Department of Civil, Construction and Environmental Engineering, Center of Complex Hydrosystems Research, The University of Alabama, 35487 Tuscaloosa, USA
Department of Civil, Construction and Environmental Engineering, Center of Complex Hydrosystems Research, The University of Alabama, 35487 Tuscaloosa, USA
Department of Civil, Construction and Environmental Engineering, Center of Complex Hydrosystems Research, The University of Alabama, 35487 Tuscaloosa, USA
Department of Civil, Construction and Environmental Engineering, Center of Complex Hydrosystems Research, The University of Alabama, 35487 Tuscaloosa, USA
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Total article views: 2,520 (including HTML, PDF, and XML)
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2,068
394
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2,520
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Supplement: 95
BibTeX: 75
EndNote: 101
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734
339
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Total article views: 3,638 (including HTML, PDF, and XML)
Thereof 3,532 with geography defined
and 106 with unknown origin.
Total article views: 2,520 (including HTML, PDF, and XML)
Thereof 2,448 with geography defined
and 72 with unknown origin.
Total article views: 1,118 (including HTML, PDF, and XML)
Thereof 1,084 with geography defined
and 34 with unknown origin.
This study utilizes the global copula Bayesian model averaging technique for accurate and reliable flood modeling, especially in coastal regions. By integrating multiple precipitation datasets within this framework, we can effectively address sources of error in each dataset, leading to the generation of probabilistic flood maps. The creation of these probabilistic maps is essential for disaster preparedness and mitigation in densely populated areas susceptible to extreme weather events.
This study utilizes the global copula Bayesian model averaging technique for accurate and...
