Determining tropical cyclone inland flooding loss on a large scale through a new flood peak ratio-based methodology
Bibliographic Data
| ID | 15545316 |
|---|---|
| Authors | Jeffrey Czajkowski (University of Pennsylvania, corresponding author), Gabriele Villarini (0000-0001-9566-2370, University of Iowa), Erwann Michel-Kerjan, Erwann Michel‐kerjan (University of Pennsylvania), James A Smith (0000-0002-0496-3221, Princeton University) |
| Year | 2013 |
| Volume | 8 |
| Issue | 4 |
| Pages | 044056-044056 |
| Publication date | 2013-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/8/4/044056 |
| OpenAlex | W2144257150 |
| Language | EN |
| Citations received | 3 |
| References cited | 18 |
In recent years, the United States has been severely affected by numerous tropical cyclones (TCs) which have caused massive damages. While media attention mainly focuses on coastal losses from storm surge, these TCs have inflicted significant devastation inland as well. Yet, little is known about the relationship between TC-related inland flooding and economic losses. Here we introduce a novel methodology that first successfully characterizes the spatial extent of inland flooding, and then quantifies its relationship with flood insurance claims. Hurricane Ivan in 2004 is used as illustration. We empirically demonstrate in a number of ways that our quantified inland flood magnitude produces a very good representation of the number of inland flood insurance claims experienced. These results highlight the new technological capabilities that can lead to a better risk assessment of inland TC flood. This new capacity will be of tremendous value to a number of public and private sector stakeholders dealing with disaster preparedness
Climate change · Coastal flood · Cyclone (programming language · Damages · Economics · Environmental planning · Environmental resource management · Flood myth · Flooding (psychology · Geography · Meteorology · Political science · Preparedness · Sea level rise · Storm · Storm surge · Tropical cyclone · Water resource management · Computer Science · Disaster Management and Resilience · Environmental Science · Flood Risk Assessment and Management · Tropical and Extratropical Cyclones Research · Geology · Oceanography
| Citations per year | 0.3 |
|---|---|
| Citation span | 2016 - 2021 (6) |
| Highly cited | No |