Street-Scale Modeling of Storm Surge Inundation along the New Jersey Hudson River Waterfront

2015 ◽  
Vol 32 (8) ◽  
pp. 1486-1497 ◽  
Author(s):  
Alan F. Blumberg ◽  
Nickitas Georgas ◽  
Larry Yin ◽  
Thomas O. Herrington ◽  
Philip M. Orton
Keyword(s):  
New York ◽  
New Jersey ◽  
High Resolution ◽  
Hydrodynamic Model ◽  
Hudson River ◽  
Ocean Model ◽  
Hurricane Sandy ◽  
Water Levels ◽  
Spatial And Temporal Variation ◽  
Inundation Model

AbstractA new, high-resolution, hydrodynamic model that encompasses the urban coastal waters of New Jersey along the Hudson River Waterfront opposite New York City, New York, has been developed and validated for simulating inundation during Hurricane Sandy. A 3.1-m-resolution square model grid combined with a high-resolution lidar elevation dataset permits a street-by-street focus to inundation modeling. The waterfront inundation model is a triple-nested Stevens Institute Estuarine and Coastal Ocean Hydrodynamic Model (sECOM) application; sECOM is a successor model to the Princeton Ocean Model family of models. Robust flooding and drying of land in the model physics provides for the dynamic prediction of flood elevations and velocities across land features during inundation events. The inundation model was forced by water levels from the extensively validated New York Harbor Observing and Prediction System (NYHOPS) hindcast of that hurricane.Validation against 56 watermarks and 16 edgemarks provided via the USGS and through an extensive crowdsourcing effort consisting of photographs, videos, and personal stories shows that the model is capable of computing overland water elevations quite accurately throughout the entire surge event. The correlation coefficient (R2) between the watermark observations and the model results is 0.92. The standard deviation of the residual error is 0.07 m. Comparisons to the 16 flood edgemarks suggest that the model was able to reproduce flood extent to within 20 m. Because the model was able to capture the spatial and temporal variation of water levels in the region observed during Hurricane Sandy, it was used to identify the flood pathways and suggest where flood-preventing interventions could be built.

scholarly journals Estuarine bed-sediment-quality data collected in New Jersey and New York after Hurricane Sandy, 2013

Data Series ◽  
10.3133/ds905 ◽  
2015 ◽  
Author(s):  
Jeffrey M. Fischer ◽  
Patrick J. Phillips ◽  
Timothy J. Reilly ◽  
Michael J. Focazio ◽  
Keith A. Loftin ◽  
...  
Keyword(s):  
New York ◽  
New Jersey ◽  
Sediment Quality ◽  
Hurricane Sandy ◽  
Quality Data ◽  
Bed Sediment

Regional assessment of persistent organic pollutants in resident mussels from New Jersey and New York estuaries following Hurricane Sandy

2016 ◽  
Vol 107 (2) ◽  
pp. 432-441 ◽  
Author(s):  
Kelly L. Smalling ◽  
Ashok D. Deshpande ◽  
Heather S. Galbraith ◽  
Beth L. Sharack ◽  
DeMond Timmons ◽  
...  
Keyword(s):  
New York ◽  
New Jersey ◽  
Organic Pollutants ◽  
Persistent Organic Pollutants ◽  
Hurricane Sandy ◽  
Regional Assessment

Modeling the Pathways and Mean Dynamics of River Plume Dispersal in the New York Bight

2009 ◽  
Vol 39 (5) ◽  
pp. 1167-1183 ◽  
Author(s):  
Weifeng G. Zhang ◽  
John L. Wilkin ◽  
Robert J. Chant
Keyword(s):  
New York ◽  
New Jersey ◽  
Hudson River ◽  
Ocean Modeling ◽  
Ocean Dynamics ◽  
Surface Currents ◽  
Regional Ocean Modeling System ◽  
New York Bight ◽  
York Bight ◽  
The Mean

Abstract This study investigates the dispersal of the Hudson River outflow across the New York Bight and the adjacent inner- through midshelf region. Regional Ocean Modeling System (ROMS) simulations were used to examine the mean momentum dynamics; the freshwater dispersal pathways relevant to local biogeochemical processes; and the contribution from wind, remotely forced along-shelf current, tides, and the topographic control of the Hudson River shelf valley. The modeled surface currents showed many similarities to the surface currents measured by high-frequency radar [the Coastal Ocean Dynamics Applications Radar (CODAR)]. Analysis shows that geostrophic balance and Ekman transport dominate the mean surface momentum balance, with most of the geostrophic flow resulting from the large-scale shelf circulation and the rest being locally generated. Subsurface circulation is driven principally by the remotely forced along-shelf current, with the exception of a riverward water intrusion in the Hudson River shelf valley. The following three pathways by which freshwater is dispersed across the shelf were identified: (i) along the New Jersey coast, (ii) along the Long Island coast, and (iii) by a midshelf offshore pathway. Time series of the depth-integrated freshwater transport show strong seasonality in dispersal patterns: the New Jersey pathway dominates the winter–spring seasons when winds are downwelling favorable, while the midshelf pathway dominates summer months when winds are upwelling favorable. A series of reduced physics simulations identifies that wind is the major force for the spreading of freshwater to the mid- and outer shelf, that remotely forced along-shelf currents significantly influence the ultimate fate of the freshwater, and that the Hudson River shelf valley has a modest dynamic effect on the freshwater spreading.

