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Title:

Prediction of Coastal Flooding and Evacuation Demand Estimation Considering Climate Change

Accession Number:

01476449

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Climate change consequences such as sea level rise have put residents and transportation systems in the Tri-State coastal regions around New York at a risk for catastrophic flooding events, and it has become urgently needed to develop capabilities to predict the impact of such events. In this paper, the authors propose an approach to predict coastal flooding and analyze its impact on transportation systems and population in the region. In particular, the three-dimensional finite volume coastal ocean model (FVCM) is coupled with a two-dimensional shallow water model to simulate hydrodynamic flooding with resolution desired to resolve traffic systems such as streets at an affordable expense. A hydrological method is also proposed to estimate flooding resulting from overland runoff. The hydrodynamic and hydrological methods are combined to determine the entire flooded region. On the basis of the predicted areas of flooding, the demand to be evacuated may be estimated. To demonstrate its capabilities and performance, the proposed approach is applied to flooding along Cape May coastlines in the Delaware Bay under projected sea level and storm conditions. Simulations indicate that sea level rise indeed leads to a substantial increase in the total flooded area. Transportation facilities and local population will be significantly impacted in this region as discussed in the results of the case study.

Supplemental Notes:

This paper was sponsored by TRB committee AH010 Surface Transportation Weather.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-4729

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Tang, Hansong
Chien, Steven I-Jy
Marouane, Temimi
Qu, Ke
Zhao, Liuhui
Blain, Cheryl Ann
Kraatz, Simon

Pagination:

17p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Environment; Planning and Forecasting; Security and Emergencies; Transportation (General); I15: Environment; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-4729

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:55PM