Enhancing Flood Risk Assessment and Mitigation through Numerical Modeling: A Case Study
Abstract
Evaluation of dike-break-induced flood risk has been a worldwide concern due to its enormous economic, environmental, and societal importance. The mitigation of flood risk in detention basins is a complex decision making process that could span multiple engineering and scientific disciplines. In this paper, an integrated dike-break-induced flood modeling, analysis, and management framework is proposed. The MIKE21-based numerical approach is first adopted to model the flood routing process in detention basins. With the physical behavior of the flood well understood, physics-informed approaches are proposed to better quantify the dike-break-induced flood risks, e.g., human life, economic and environmental losses, offering valuable information for engineers and policymakers to formulate targeted contingency plans. The Zhuhu detention basin in the Poyang Lake district in China is investigated using the proposed framework. The flood movement in the detention basin is first numerically simulated using the MIKE21-based model. Based on the results, i.e., inundation area, water depth, flow velocity, and arrival time of flood peak, the detention basin is divided into several flood disaster zones. The induced flood risks are then estimated for the different zones. Customized emergency evacuation plans are also formulated for the different flood disaster zones. The study of the Zhuhu detention basin confirms that the proposed framework effectively fuses numerical modeling, physics-informed analysis, and management of flood events, providing an integrated and enhanced decision making process for flood warning and risk mitigation in flood detention basins or at other places.
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Data Availability Statement
All data that supports the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (Project Nos. 41867036, 41972280, 52179103, 52222905, 42272326) and Open Research Fund of Jiangxi Academy of Water Science and Engineering (Project No. 2021SKSG02). The financial supports are gratefully acknowledged.
References
Bladé, E., M. Gómez-Valentín, J. Dolz, J. L. Aragón-Hernández, G. Corestein, and M. Sánchez-Juny. 2012. “Integration of 1D and 2D finite volume schemes for computations of water flow in natural channels.” Adv. Water Resour. 42 (Jun): 17–29. https://doi.org/10.1016/j.advwatres.2012.03.021.
Brown, C. A., and W. J. Graham. 1988. “Assessing the threat to life from dam failure 1.” JAWRA J. Am. Water Resour. Assoc. 24 (6): 1303–1309. https://doi.org/10.1111/j.1752-1688.1988.tb03051.x.
Danka, J., and L. M. Zhang. 2015. “Dike failure mechanisms and breaching parameters.” J. Geotech. Geoenviron. Eng. 141 (9): 04015039. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001335.
DHI (Danish Hydraulic Institute). 2007. MIKE21: A modeling system for rivers and channels reference manual. Hørsholm, Denmark: DHI Water and Environment.
Fahad, M. G. R., R. Nazari, P. Bhavsar, M. Jalayer, and M. Karimi. 2019. “A decision-support framework for emergency evacuation planning during extreme storm events.” Transp. Res. Part D: Transp. Environ. 77 (Dec): 589–605. https://doi.org/10.1016/j.trd.2019.09.024.
Fahad, M. G. R., R. Nazari, M. H. Motamedi, and M. Karimi. 2022. “A decision-making framework integrating fluid and solid systems to assess resilience of coastal communities experiencing extreme storm events.” Reliab. Eng. Syst. Saf. 221 (May): 108388. https://doi.org/10.1016/j.ress.2022.108388.
Fahad, M. G. R., R. Nazari, M. H. Motamedi, and M. E. Karimi. 2020. “Coupled hydrodynamic and geospatial model for assessing resiliency of coastal structures under extreme storm scenarios.” Water Resour. Manage. 34 (3): 1123–1138. https://doi.org/10.1007/s11269-020-02490-y.
Graham, W. J. 1999. A procedure for estimating loss of life caused by dam failure. Denver: US Bureau of Reclamation.
Guo, F. 2016. Research and application of risk analysis and assessment of flood disasters in flood detention basin, 1–23. Beijing: Scientific Press.
