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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2,618
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3,398
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Cumulative views and downloads
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Total article views: 2,312 (including HTML, PDF, and XML)
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EndNote
1,910
362
40
2,312
91
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90
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PDF: 362
XML: 40
Total: 2,312
Supplement: 91
BibTeX: 57
EndNote: 90
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708
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1,086
41
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PDF: 333
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BibTeX: 41
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Cumulative views and downloads
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Total article views: 3,398 (including HTML, PDF, and XML)
Thereof 3,303 with geography defined
and 95 with unknown origin.
Total article views: 2,312 (including HTML, PDF, and XML)
Thereof 2,248 with geography defined
and 64 with unknown origin.
Total article views: 1,086 (including HTML, PDF, and XML)
Thereof 1,055 with geography defined
and 31 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...
