Flood Damage Costs Beyond Buildings—A Lake Champlain Case Study
Links
- Document: Report (1.65 MB pdf) , HTML , XML
- Data Release: USGS data release - U.S.-Side Principal Economic Indicators For the International Joint Commission Lake Champlain Richelieu River Study Project (2022)
- Download citation as: RIS | Dublin Core
Introduction
Floods account for more than 75 percent of Federal disaster declarations and lead other natural disasters in economic costs. Early-warning systems have lowered flood-related fatalities, but costs continue to rise as flood-prone areas continue to be urbanized (U.S. Geological Survey, 2006). A Lake Champlain case study shows that at moderate flood heights, the economic costs of non-structural damages or losses—such as temporary lodging, residential debris removal, commercial revenue losses, and road repair—can be greater than economic damages to buildings. For unprecedented flood heights, non-structural damages can still total more than 10 percent of structural damage costs.
Suggested Citation
Rhodes, C., 2023, Flood damage costs beyond buildings—A Lake Champlain case study: U.S. Geological Survey Fact Sheet 2023–3034, 6p., https://doi.org/10.3133/fs20233034.
ISSN: 2327-6932 (online)
Study Area
Table of Contents
- Lake Champlain Case Study Context and Approach
- Estimated Principal Indicator Costs Compared to the Structural Damage Estimates for Buildings, at a Range of Flood Elevations
- References Cited
Publication type | Report |
---|---|
Publication Subtype | USGS Numbered Series |
Title | Flood damage costs beyond buildings—A Lake Champlain case study |
Series title | Fact Sheet |
Series number | 2023-3034 |
DOI | 10.3133/fs20233034 |
Year Published | 2023 |
Language | English |
Publisher | U.S. Geological Survey |
Publisher location | Reston, VA |
Contributing office(s) | Science and Decisions Center |
Description | Report: 6 p.; Data Release |
Country | Canada, United States |
State | New York, Vermont |
Other Geospatial | Lake Champlain |
Online Only (Y/N) | Y |
Additional Online Files (Y/N) | N |
Google Analytic Metrics | Metrics page |