Research: A Case Study on Flood Disaster Risk in China. Adv. Clim. Chang. Res. 3, 92–98. doi:10.3724/SP.J.1248.2012.00092
  • Ruiz Villanueva., V., Diez Herrero, A., Bodoque Del Pozo, J.M., Blade Castellet, E., Sanchez Juny, M., 2015. Large wood transport influence on flash flood risk in a mountain village in central spain. Eng. Geol. Soc. Territ. - Vol. 3 River Basins, Reserv. Sediment. Water Resour. 123–126. doi:10.1007/978-3-319-09054-2_23
  • Purvis, M.J., Bates, P.D., Hayes, C.M., 2008. A probabilistic methodology to estimate future coastal flood risk due to sea level rise. Coast. Eng. 55, 1062–1073. doi:10.1016/j.coastaleng.2008.04.008
  • Park, J., Kang, M.S., Song, I., Hwang, S.H., Song, J.-H., 2013. Development of IDF Curves Based on RCP4.5 Scenario for 30-Reservoirs in South Korea. J. Korean Soc. Hazard Mitig. 13, 145–159. doi:10.9798/KOSHAM.2013.13.6.145
  • Park, J., Kang, M.S., Song, I., 2012. Bias correction of RCP-based future extreme precipitation using a quantile mapping method ; for 20-weather stations of South Korea. J. Korean Soc. Agric. Eng. 54, 133–142. doi:10.5389/KSAE.2012.54.6.133
  • Park, J., Kang, M.S., Song, I. 2015. Assessment of flood vulnerability based on CMIP5 climate projections in South Korea. J. Am. Water Resour. Assoc. 51, 859–876. doi:10.1111/jawr.12283
  • Nillesen, A.L., Kok, M., 2015. An integrated approach to flood risk management and spatial quality for a Netherlands??? river polder area. Mitig. Adapt. Strateg. Glob. Chang. 20, 949–966. doi:10.1007/s11027-015-9675-7
  • Netherlands, 2016. Flood Tags. https://www.floodtags.com/ (accessed 16.03.17).
  • Naulin, M., Kortenhaus, A., Oumeraci, H., 2015. Reliability-based flood defense analysis in an integrated risk assessment. Coast. Eng. J. 57, 1540005. doi:10.1142/S0578563415400057
  • Nandalal, H.K., Ratnayake, U.R., 2011. Flood risk analysis using fuzzy models. J. Flood Risk Manag. 4, 128–139. doi:10.1111/j.1753-318X.2011.01097.x
  • Nam, W.H., 2013. Sustainability and operations evaluation of agricultural reservoirs based on probability theory. Ph.D. diss., Seoul National University.
  • NIMS (National Institute of Meteorological Sciences), 2011. Climate Change Scenario Report for IPCC AR5. 11-1360395-000233-01. National Institute of Meteorological Research, Climate Research Division, Seoul, Republic of Korea.
  • NDMI (National Disaster Management Institute), 2011. Development of Community-Based Flood Disaster Risk Reduction Index. 11-1311526-000028-14. National Disaster Management Institute, Seoul, Republic of Korea.
  • Muir Wood, R., Drayton, M., Berger, A., Burgess, P., Wright, T., 2005. Catastrophe loss modelling of storm-surge flood risk in eastern England. Philos. Trans. A. Math. Phys. Eng. Sci. 363, 1407–1422. doi:10.1098/rsta.2005.1575
  • Moss, R.H., Brenkert, A.L., Malone, E.L., 2001. Vulnerability to climate change. A quantitative approach, 8-18. PNNL-SA-33642. U.S. Department of Energy.
  • Moss, R., Babiker, M., Brinkman, S., Calvo, E., Carter, T., Edmonds, J., Elgizouli, I., Emori, S., Erda, L., Hibbard, K., Jones, R., Kainuma, M., Kelleher, J., Lamarque, J.F., Manning, M., Matthews, B., Meehl, J., Meyer, L., Mitchell, J., Nakicenovic, N., O'Neill, B., Pichs, R., Riahi, K., Rose, S., Runci, P., Stouffer, R., Van Vuuren, D., Weyant, J., Wilbanks, T., Van Ypersele, J.P., Zurek, M., 2008. Towards new scenarios for analysis of emissions, climate change, impacts, and response strategies. technical summary. Intergovernmental Panel on Climate Change, Geneva.
