REAL-TIME ASSESSMENT OF WAVE AND SURGE RISK DUE TO LANDFALLING HURRICANES

Alexandros Angfelos Taflanidis, Andrew B. Kennedy, Joannes J. Westerink, Jane McKee Smith, Tracy Kijewski-Correa, Kwok Fai Cheung

Abstract


In this work, a probabilistic framework is presented for real-time assessment of wave and surge risk for hurricanes approaching landfall. This framework has two fundamental components. The first is the development of a surrogate model for the rapid evaluation of hurricane waves, water levels, and runup based on a small number of parameters describing each hurricane: hurricane landfall location and heading, central pressure, forward speed, and radius of maximum winds. This surrogate model is developed using a response surface methodology fed by information from hundreds of pre-computed, high-fidelity model runs. For a specific set of hurricane parameters (i.e., a specific landfalling hurricane), the surrogate model is able to evaluate the maximum wave height, water level, and runup during the storm at a cost that is more than seven orders of magnitude less than the high fidelity models and thus meet time constraints imposed by emergency managers and decision makers. The second component to this framework is a description of the uncertainty in the parameters used to characterize the hurricane, through appropriate probability models, which then leads to quantification of hurricane-risk in terms of a probabilistic integral. This integral is then efficiently computed using the already established surrogate model by analyzing thousands of different scenarios (based on the aforementioned probabilistic description). Finally, by leveraging the computational simplicity and efficiency of the surrogate model, a simple stand-alone PC-based risk assessment tool is developed that allows non-expert end users to take advantage of the full potential of the framework. An illustrative example is presented that considers applications of these tools for hurricane risk estimation for Oahu. The development of cyber-infrastructure at the University of Notre Dame to further support these initiatives is also discussed.

Keywords


hurricane risk; response surface approximations; joint probability method; coastal hazard; cyber-infrastructure

References


Borgman, L. E., M. Miller, L. Butler and R. Reinhard 1992. Empirical simulation of future hurricane storm histories as a tool in engineering and economic analysis. ASCE Fifth International Conference on Civil Engineering in Ocean, College Station, Texas.

PMCid:49256

Breitkopf, P., H. Naceur, A. Rassineux and P. Villon 2005. Moving least squares response surface approximation: Formulation and metal forming applications. Computers & Structures, 83(17-1., 1411-1428.

Burges, C. J. C. 1998. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2, 121–167.http://dx.doi.org/10.1023/A:1009715923555

Choi, K. K., B. Youn and R. J. Yang 2001. Moving least squares method for reliability-based design optimization. 4 th World Congress of Structural and Multidisciplinary Optimization, Dalian, China.

Cline, D. 2009. Integrated Water Forecasting - Beyond the Advanced Hydrologic Prediction Service (AHPS): Critical Gaps and the Way Forward, NOAA.

Das, H. S., H. Jung, B. Ebersole, T. Wamsley and R. W. Whalin 2010. An efficient storm surge forecasting tool for coastal Mississippi. 32nd International Coastal Engineering Conference, Shanghai, China.

Demirbilek, Z., O. G. Nwogu, D. L. Ward and A. Sanchez 2009. Wave transformation over reefs: evaluation of one dimensional numerical models, Report ERDC/CHL TR-09-1, US Army Corps of Engineers. Dietrich, J. C., S. Bunya, J. J. Westerink, B. A. Ebersole, J. M. Smith, J. H. Atkinson, R. Jensen, D. T.

Resio, R. A. Luettich, C. Dawson, V. J. Cardone, A. T. Cox, M. D. Powell, H. J. Westerink and H. J. Roberts 2010. A High Resolution Coupled Riverine Flow, Tide, Wind, Wind Wave and Storm Surge Model for Southern Louisiana and Mississippi: Part II - Synoptic Description and Analyses of Hurricanes Katrina and Rita. Monthly Weather Review, 138(2), 378-404.

Emanuel, K., S. Ravela, E. Vivant and C. Risi 2006. A statistical deterministic approach to hurricane risk assessment. Bulletin of the American Meteorological Society, 87(3), 299-314.http://dx.doi.org/10.1175/BAMS-87-3-299

Grimmett, G. and D. Stirzaker 2001. Probability and Random Processes. Oxford, Great Britain, Oxford University Press.

