Modeling Coastal Flood Risk and Adaptation Response under Future Climate Conditions.

Sea level rise adaptation coastal flooding

Journal

Climate risk management
ISSN: 2212-0963
Titre abrégé: Clim Risk Manag
Pays: Netherlands
ID NLM: 101701807

Informations de publication

Date de publication:
2020
Historique:
entrez: 25 8 2020
pubmed: 25 8 2020
medline: 25 8 2020
Statut: ppublish

Résumé

The National Coastal Property Model (NCPM) simulates flood damages resulting from sea level rise and storm surge along the contiguous U.S. coastline. The model also projects local-level investments in a set of adaptation measures under the assumption that these measures will be adopted when benefits exceed the costs over a 30-year period. However, it has been observed that individuals and communities often underinvest in adaptive measures relative to standard cost-benefit assumptions due to financial, psychological, sociopolitical, and technological factors. This study applies an updated version of the NCPM to incorporate improved cost-benefit tests and to approximate observed sub-optimal flood risk reduction behavior. The updated NCPM is tested for two multi-county sites: Virginia Beach, VA and Tampa, FL. Sub-optimal adaptation approaches slow the implementation of adaptation measures throughout the 100-year simulation and they increase the amount of flood damages, especially early in the simulation. The net effect is an increase in total present value cost of $1.1 to $1.3 billion (2015 USD), representing about a 10% increase compared to optimal adaptation approaches. Future calibrations against historical data and incorporation of non-economic factors driving adaptation decisions could prove useful in better understanding the impacts of continued sub-optimal behavior.

Identifiants

pubmed: 32832376
doi: 10.1016/j.crm.2020.100233
pmc: PMC7433032
mid: NIHMS1614947
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100233

Subventions

Organisme : Intramural EPA
ID : EPA999999
Pays : United States

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no competing interests.

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Auteurs

Mark Lorie (M)

Abt Associates, 1881 Ninth Street, Suite 201, Boulder, CO 80302, USA.

James E Neumann (JE)

Industrial Economics, Inc., 2067 Massachusetts Avenue, Cambridge, MA 02140, USA.

Marcus C Sarofim (MC)

U.S. Environmental Protection Agency, 1200 Pennsylvania Avenue, NW, Washington, DC 20460, USA.

Russell Jones (R)

Abt Associates, 1881 Ninth Street, Suite 201, Boulder, CO 80302, USA.

Radley M Horton (RM)

P.O. Box 1000, 61 Route 9W Palisades, NY 10964, USA.

Robert E Kopp (RE)

Department of Earth & Planetary Sciences and Institute of Earth, Ocean, and Atmospheric Sciences, Rutgers University, 71 Dudley Road, New Brunswick, NJ 08901, USA.

Charles Fant (C)

Industrial Economics, Inc., 2067 Massachusetts Avenue, Cambridge, MA 02140, USA.

Cameron Wobus (C)

Lynker Technologies, 3002 Bluff Street, Suite 101, Boulder, CO 80301, USA.

Jeremy Martinich (J)

U.S. Environmental Protection Agency, 1200 Pennsylvania Avenue, NW, Washington, DC 20460, USA.

Megan O'Grady (M)

Lynker Technologies, 3002 Bluff Street, Suite 101, Boulder, CO 80301, USA.

Lauren Gentile (L)

U.S. Environmental Protection Agency, 1200 Pennsylvania Avenue, NW, Washington, DC 20460, USA.

Classifications MeSH