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http://dx.doi.org/10.3741/JKWRA.2018.51.S-1.1149

Flood damage cost projection in Korea using 26 GCM outputs  

Kim, Myojeong (School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University)
Kim, Gwangseob (School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University)
Publication Information
Journal of Korea Water Resources Association / v.51, no.spc, 2018 , pp. 1149-1159 More about this Journal
Abstract
This study aims to predict the future flood damage cost of 113 middle range watersheds using 26 GCM outputs, hourly maximum rainfall, 10-min maximum rainfall, number of days of 80 mm/day, daily rainfall maximum, annual rainfall amount, DEM, urbanization ratio, population density, asset density, road improvement ratio, river improvement ratio, drainage system improvement ratio, pumping capacity, detention basin capacity and previous flood damage costs. A constrained multiple linear regression model was used to construct the relationships between the flood damage cost and other variables. Future flood damage costs were estimated for different RCP scenarios such as 4.5 and 8.5. Results demonstrated that rainfall related factors such as annual rainfall amount, rainfall extremes etc. widely increase. It causes nationwide future flood damage cost increase. Especially the flood damage cost for Eastern part watersheds of Kangwondo and Namgang dam area may mainly increase.
Keywords
Flood damage cost; Constrained Multiple Linear Regression; RCP Scenarios; GCM;
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Times Cited By KSCI : 7  (Citation Analysis)
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1 Kim, J. H., Han, K. Y., and Seo, K. W. (2003). "Application of Uncertainty Method fer Analyzing Flood Inundation in a River." Journal of Korea Water Resources Association, Vol. 36, No. 4, pp. 661-671. (in Korean)   DOI
2 Kim, J., Choi, C., and Yi, J. (2011). "Development of Flood control Effect Index by Using Fuzzy Set Theory." Journal of the Korean Society of Civil Engineers B, Vol. 31, No. 5A, pp. 415-429. (in Korean)
3 Kim, M., and Kim G. (2018). "Analysis of the Applicability of Flood Risk Indices According to Flood Damage Types." Journal of the Korean Society of Civil Engineers, Vol. 38, No. 1, pp. 29-39. (in Korean)   DOI
4 Kim, T. H., Han, K. Y., and Cho, W. H. (2011). "Vulnerability Analysis in the Nakdong River Basin for the Utilization of Flood Risk Mapping." Journal of the Korean Association of Geographic Information Studies, Vol. 14, No. 3, pp. 203-222. (in Korean)   DOI
5 Lee, M. W., Kim, T. W., and Moon, G. W. (2013). "Assessment of Flood Damage Vulnerability Considering Regional Flood Damage Characteristics in South Korea." Journal of The Korean Society of Hazard Mitigation, Vol. 13, No. 4, pp.245-256. (in Korean)   DOI
6 Masood, M., and Takeuchi, K. (2012). "Assessment of flood hazard, vulnerability and risk of mid-eastern Dhaka using DEM and 1D hydrodynamic model." Natural hazards, Vol. 61, No. 2, pp. 757-770.   DOI
7 OECD (1993). OECD core set of indicators for environmental performance reviews. OECD Environment Monographs, No. 83.
8 Park, M., Song, Y., Joo, J., and Park, M. (2013). "A Study on Urban Flood Vulnerability Assessment." Journal of The Korean Society of Hazard Mitigation, Vol. 13, No. 5, pp. 297-305. (in Korean)   DOI
9 Sung, J. H., Baek, H. J., Kang, H. S., and Kim, Y. O. (2012). "The Assessment of Future Flood Vulnerability for Seoul Region." Journal of Wetlands Research, Vol. 14, No. 3, pp. 341-352. (in Korean)   DOI
10 Yoon, S. K., Kim, J. S., and Moon, Y. I. (2014). "Integrated flood risk analysis in a changing climate: A case study from the Korean Han River Basin." KSCE Journal of Civil Engineering, Vol. 18, No. 5, pp. 1563-1571. (in Korean)   DOI
11 Zachos, L. G., Swann, C. T., Altinakar, M. S., McGrath, M. Z., and Thomas, D. (2016). "Flood vulnerability indices and emergency management planning in the Yazoo Basin, Mississippi." International Journal of Disaster Risk Reduction, Vol. 18, pp. 89-99.   DOI
12 Jun, K. S., Chung, E. S., Kim, Y. G., and Kim, Y. (2013). "A fuzzy multi-criteria approach to flood risk vulnerability in South Korea by considering climate change impacts." Expert Systems with Applications, Vol. 40, No. 4, pp. 1003-1013.   DOI
13 Aronica, G. T., Franza, F., Bates, P. D., and Neal, J. C. (2012). "Probabilistic evaluation of flood hazard in urban areas using Monte Carlo simulation." Hydrological Processes, Vol. 26, No. 26, pp. 3962-3972.   DOI
14 EEA (1999). Environmental indicators: typology and overview. Technical report No. 25.
15 Ettinger, S., Mounaud, L., Magill, C., Yao-Lafourcade, A. F., Thouret, J. C., Manville, V., Negulescu, C., Zuccaro, G., Gregorio, D. D., Nardone, S., Uchuchoque, J. A. L., Arguedas, A., and Macedo, L. (2016). "Nelida Manrique Llerena I Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression." Journal of Hydrology, Vol. 541, pp. 553-562.   DOI
16 Hatzikyriakou, A., and Lin, N. (2017). "Simulating storm surge waves for structural vulnerability estimation and flood hazard mapping." Natural Hazards, Vol. 89, pp. 939-962.   DOI
17 IPCC (2007). 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.
18 Kandilioti, G., and Makropoulos, C. (2012). "Preliminary flood risk assessment: the case of Athens." Natural hazards, Vol. 61, No. 2, pp. 441-468.   DOI
19 Kim, H. S., Park, G. J., Kim, S. D., Choi, M. H., Park, M. J., and Yoon, J. Y. (2012). "Assessment of Flood Vulnerability Considering Climate Change and Large-Scale River Restoration Project." Journal of The Korean Society of Hazard Mitigation, Vol. 12, No. 2, pp. 107-113. (in Korean)   DOI