Coupling Infrastructure Resilience And Flood Risk Assessment Via Copulas Analyses For A Coastal Green-Grey-Blue Drainage System Under Extreme Weather Events
Keywords
Coastal sustainability; Flood impact; Resilience assessment; Risk analysis
Abstract
This study sheds light on the coupling of potential flood risk and drainage infrastructure resilience of low-lying areas of a coastal urban watershed to evaluate flood hazards and their possible driving forces. Copulas analyses with the aid of joint probability of simultaneous occurrence help characterize the complexity for hazard classification based on subsequent exposure to inundation under varying levels of adaptive capacity. Adaptive measures of consideration include traditional flood proofing structures and low impact development facilities for a coastal urban watershed - the Cross Bayou watershed, near Tampa Bay, Florida. Findings indicate that coupling flood risk and infrastructure resilience is achievable through the careful formulation of flood risk associated with a resilience metric, which is a function of the predicted hazards, vulnerability, and adaptive capacity. The results also give insights into improving existing methodologies for municipalities in flood management practices such as incorporating a multi-criteria flood impact assessment that couples risk and resilience in a common evaluation framework.
Publication Date
2-1-2018
Publication Title
Environmental Modelling and Software
Volume
100
Number of Pages
82-103
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.envsoft.2017.11.008
Copyright Status
Unknown
Socpus ID
85034623284 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85034623284
STARS Citation
Joyce, Justin; Chang, Ni Bin; Harji, Rahim; and Ruppert, Thomas, "Coupling Infrastructure Resilience And Flood Risk Assessment Via Copulas Analyses For A Coastal Green-Grey-Blue Drainage System Under Extreme Weather Events" (2018). Scopus Export 2015-2019. 10348.
https://stars.library.ucf.edu/scopus2015/10348