EXTREME RAINFALL-RUNOFF MODELING DURING REMNANTS OF IDA IN NEW YORK
ICCE 2022
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EXTREME RAINFALL-RUNOFF MODELING DURING REMNANTS OF IDA IN NEW YORK. (2023). Coastal Engineering Proceedings, 37, management.110. https://doi.org/10.9753/icce.v37.management.110

Abstract

While the effects of wind and pressure on coastal waters can generate large storm surges that lead to coastal flooding, storm surge represents only one driver of flooding. In reality, flooding is often driven by the combined action of several geophysical drivers (Couasnon et al., 2020; Zscheischler et al., 2018). Formally compound flooding is defined as the combined action of meteorological forces, tidal forces,, fluvial, and pluvial discharge (Zscheischler et al., 2018). Recent events such as the extreme rainfall associated with the remnants of Hurricane Ida in the Northeast United States have demonstrated the need to model the rainfall-runoff impact (i.e., pluvial flooding) and its downstream impact (i.e., fluvial flooding). In extreme rainfall cases in which large quantities of precipitation fall in short periods, urban environments often flood, and wastewater collection systems often exceed their design limit. In severe scenarios, surcharged sewer systems can significantly exacerbate urban flooding. While several existing flood risk methods consider storm surge in them approach, it remains active research topic concerning how and when rainfall-runoff processes should be incorporated in flooding models to assess site-specific flood risk. Often an approach is pursued that involves loosely coupling multiple numerical models each modeling a particular flood driver; however, this approach can become cumbersome. Instead in this work we pursue a different approach in which compound flooding can be resolved in a single numerical model (herein termed a monolithic approach).
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References

Algeo, L., & Mahoney, T. (2011). Fema’s update process for coastal surge and wave analysis for flood insurance rate maps. In Solutions to coastal disasters 2011 (pp. 569–580).

Couasnon, A., Eilander, D., Muis, S., Veldkamp, T. I. E., Haigh, I. D., Wahl, T., Winsemius, H. C., and Ward, P. J.: Measuring compound flood potential from river discharge and storm surge extremes at the global scale, Nat. Hazards Earth Syst. Sci., 20, 489–504, https://doi.org/10.5194/nhess-20-489-2020, 2020.

Gori, A., Lin, N., & Xi, D. (2020). Tropical cyclone compound flood hazard assessment: From investigating drivers to quantifying extreme water levels. Earth’s Future, 8 (12), e2020EF001660. https://doi.org/10.1029/2020EF001660

Huang, W., Ye, F., Zhang, Y. J., Park, K., Du, J., Moghimi, S., Liu, Z. (2021). Compounding factors for extreme flooding around Galveston Bay during hurricane Harvey. Ocean Modelling, 158, 101735. doi:https://doi.org/10.1016/j.ocemod.2020.101735

Kelly, David, Ata, Riadh, Li, Y. (2018): Modification of TELEMAC 2D for Storm Surge Use. In: Bacon, John; Dye, Stephen; Beraud, Claire (Hg.): Proceedings of the TELEMAC User Conference, vol.28, pp. 39-44.

Khanam, M., Sofia, G., Koukoula, M., Lazin, R., Nikolopoulos, E. I., Shen, X., & Anagnostou, E. N. (2021). Impact of compound flood event on coastal critical infrastructures considering current and future climate. Natural Hazards and Earth System Sciences, 21 (2), 587–605. Retrieved from https://nhess.copernicus.org/articles/21/587/2021/ doi: 10.5194/nhess-21-587-2021

Roberts, Keith. J., Pringle, William. J., and Westerink, Johannes. J. (2019): OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling, Geoscientific Model Development, Publisher, vol. 12, issue 5, pp. 1847-1868.

Villarini, G., Zhang, W., Miller, P., Johnson, D. R., Grimley, L. E., & Roberts, H. J. (2021). Probabilistic rainfall generator for tropical cyclones affecting Louisiana. International Journal of Climatology

Zhang, Y., Baptista, A. M., & Myers, E. P. (2004). A cross-scale model for 3d baroclinic circulation in estuary–plume–shelf systems: I. formulation and skill assessment. Continental Shelf Research, 24 (18), 2187–2214

Zscheischler, J., Westra, S., van den Hurk, B.J.J.M. et al. Future climate risk from compound events. Nature Clim Change 8, 469–477 (2018).

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Copyright (c) 2023 Onur Kurum, Dave M. Kelly, Keith J.Roberts, Rob Nairn