  • McMillan, H.K., Brasington, J., 2008. End-to-end flood risk assessment: A coupled model cascade with uncertainty estimation. Water Resour. Res. 44, 1–14. doi:10.1029/2007WR005995
  • MPSS (Ministry of Public Safety and Security), 2016. National disaster information center. http://www.safekorea.go.kr/ (accessed 16.03.17).
  • MPSS (Ministry of Public Safety and Security), 2014. Disaster annual report.
  • MOLIT (Ministry of Land, Infrastructure and Transport), 2012. Calculation of design flood.
  • MOLIT (Ministry of Land, Infrastructure and Transport), 2011. Long-Term Comprehensive Water Plan (2011-2020). 11-1611000-002114-13. Ministry of Land, Infrastructure and Transport, Sejong, Republic of Korea.
  • ME (Ministry of Environment), 2012. Vulnerability Map by Sector to Climate Change. Ministry of Environment, Sejong, Republic of Korea.
  • MARFA (Ministry of Agriculture, Food and Rural Affairs), 2012. Agricultural infrastructure design standards.
  • MAFRA and KRC (Ministry of Agriculture, Food and Rural Affairs and Korea Rural Community Corporation), 2014. Statistical yearbook of land and water development for agriculture.
  • Lu, Y., Qin, X.S., Xie, Y.J., 2016. An integrated statistical and data-driven framework for supporting flood risk analysis under climate change. J. Hydrol. 533, 28–39. doi:10.1016/j.jhydrol.2015.11.041
  • Lind, N., Pandey, M., Nathwani, J., 2009. Assessing and affording the control of flood risk. Struct. Saf. 31, 143–147. doi:10.1016/j.strusafe.2008.06.013
  • Koivum ki, L., Alho, P., Lotsari, E., K yhk , J., Saari, A., Hyypp , H., 2010. Uncertainties in flood risk mapping: A case study on estimating building damages for a river flood in Finland. J. Flood Risk Manag. 3, 166–183. doi:10.1111/j.1753-318X.2010.01064.x
  • Koh, K.J., 2009. A Study on Vulnerability Assessment to Climate Change in Gyeonggi-Do. Gyeonggi Research Institute, Suwon, Republic of Korea.
  • Kaufman, D.S., Schneider, D.P., Mckay, N.P., Ammann, C.M., Bradley, R.S., Briffa, K.R., Miller, G.H., Otto-bliesner, B.L., Overpeck, J.T., Vinther, B.M., Arctic Lakes 2k Project Members, 2009. Recent warming reverses long-term arctic cooling. Science. 325, 1236–1239.
  • Kapur, K.C., Lamberson, L.R., 1977. Reliability in engineering design. Wiley.
  • Kang, M.S., 2002. Development of total maximum daily loads simulation system using artificial neural networks for satellite data analysis and nonpoint source pollution models. Ph.D. diss., Seoul National University.
  • KRCC (Korea Rural Community Corporation), 2012e. Emergency action plan (Naju).
  • KRCC (Korea Rural Community Corporation), 2012d. Emergency action plan (Suyang).
  • KRCC (Korea Rural Community Corporation), 2012c. Emergency action plan (Gwangju).
  • KRCC (Korea Rural Community Corporation), 2012b. Emergency action plan (Damyang).
  • KRCC (Korea Rural Community Corporation), 2012a. Emergency action plan (Tapjeong).
  • KRCC (Korea Rural Community Corporation), 2011c. Emergency action plan (Deokyong).
  • KRCC (Korea Rural Community Corporation), 2011b. Emergency action plan (Chupyeong).
  • KRCC (Korea Rural Community Corporation), 2011a. Emergency action plan (Yongdang).
  • KRCC (Korea Rural Community Corporation), 2010n. Reservoir hydrological research synthesis report.
  • KRCC (Korea Rural Community Corporation), 2010m. Master plan (Naju).
  • KRCC (Korea Rural Community Corporation), 2010l. Master plan (Suyang).
  • KRCC (Korea Rural Community Corporation), 2010k. Master plan (Jangseong).
  • KRCC (Korea Rural Community Corporation), 2010j. Master plan (Gwangju).
  • KRCC (Korea Rural Community Corporation), 2010i. Master plan (Damyang).
  • KRCC (Korea Rural Community Corporation), 2010h. Master plan (Deokyong).
