A Hydrologic Modeling Framework for Assessing Future Riverine Flood Risk of Critical Transportation Infrastructure

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CAIT project no.: CAIT-UTC-REG81

Fiscal Year: 2021/2022

Status: In Progress

Principal investigator(s): Efthymios Nikolopoulos, Ph.D. (PI), Rutgers, The State University

Performing organization(s): Rutgers CAIT

Managing organization: Rutgers CAIT

In cooperation with: New Jersey Transit Corporation
Partner project manager: Emily Korman, Resiliency Capital Planning Manager

Supported by: USDOT-OST-R

UTC, grant, or agreement no.: 69A3551847102


The primary goal of this proposal is to develop a high-resolution distributed hydrologic model for the state of New Jersey. The model will provide space-time information of streamflow during flood events and will be calibrated/validated against USGS streamflow stations. The calibrated model will run for various Global Climate Model scenarios to simulate flood response in the future. Analysis of future flood simulations will be carried out to identify “hot spots” of future riverine flood risk.

The intended outcome of the project is a distributed hydrologic model setup for the state of New Jersey, which will be used for several other studies/applications related to flood warning and flood risk analysis.