Integrating Benefit-Cost Analysis and Monte Carlo Simulation to Prioritize Flood Mitigation Projects and Model Flood-Related Uncertainties
Document Type
Conference Proceeding
Publication Date
1-1-2024
Abstract
Historic and recent flood events show how susceptible communities are to floods. In the future, it is anticipated that areas prone to flooding will see a substantial increase in population density, which increases the damages of flooding events. In addition, climate change and rising sea levels may increase the frequency and severity of large-scale floods. This reflects that flood mitigation projects need to be properly planned and implemented. Hence, this paper aims to identify cost-effective flood mitigation measures for possible implementation in Essex County, New Jersey. First, the benefits were quantified for three potential flood mitigation measures/projects: elevation, wet floodproofing, and dry floodproofing under different scenarios. Second, the costs were estimated for the different alternative flood mitigating measures. Third, benefit-cost analysis and Monte Carlo simulation were conducted to select the most cost-effective measure(s). The results showed that while wet floodproofing and dry floodproofing might be more cost-effective than elevation, they do not provide the same protection level as elevation measures. This paper contributes to the body of knowledge by providing a framework that helps communities make informed decisions about their flood-related risks and money and prioritize projects to decrease flood losses by increasing the level of protection against flood hazards.
Identifier
85188680151 (Scopus)
ISBN
[9780784485279]
Publication Title
Construction Research Congress 2024, CRC 2024
External Full Text Location
https://doi.org/10.1061/9780784485279.026
First Page
247
Last Page
256
Volume
2
Recommended Citation
Mohammadi, Mohsen and Assaad, Rayan H., "Integrating Benefit-Cost Analysis and Monte Carlo Simulation to Prioritize Flood Mitigation Projects and Model Flood-Related Uncertainties" (2024). Faculty Publications. 1063.
https://digitalcommons.njit.edu/fac_pubs/1063