Irish, J., D. Resio and M. Cialone 2009. A surge response function approach to coastal hazard assessment. Part 2: Quantification of spatial attributes of response functions. Natural Hazards, 51(1), 183-205.http://dx.doi.org/10.1007/s11069-009-9381-4

Kennedy, A. B., U. Gravois and B. Zachry 2011. Observations of landfalling wave spectra duringhttp://dx.doi.org/10.1061/(ASCE)WW.1943-5460.0000081

Kennedy, A. B., J. J. Westerink, J. Smith, A. A. Taflanidis, M. Hope, M. Hartman, S. Tanaka, H.

Westerink, K. F. Cheung, T. Smith, M. Hamman, M. Minamide and A. Ota 2012. Tropical cyclone inundation potential on the Hawaiian islands of Oahu and Kauai. Ocean Modelling, 52-53, 54–68.

Kijewski-Correa, T., A. A. Taflanidis, A. B. Kennedy, A. Kareem and J. J. Westerink 2012. CYBEREYE: Integrated Cyber-Infrastructure to Support Hurricane Risk-Assessment. ATC & SEI Advances in Hurricane Engineering Conference, Miami, Florida.

Myers, R. H. and D. C. Montgomery 2002. Response surface methodology. New York, NY.

Myers, V. A. 1975. Storm tide frequencies on the South Carolina Coast. NOAA Technical Report NWS-16.

Niedoroda, A. W., D. T. Resio, G. Toro, D. Divoky and C. Reed 2008. Efficient strategies for the joint probability evaluation of storm surge hazards. Solutions to Coastal Disasters Congress, Oahu, Hawaii, 242-255.

Phadke, A. C., C. D. Martino, K. F. Cheung and S. H. Houston 2003. Modeling of tropical cyclone winds and waves for emergency management. Ocean Engineering, 30(4), 553-578.http://dx.doi.org/10.1016/S0029-8018(02)00033-1

Resio, D., J. Irish and M. Cialone 2009. A surge response function approach to coastal hazard assessment – part 1: basic concepts. Natural Hazards, 51(1), 163-182.http://dx.doi.org/10.1007/s11069-009-9379-y

Resio, D. T. and J. J. Westerink 2008. Modeling of the physics of storm surges. Physics Today, 61(9), 33-38.http://dx.doi.org/10.1063/1.2982120

Robert, C. P. and G. Casella 2004. Monte Carlo statistical methods. New York, NY, Springer.http://dx.doi.org/10.1007/978-1-4757-4145-2

Song, Y. K., J. L. Irish and I. E. Udoh 2012. Regional attributes of hurricane surge response functionshttp://dx.doi.org/10.1007/s11069-012-0309-z

Taflanidis, A. A. 2012. Stochastic Subset Optimization incorporating moving least squares response surface methodologies for stochastic sampling. Advances in Engineering Software, 44(1), 3-14.http://dx.doi.org/10.1016/j.advengsoft.2011.07.009

Taflanidis, A. A. and J. L. Beck 2008. An efficient framework for optimal robust stochastic system design using stochastic simulation. Computer Methods in Applied Mechanics and Engineering, 198(1), 88-101.http://dx.doi.org/10.1016/j.cma.2008.03.029

Taflanidis, A. A. and J. L. Beck 2010. Reliability-based design using two-stage stochastic optimization with a treatment of model prediction errors. Journal of Engineering Mechanics, 136(12), 1460-1473.http://dx.doi.org/10.1061/(ASCE)EM.1943-7889.0000189

Taflanidis, A. A., A. B. Kennedy, J. J. Westerink, J. Smith, K. F. Cheung, M. Hope and S. Tanaka 2012. Rapid assessment of wave and surge risk during landfalling hurricanes; a probabilistic approach. ASCE Journal of Waterway, Coastal and Port Authorities, (doi: 2. 1061/(ASCE)WW.1943-5460.0000178).

Udoh, L. E. and J. L. Irish 2011. Improvements in hurricane surge response functions: Incorporating the effects of forward speed, approach angle, and sea level rise. International Conference on Vulnerability and Risk Analysis and Management/Fifth International Symposium on Uncertainty Modeling and Analysis, Hyattsville, Maryland.

PMCid:3107410

Westerink, J. J., R. A. Luettich, J. C. Feyen, J. H. Atkinson, C. Dawson, H. J. Roberts, M. D. Powell, J. P. Dunion, E. J. Kubatko and H. Pourtaheri 2008. A basin- to channel-scale unstructured grid hurricane storm surge model applied to southern Louisiana. Monthly Weather Review, 136(3), 833-864.http://dx.doi.org/10.1175/2007MWR1946.1


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