Preventing carbon monoxide poisoning in the Hudson River Tunnel in 1921: recounting history

2021 ◽  
pp. 89-96
Author(s):  
Neil B. Hampson ◽  
Keyword(s):  
New York ◽  
Carbon Monoxide ◽  
New Jersey ◽  
Medical Students ◽  
Carbon Monoxide Poisoning ◽  
Hudson River ◽  
Yale University ◽  
Passenger Vehicles ◽  
The World ◽  
The Cost

The New York Bridge and Tunnel Commission began planning for a tunnel beneath the lower Hudson river to connect Manhattan to New Jersey in 1919. At 8,300 feet, it would be the longest tunnel for passenger vehicles in the world. A team of engineers and physiologists at the Yale University Bureau of Mines Experiment Station was tasked with calculating the ventilation requirements that would provide safety from exposure to automobile exhaust carbon monoxide (CO) while balancing the cost of providing ventilation. As the level of ambient CO which was comfortably tolerated was not precisely defined, they performed human exposures breathing from 100 to 1,000 ppm CO, first on themselves and subsequently on Yale medical students. Their findings continue to provide a basis for carbon monoxide alarm requirements a century later.

Hoboken Ho

2021 ◽  
pp. 65-88
Author(s):  
Ann L. Buttenwieser
Keyword(s):  
New York ◽  
New Jersey ◽  
Feasibility Study ◽  
Hudson River ◽  
The South ◽  
The West ◽  
Professional Help ◽  
West Side ◽  
The North ◽  
Community Trust

This chapter recounts how the author became an evangelist for floating pools by the end of the 1990s. It mentions plans for twenty-five major projects by 1986 that went before the New Jersey Waterfront Commission for approval, from Fort Lee on the north of Hoboken to Bayonne eighteen miles to the south. It also talks about proposals that included parks, marinas, and a continuous waterfront walkway along the west side of the Hudson River. The chapter details how the author won a $25,000 grant from the New York Community Trust to do a feasibility study for the floating project, which in turn brought her to architect Jonathan Kirschenfeld's office to seek his professional help. It describes Kirschenfeld as an earnest man and the very picture of a serious idealist.

Parameterization of Coastal Wetlands and Their Role in Back Bay Hydrodynamics

2020 ◽  
Author(s):  
Mary Cialone ◽  
Gregory Slusarczyk
Keyword(s):  
New Jersey ◽  
Flood Risk ◽  
Coastal Wetlands ◽  
Management Practices ◽  
Coastal Wetland ◽  
The United States ◽  
Hurricane Sandy ◽  
Water Levels ◽  
Depth Analysis

<p>This paper will provide an evaluation of the role of coastal wetlands in flood risk mediation by performing hydrodynamic modeling of storm surge in back bays that include various configurations of wetland features. Wetland parameters varied in the research study include the elevation, shape, volume, and vegetation type (represented by the Manning’s friction coefficient) to identify the role of wetlands in reducing back bay flooding.   This information can be used to determine best future management practices for dredged material placement that will serve to maintain and restore wetlands in light of environmental pressures such as climate change, subsidence, storm-induced erosion, boat wakes, and other factors influencing coastal wetland dynamics.</p><p>Following Hurricane Sandy in 2012, the United States (U.S.) Congress authorized the large scale North Atlantic Coast Comprehensive Study (NACCS) to address the present and future flood risk to this region. Part of that study was an in-depth numerical modeling and statistical analysis using the ADvanced CIRCulation (ADCIRC) and STeady-state spectral WAVE (STWAVE) models and the Joint Probability with Optimal Sampling (JPM-OS) statistical technique. Following the NACCS, the New Jersey back bays were identified as a high-risk area requiring further in-depth analysis of the effectiveness of surge barriers and coastal wetlands to reduce water levels in the back bays during storms. This paper will discuss the analysis of a set of coastal wetland configurations in the New Jersey back bay region simulated with a set of 10 synthetic storm suite selected from the NACCS study.   Analysis of maximum surge envelopes, water level time series, and characteristics of tropical storm forcing conditions were used to evaluate and compare the effectiveness of the wetland configurations.</p>

scholarly journals Operational hydrodynamic model for forecasting extreme hydrographic events in the Oder Estuary

2005 ◽  
Vol 36 (4-5) ◽  
pp. 411-422 ◽  
Author(s):  
Halina Kowalewska-Kalkowska ◽  
Marek Kowalewski
Keyword(s):  
Ocean Circulation ◽  
Hydrodynamic Model ◽  
Circulation Model ◽  
Emergency Situation ◽  
Storm Surges ◽  
Ocean Model ◽  
Water Levels ◽  
Port Operation ◽  
Coastal Ocean Circulation ◽  
The Baltic

A 3D operational hydrodynamic model, developed at the Institute of Oceanography, University of Gdansk, was used to forecast extreme hydrographic events in the Oder Estuary. The model was based on the coastal ocean circulation model known as the Princeton Ocean Model (POM); it was adapted to Baltic conditions and to a 48-h numerical meteorological forecast. Wind-driven water backup in the Oder mouth necessitated working out a simplified operational model of river discharge, based on water budget in a stream channel. The model generates 60-h forecasts of water levels, currents, water temperature and salinity in the estuary. As the model adequately approximates hydrographic variability in the estuary, it can be regarded as a reliable tool for storm surges forecasting and for the assessment of Oder water spread in the Baltic. The forecast is rapidly accessed on its designated website, thereby providing assistance in decision-making by emergency situation centres and bodies that are responsible for navigation safety, port operation and environmental and flood protection of coastal areas. It is intended to fine-tune the model so that a better fit between the observed and computed data is obtained.

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