* indicates the corresponding author
Y. Miura*, C.Y. Blackshow, M. Zhang, K.T. Mandli, G. Deodatis. (2024). Under Review.
Y. Miura*, K.T. Mandli, G. Deodatis. (2024). Under Review.
Y. Miura*, K.T. Mandli, H. Lazrus, R. Morss. (2024). Under Review.
S.H. Rahat*, A. Poresky, S. Saki, U.K. Choya, I.J. Dollan, A. Wasti, E. Bhuiyan, Y. Miura, J. Kucharski, P. Ray. Nature Scientific Reports, Scientific Reports (2024) 14(1), 1-12. [DOI]
Traditional 100-year return period models are inadequate due to intensified precipitation from climate change. This study shows high variability in risk across the U.S., with about 53 million people in high-risk zones, potentially doubling or tripling under higher warming. Increased drought frequency affecting 37% of major farmland highlights the need for improved adaptation strategies.
Y. Miura*, P.C. Dinenis, K.T. Mandli, G. Deodatis, D. Bienstock. Frontiers in Climate (2021) 4:23. [DOI]
The paper introduces a method for optimizing protective measures for coastal infrastructure in New York, facing threats from storm-induced flooding and sea level rise (SLR). It employs GIS-based techniques and storm surge simulations to refine solutions within budget constraints. The approach evaluates various protective strategies and their effectiveness with stakeholder input.
Y. Miura*, K.T. Mandli, G. Deodatis. Natural Hazards Review (2021) 22(3): 04021018. [DOI]
The paper introduces the GIS-based subdivision-redistribution (GISSR) methodology for efficiently simulating storm surge floods in coastal urban areas. It combines GIS with Manning’s equation to calculate and redistribute water flow, accounting for protective measures and sea level rise. GISSR is highly accurate and computationally efficient compared to tools. It also can be used for nowcast using storm surge data.
Y. Miura*, H. Qureshi, C. Ryoo, P.C. Dinenis, J. Li, K.T. Mandli, G. Deodatis, D. Bienstock, H. Lazrus, R. Morss. Natural Hazards (2021) 107(2): 1821-1843. [DOI]
This article proposes a framework for a methodology that combines multiple computational models, stakeholder interviews, and optimization to find an optimal protective strategy over time for critical coastal infrastructure while being constrained by budgetary considerations.