  • KRCC (Korea Rural Community Corporation), 2010g. Master plan (Tapjeong).
  • KRCC (Korea Rural Community Corporation), 2010f. Master plan (Yongdang).
  • KRCC (Korea Rural Community Corporation), 2010e. Emergency action plan (Boksim).
  • KRCC (Korea Rural Community Corporation), 2010d. Emergency action plan (Gyeryong).
  • KRCC (Korea Rural Community Corporation), 2010c. Emergency action plan (Dorim).
  • KRCC (Korea Rural Community Corporation), 2010b. Emergency action plan (Junam, Gawol).
  • KRCC (Korea Rural Community Corporation), 2010a. Emergency action plan (Jamgok).
  • KRCC (Korea Rural Community Corporation), 2009e. Master plan (Boksim).
  • KRCC (Korea Rural Community Corporation), 2009d. Master plan (Gyeryong).
  • KRCC (Korea Rural Community Corporation), 2009c. Master plan (Dorim).
  • KRCC (Korea Rural Community Corporation), 2009b. Master plan (Chupyeong).
  • KRCC (Korea Rural Community Corporation), 2009a. Emergency action plan (Geumo, Daeseong, Obong, Dowon, Dalchang).
  • KRCC (Korea Rural Community Corporation), 2008b. Emergency action plan (Yonggye, Mugeuk, Geumseok).
  • KRCC (Korea Rural Community Corporation), 2008a. Emergency action plan (Baegun, Yongseol).
  • KRCC (Korea Rural Community Corporation), 2007b. Emergency action plan (Bansan).
  • KRCC (Korea Rural Community Corporation), 2007a. Emergency action plan (Onam, Maji, Aeryong).
  • KRCC (Korea Rural Community Corporation), 2006. Emergency action plan (Dongbu).
  • KOSTAT (Statistics Korea), 2012. Population projections for Korea : 2010~2060 (based on the 2010 census). 11-1240000-000125-13. Statistics Korea, Daejeon, Republic of Korea.
  • KISTEC, 2011. Detailed instructions handbook for safety inspection and precision safety diagnosis (dam). MOLIT.
  • Jung, J.H., Yoon, Y.N., 2009. Water resources design practice. Seoul: Gumi.
  • Ichikawa, M., 1993. A meaning of the overlapped area under probability density curves of stress and strength. Reliab. Eng. Syst. Saf. 41, 203–204. doi:10.1016/0951-8320(93)90033-U
  • IPCC (Intergovernmental Panel on Climate Change), 2014c. Climate Change 2014: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom.
  • IPCC (Intergovernmental Panel on Climate Change), 2014b: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Field, C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and L.L.White (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1132 pp.
  • IPCC (Intergovernmental Panel on Climate Change), 2014a. 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, 151 pp.
  • IPCC (Intergovernmental Panel on Climate Change), 2013. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp.
  • IPCC (Intergovernmental Panel on Climate Change), 2012. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change [Field, C.B., V. Barros, T.F. Stocker, D. Qin, D.J. Dokken, K.L. Ebi, M.D. Mastrandrea, K.J. Mach, G.-K. Plattner, S.K. Allen, M. Tignor, and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, UK, and New York, NY, USA, 582 pp.
  • IPCC (Intergovernmental Panel on Climate Change), 2007b. Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom, ISBN-13: 978-0521880107
  • IPCC (Intergovernmental Panel on Climate Change), 2007a. 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, ISBN-13: 978-0521880091
  • Huh, M.-H., 2014. Applied Data Analysis Using R. Freeacademy.
  • Hsu, W.-K., Huang, P.-C., Chang, C.-C., Chen, C.-W., Hung, D.-M., Chiang, W.-L., 2011. An integrated flood risk assessment model for property insurance industry in Taiwan. Nat. Hazards 58, 1295–1309. doi:10.1007/s11069-011-9732-9
  • Hartmann, T., Spit, T., 2016. Legitimizing differentiated flood protection levels - Consequences of the European flood risk management plan. Environ. Sci. Policy 55, 361–367. doi:10.1016/j.envsci.2015.08.013
  • Goodarzi, E., Mirzaei, M., Ziaei, M., 2012. Evaluation of dam overtopping risk based on univariate and bivariate flood frequency analyses. Can. J. Civ. Eng. 387, 374–387. doi:10.1139/L2012-012
  • Ganguli, P., Reddy, M.J., 2013. Probabilistic assessment of flood risks using trivariate copulas. Theor. Appl. Climatol. 111, 341– 360. doi:10.1007/s00704-012-0664-4
  • Feldman, D., Contreras, S., Karlin, B., Basolo, V., Matthew, R., Sanders, B., Houston, D., Cheung, W., Goodrich, K., Reyes, A., Serrano, K., Schubert, J., Luke, A., 2016. Communicating flood risk: Looking back and forward at traditional and social media outlets. Int. J. Disaster Risk Reduct. 15, 43–51. doi:10.1016/j.ijdrr.2015.12.004
  • European Union, 2007. Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks, Official Journal of the European Union.
