Asset Details
Do you wish to reserve the book?
Community flood vulnerability and risk assessment: An empirical predictive modeling approach
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Community flood vulnerability and risk assessment: An empirical predictive modeling approach
Do you wish to request the book?
Community flood vulnerability and risk assessment: An empirical predictive modeling approach
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Community flood vulnerability and risk assessment: An empirical predictive modeling approach
2021
Overview
Effective assessment of flood vulnerability and risk is essential for communities to manage flood hazards. This paper presents an empirical modeling methodology to predict flood vulnerability and risk, considering factors of hazard distribution, property exposure, built environment, and socio‐demographic and economic characteristics of a community. Vulnerability is empirically modeled as the expected fraction of property loss that is uninsured within a community (i.e., census tract) given water depth. Risk is derived as the expected annual uninsured property loss and loss ratio. The proposed framework is applied to the state of North Carolina in the United States. For model calibration, modeled flood loss data from Hurricanes Matthew in 2016 and Florence in 2018 and insurance claims data from the Federal Insurance and Mitigation Administration's National Flood Insurance Program are used. The Federal Emergency Management Agency's National Flood Hazard Layer is adopted, along with empirical probability distribution of water depth given flood event, to characterize hazard distribution. Results demonstrate how the presented methodology can be used to predict annual loss in terms of currency and to highlight hotspots of flood vulnerability and risk. Future work is needed to reduce uncertainty associated with limited hazard information available to the public.
Publisher
Blackwell Publishing Ltd,John Wiley & Sons, Inc,Wiley
Subject