Guo, F., Q. U. Hanfei, H. Zeng, P. Cong, and X. Geng. 2013. “Flood routing numerical simulation of flood storage area based on MIKE21 FM model.” [In Chinese.] Water Resour. Power 31 (5): 34–37.
Hanemann, M., J. Loomis, and B. Kanninen. 1991. “Statistical efficiency of double-bounded dichotomous choice contingent valuation.” Am. J. Agric. Econ. 73 (4): 1255–1263. https://doi.org/10.2307/1242453.
Islam, M. F., B. Bhattacharya, and I. Popescu. 2019. “Flood risk assessment due to cyclone-induced dike breaching in coastal areas of Bangladesh.” Nat. Hazards Earth Syst. Sci. 19 (2): 353–368. https://doi.org/10.5194/nhess-19-353-2019.
Jang, S. H., and S. W. Jung. 2012. “Flood routing simulation for dam failure time estimation.” In Proc., 2012 Int. Conf. on Systems and Informatics (ICSAI2012), 167–169. New York: IEEE.
Ji, W. 2017. Poyang Lake - Topography, hydrology and vegetation. Beijing: Science Press.
Jiang, S. H., Z. F. Huang, and J. Huang. 2020. “Dike-break induced flood simulation and consequences assessment in flood detention basin. In Proc., Int. Conf. on Embankment Dams, 295–310. Cham, Switzerland: Springer.
Khalafzai, M. A. K., T. K. McGee, and B. Parlee. 2021. “Spring flooding and recurring evacuations of Kashechewan First Nation, northern Ontario, Canada.” Int. J. Disaster Risk Reduct. 63 (Sep): 102443. https://doi.org/10.1016/j.ijdrr.2021.102443.
Kriström, B. 1997. “Spike models in contingent valuation.” Am. J. Agric. Econ. 79 (3): 1013–1023. https://doi.org/10.2307/1244440.
Li, D. X. 2011. “Multi-level fuzzy synthetic evaluation for dam failure based on stochastic simulation.” Master thesis, School of Civil and Hydraulic Engineering, Huazhong Univ. of Science and Technology.
Li, L., and K. Zhou. 2006. “Methods for evaluation of life loss induced by dam failure.” [In Chinese.] Adv. Sci. Technol. Water Resour 26 (2): 76–80.
Liu, Q., Y. Qin, Y. Zhang, and Z. Li. 2015. “A coupled 1D–2D hydrodynamic model for flood simulation in flood detention basin.” Nat. Hazards 75 (2): 1303–1325. https://doi.org/10.1007/s11069-014-1373-3.
Motamedi, M. H., A. Iranmanesh, and R. Nazari. 2018. “Quantitative assessment of resilience for earthen structures using coupled plasticity-damage model.” Eng. Struct. 172 (Jun): 700–711. https://doi.org/10.1016/j.engstruct.2018.06.050.
Nazari, R., H. Vasiliadis, M. Karimi, M. G. R. Fahad, S. Simon, T. Zhang, Q. Sun, and R. Peters. 2022. “Hydrodynamic study of the impact of extreme flooding events on wastewater treatment plants considering total water level.” Nat. Hazard. Rev. 23 (1): 04021056. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000531.
Pathan, A. I., and P. G. Agnihotri. 2021. “Application of new HEC-RAS version 5 for 1D hydrodynamic flood modeling with special reference through geospatial techniques: A case of River Purna at Navsari, Gujarat, India.” Model. Earth Syst. Environ. 7 (2): 1133–1144. https://doi.org/10.1007/s40808-020-00961-0.
Piers, M. 1998. “Methods and models for the assessment of third party risk due to aircraft accidents in the vicinity of airports and their implications for societal risk.” In Quantified societal risk and policy making, 166–204. Boston: Springer.
Qiang, Z., L. Li, and Q. Hui. 2019. “Flood disaster evaluation based on adaptive fuzzy clustering iterative model and hybrid differential evolution algorithm.” Water Supply 19 (6): 1619–1629. https://doi.org/10.2166/ws.2019.034.
