Date Approved

4-20-2017

Embargo Period

4-20-2017

Document Type

Thesis

Degree Name

MS Civil Engineering

Department

Civil & Environmental Engineering

College

Henry M. Rowan College of Engineering

Advisor

Nazari, Rouzbeh

Committee Member 1

Daraio, Joseph

Committee Member 2

Everett, Jess

Keywords

Fine-Scale Modeling, Flood Risk, Green Infrastructure, Hydraulic Flood Modeling

Subject(s)

Flood control; Hydraulic models; Sustainable engineering

Disciplines

Civil and Environmental Engineering | Hydraulic Engineering

Abstract

This paper outlines the development of an enhanced hydraulic flood model that uses a fine-scale grid to analyze significant areas of flooding for improved flood predictions and resiliency planning. This study modeled the extent of Atlantic City and Camden, New Jersey. The capabilities of the model were compared to coarser national models, HAZUS-MH and SLOSH, to understand the significance of fine-scale hydraulic modeling. The results illustrated that the HAZUS and SLOSH models showed gaps in some areas and lacked accuracy due to lower resolution. This paper also describes how these developed models show the impacts of severe storms, and the effects of Green Infrastructure (GI) implementation as resiliency methods using SWMM. Overall, the models with GI show a decrease of peak runoff and decreased flow due to the GI implementation. The results and benefits from this study's simulation and modeling techniques support modeling storms using high-resolution hydraulic programs due to their precision. This research will allow coastal community members to understand the significance of fine-scale flood modeling and green infrastructure implementation with more advanced techniques in the future for resiliency planning.

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