  • Efron, B, Tibshirani, R.J., 1994. An introduction to the bootstrap, Monographs on Statistics and Applied Probability 57. Chapman and Hall/CRC, New York.
  • Demeritt, D., Cloke, H., Pappenberger, F., Thielen, J., Bartholmes, J., Ramos, M.H., 2007. Ensemble predictions and perceptions of risk, uncertainty, and error in flood forecasting. Environ. Hazards 7, 115– 127. doi:10.1016/j.envhaz.2007.05.001
  • Dale, M., Wicks, J., Mylne, K., Pappenberger, F., Laeger, S., Taylor, S., 2014. Probabilistic flood forecasting and decision-making: An innovative risk-based approach. Nat. Hazards 70, 159–172. doi:10.1007/s11069-012-0483-z
  • DHS (Department of Homeland Security), 2016. FEMA (Federal Emergency Management Agency). https://www.fema.gov/ (accessed 16.03.17).
  • Communities and local government, 2010. Planning policy statement 25: development and flood risk..
  • Climatic Research Unit (CRU). 2005. STARDEX Final Report. Climatic Research Unit, Norwich, United Kingdom.
  • Bong, T.H., 2014. Reliability analysis in geotechnical engineering considering non-parametric transformation and spatial variability. Ph.D. diss., Seoul National University.
  • Bianucci, P., Sordo-Ward, A., P rez, J.I., Garc a-Palacios, J., Mediero, L., Garrote, L., 2013. Risk-based methodology for parameter calibration of a reservoir flood control model. Nat. Hazards Earth Syst. Sci. 13, 965–981. doi:10.5194/nhess-13-965-2013
  • Belousova, a. P., 2011. Risk assessment of underflooding of areas by groundwater during floods. Water Resour. 38, 39–46. doi:10.1134/S009780781005101X
  • Apel, H., Thieken, A.H., Merz, B., Bl schl, G., 2006. A probabilistic modelling system for assessing flood risks. Nat. Hazards 38, 79–100. doi:10.1007/s11069-005-8603-7
  • Apel, H., Thieken, A.H., Merz, B., Bl schl, G., 2004. Flood risk assessment and associated uncertainty. Nat. Hazards Earth Syst. Sci. 4, 295–308. doi:10.5194/nhess-4-295-2004
  • Apel, H., Merz, B., Thieken, A.H., 2008. Quantification of uncertainties in flood risk assessments. Int. J. River Basin Manag. 6, 149–162. doi:10.1080/15715124.2008.9635344
  • Alfieri, L., Feyen, L., Dottori, F., Bianchi, A., 2015. Ensemble flood risk assessment in Europe under high end climate scenarios. Glob. Environ. Chang. 35, 199–212. doi:10.1016/j.gloenvcha.2015.09.004
  • Ahmad, S.S., Simonovic, S.P., 2011. A three-dimensional fuzzy methodology for flood risk analysis. J. Flood Risk Manag. 4, 53– 74. doi:10.1111/j.1753-318X.2011.01090.x
  • Abdellatif, M., Atherton, W., Alkhaddar, R., Osman, Y., 2015. Flood risk assessment for urban water system in a changing climate using artificial neural network. Nat. Hazards 79, 1059–1077. doi:10.1007/s11069-015-1892-6
  • Abbas, A., Amjath-Babu, T.S., K chele, H., Usman, M., M ller, K., 2015. An overview of flood mitigation strategy and research support in South Asia: implications for sustainable flood risk management. Int. J. Sustain. Dev. World Ecol. 23, 98–111. doi:10.1080/13504509.2015.1111954