Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 23, issue 11
Articles | Volume 23, issue 11
https://doi.org/10.5194/hess-23-4851-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-4851-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 11
Research article
 | 
27 Nov 2019
Research article |  | 27 Nov 2019

Spatially dependent flood probabilities to support the design of civil infrastructure systems

Phuong Dong Le, Michael Leonard, and Seth Westra

Viewed

Total article views: 3,868 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,587 1,182 99 3,868 409 112 165
  • HTML: 2,587
  • PDF: 1,182
  • XML: 99
  • Total: 3,868
  • Supplement: 409
  • BibTeX: 112
  • EndNote: 165
Views and downloads (calculated since 04 Sep 2018)
Cumulative views and downloads (calculated since 04 Sep 2018)

Viewed (geographical distribution)

Total article views: 3,868 (including HTML, PDF, and XML) Thereof 3,397 with geography defined and 471 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Jan 2026
Download
Short summary
While conventional approaches focus on flood designs at individual locations, there are many situations requiring an understanding of spatial dependence of floods at multiple locations. This research describes a new framework for analyzing flood characteristics across civil infrastructure systems, including conditional and joint probabilities of floods. This work leads to a new flood estimation paradigm, which focuses on the risk of the entire system rather than each system element in isolation.
Read more
Share