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Vulnerability Assessment Of Critical Bridges In The Hampton Roads Region Of Virginia To Storm Surge Flooding Under Sea Level Rise, Luca Castrucci

Civil & Environmental Engineering Theses & Dissertations

In this thesis, a hydrodynamic model was developed to study the vulnerability of the transportation infrastructure in the Hampton Roads region of Virginia to storm surge flooding under sea level rise. The Hampton Roads region is the second most affected area by relative sea level rise in the United States. The hydrodynamic model was validated for tide prediction, and its performance in storm surge simulation was validated with data from Hurricane Irene (2011). The developed model was then applied to eight flood-prone bridges in the transportation network that connect the cities of Norfolk, Hampton, Virginia Beach, Chesapeake and Portsmouth; the …

A Risk Assessment Of The Impacts Of Coastal Flooding And Sea Level Rise On The Existing And New Pump Stations 113, Norfolk, Va, David A. Pezza

Civil & Environmental Engineering Theses & Dissertations

The author assessed the risk to a wastewater pump station and a planned replacement located nearby due to coastal flooding and rising sea levels. The locations for the pump stations are in the Larchmont neighborhood by the Lafayette River tidal estuaries in Norfolk, Virginia. The Lafayette River is a tributary to the Elizabeth River, which flows to the Chesapeake Bay. The low-lying areas along the river are subject to coastal surges caused by tropical and extra-tropical storms that flood the bay.

The region is considered one of the urban areas most exposed to the accelerating rate of rising sea levels. …

Towards The Efficient Probabilistic Characterization Of Tropical Cyclone-Generated Storm Surge Hazards Under Stationary And Nonstationary Conditions, Senanu Kudjo Agbley

Civil & Environmental Engineering Theses & Dissertations

The scarcity of observations at any single location confounds the probabilistic characterization of tropical cyclone-generated storm surge hazards using annual maxima and peaks-over-threshold methods. The EST and the JPM are indirect approaches aimed at estimating the probability distribution of the response variable of interest (i.e. storm surge) using the probability distributions of predictor variables (e.g. storm size, storm intensity etc.). In the first part of this work, the relative performance of the empirical simulation technique (EST; Borgman et al., 1992) and the joint probability method (JPM; Myers, 1970) is evaluated via stochastic simulation methods. It is shown that the JPM …