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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2,542
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78
3,271
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Cumulative views and downloads
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Total article views: 2,206 (including HTML, PDF, and XML)
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1,849
324
33
2,206
84
49
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HTML: 1,849
PDF: 324
XML: 33
Total: 2,206
Supplement: 84
BibTeX: 49
EndNote: 82
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Total article views: 1,065 (including HTML, PDF, and XML)
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693
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45
1,065
41
40
HTML: 693
PDF: 327
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Total: 1,065
BibTeX: 41
EndNote: 40
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Cumulative views and downloads
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Total article views: 3,271 (including HTML, PDF, and XML)
Thereof 3,195 with geography defined
and 76 with unknown origin.
Total article views: 2,206 (including HTML, PDF, and XML)
Thereof 2,160 with geography defined
and 46 with unknown origin.
Total article views: 1,065 (including HTML, PDF, and XML)
Thereof 1,035 with geography defined
and 30 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...
