Modeling and analysis of the entire process of hurricane loss based on probability theory

Yu Chang; Xuqiang Wang

doi:10.54097/hset.v48i.8226

Authors

Yu Chang
Xuqiang Wang

DOI:

https://doi.org/10.54097/hset.v48i.8226

Keywords:

hurricane, hazard analysis, storm surge, natural hazard.

Abstract

This paper is about a research on sustained wind speed pattern of a hurricane, involving wind speed distribution, hazard analysis as well as further evaluation on its relationship with storm surge heights. It establishes a simulative model base on Hurricane Jose in 2017 and relative data are collected from NOAA. Weibull distribution can be helpful on monitering sustained wind speed and a probability density distribution curve showing the likelihood of a hurricane with magnitude similar to Jose to strike New York is established by mathematical calculation software. The possible risk is approximately evaluated based on this likelihood to reach a final damage budget. This research can be helpful on damage prediction and prevention on coastal natural hazard, especially for a time that as climate change enhances. With the help of results this reseach has obtained, a damage forecast can be made before a hurricaneforms in order to benefit decision makers to construct corresponding level of defence system to reduce loss when a hurricane actually approaches.

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References

Rappaport, & Edward, N. . (2014). Fatalities in the united states from atlantic tropical cyclones: new data and interpretation. Bulletin of the American Meteorological Society, 95(3), 341-346.

Emanuel, K. (2020). Evidence that hurricanes are getting stronger. Proceedings of the National Academy of Sciences, 117(24), 13194-13195.

Gutmann, E. D., Rasmussen, R. M., Liu, C., Ikeda, K., Bruyere, C. L., Done, J. M., ... & Veldore, V. (2018). Changes in hurricanes from a 13-yr convection-permitting pseudo–global warming simulation. Journal of Climate, 31(9), 3643-3657.

Knutson, T. R., McBride, J. L., Chan, J., Emanuel, K., Holland, G., Landsea, C., ... & Sugi, M. (2010). Tropical cyclones and climate change. Nature geoscience, 3(3), 157-163.

Walsh, K. J., McBride, J. L., Klotzbach, P. J., Balachandran, S., Camargo, S. J., Holland, G., ... & Sugi, M. (2016). Tropical cyclones and climate change. Wiley Interdisciplinary Reviews: Climate Change, 7(1), 65-89.

Neumann, B., Vafeidis, A. T., Zimmermann, J., & Nicholls, R. J. (2015). Future coastal population growth and exposure to sea-level rise and coastal flooding-a global assessment. PloS one, 10(3), e0118571.

Camelo, J., Mayo, T. L., & Gutmann, E. D. (2020). Projected Climate Change Impacts on Hurricane Storm Surge Inundation in the Coastal United States. Frontiers in Built Environment, NA-NA.

National Hurricane Center, NOAA, Introduction to Storm Surge (2021)

Bernier, N. B., & Thompson, K. R. (2015). Deterministic and ensemble storm surge prediction for Atlantic Canada with lead times of hours to ten days. Ocean Modelling, 86, 114-127.

Irish, J. L., Resio, D. T., & Ratcliff, J. J. (2008). The influence of storm size on hurricane surge. Journal of Physical Oceanography, 38(9), 2003-2013.

National Hurricane Center (NHC), Introduction to Storm Surge, NOAA

Weisberg, R. H., & Zheng, L. (2006). Hurricane storm surge simulations for Tampa Bay. Estuaries and Coasts, 29(6), 899-913.

Resio, D. T., Irish, J., & Cialone, M. (2009). A surge response function approach to coastal hazard assessment–part 1: basic concepts. Natural Hazards, 51(1), 163-182.

Khalid, A., Miesse, T., Erfani, E., Thomas, S., Ferreira, C., Pegion, K., ... & Manganello, J. (2021). Evaluating storm surge predictability on subseasonal timescales for flood forecasting applications: A case study for Hurricane Isabel and Katrina. Weather and Climate Extremes, 34, 100378.

Bhattacharya, P., & Bhattacharjee, R. (2009). A Study on Weibull Distribution for Estimating the Parameters. Wind Engineering, 33(5), 469–476.

Bloemendaal, N., de Moel, H., Mol, J. M., Bosma, P. R., Polen, A. N., & Collins, J. M. (2021). Adequately reflecting the severity of tropical cyclones using the new Tropical Cyclone Severity Scale. Environmental Research Letters, 16(1), 014048.

Irish, J. L., & Resio, D. T. (2010). A hydrodynamics-based surge scale for hurricanes. Ocean Engineering, 37(1), 69-81.

Kantha, L. (2006). Time to replace the Saffir‐Simpson hurricane scale?. Eos, Transactions American Geophysical Union, 87(1), 3-6.

Powell, M. D., & Reinhold, T. A. (2007). Tropical cyclone destructive potential by integrated kinetic energy. Bulletin of the American Meteorological Society, 88(4), 513-526.