Roger, S., B. J. Dewals, S. Erpicum, D. Schwanenberg, H. Schüttrumpf, J. Köngeter, and M. Pirotton. 2009. “Experimental and numerical investigations of dike-break induced flows.” J. Hydraul. Res. 47 (3): 349–359. https://doi.org/10.1080/00221686.2009.9522006.
Shi, G., H. Zhu, H. Xun, and Z. Li. 1998. “Study on reservoir dam-break loss and its calculation methods.” [In Chinese.] J. Catastrophology 13 (4): 28–33.
Sidek, L. M., A. S. Jaafar, W. H. A. Majid, W. A. H. Basri, M. Marufuzzaman, M. M. Fared, and W. C. Moon. 2021. “High-resolution hydrological-hydraulic modeling of urban floods using InfoWorks ICM.” Sustainability 13 (18): 10259. https://doi.org/10.3390/su131810259.
Song, J. W., and S. S. Park. 2004. “Roughness characteristics and velocity profile in vegetated and nonvegetated channels.” [In Korean.] KSCE J. Civ. Environ. Eng. Res. 24 (6B): 545–552.
Song, J. X., and X. F. He. 2008. “Discussion on analysis method for risk of life loss caused by dam failure in China.” [In Chinese.] J. Hohai Univ. Nat. Sci. 36 (5): 628–633.
Vorogushyn, S., K. E. Lindenschmidt, H. Kreibich, H. Apel, and B. Merz. 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 (May): 120–131. https://doi.org/10.1016/j.jhydrol.2012.03.006.
Vorogushyn, S., B. Merz, and H. Apel. 2009. “Development of dike fragility curves for piping and micro-instability breach mechanisms.” Nat. Hazards Earth Syst. Sci. 9 (4): 1383–1401. https://doi.org/10.5194/nhess-9-1383-2009.
Zhang, S., and Y. Tan. 2014. “Risk assessment of earth dam overtopping and its application research.” Nat. Hazards 74 (2): 717–736. https://doi.org/10.1007/s11069-014-1207-3.
Zhang, W., J. Zhou, Y. Liu, X. Chen, and C. Wang. 2016. “Emergency evacuation planning against dike-break flood: A GIS-based DSS for flood detention basin of Jingjiang in central China.” Nat. Hazards 81 (2): 1283–1301. https://doi.org/10.1007/s11069-015-2134-7.
Zhang, X., Y. Liu, X. Xu, J. Wu, and Q. Feng. 2018. “Influence of the application of Zhuhu flood storage and detention area on Poyang lake wetland park project.” [In Chinese.] People’s Yangtze River 49 (10): 21–25.
Zhou, K. F. 2006. “Study on the analysis method for loss of life due to dam breach.” [In Chinese.] Master thesis, Nanjing Hydraulic Research Institute.
Zhu, S., Y. Yu, F. Yu, J. Liu, and Z. You. 2018. “Flood routing simulation of Dongting lakeshore plain city based on MIKE21 FM model.” [In Chinese.] J. Water Resour. Water Eng. 29 (2): 132–138.
Zolghadr, M., M. R. Hashemi, and E. Z. Hosseinipour. 2010. “Modeling of flood wave propagation through levee breach using MIKE21, a case study in Helleh River, Iran.” In Proc., World Environmental and Water Resources Congress 2010: Challenges of Change, 2683–2693. https://doi.org/10.1061/41114(371)276.
Zolghadr, M., M. R. Hashemi, and S. M. A. Zomorodian. 2011. “Assessment of MIKE21 model in dam and dike-break simulation.” Iran. J. Sci. Technol., Trans. B: Eng. 35 (Aug): 247–262.
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Natural Hazards Review
Volume 24 • Issue 1 • February 2023
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© 2022 American Society of Civil Engineers.
History
Received: Jun 22, 2022
Accepted: Sep 26, 2022
Published online: Dec 6, 2022
Published in print: Feb 1, 2023
Discussion open until: May 6, 2023
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