scholarly journals The Storm Surge and Sub-Grid Inundation Modeling in New York City during Hurricane Sandy

2014 ◽  
Vol 2 (1) ◽  
pp. 226-246 ◽  
Author(s):  
Harry Wang ◽  
Jon Loftis ◽  
Zhuo Liu ◽  
David Forrest ◽  
Joseph Zhang
Keyword(s):  
New York ◽  
New York City ◽  
Storm Surge ◽  
York City ◽  
Hurricane Sandy ◽  
Inundation Modeling

scholarly journals Road assessment after flood events using non-authoritative data

2013 ◽  
Vol 1 (4) ◽  
pp. 4155-4179 ◽  
Author(s):  
E. Schnebele ◽  
G. Cervone ◽  
N. Waters
Keyword(s):  
New York ◽  
New York City ◽  
Storm Surge ◽  
York City ◽  
Damage Assessment ◽  
Flood Damage ◽  
Hurricane Sandy ◽  
Flood Events ◽  
Geostatistical Interpolation ◽  
Damage Map

Abstract. This research proposes a methodology that leverages non-authoritative data to augment flood extent mapping and the evaluation of transportation infrastructure. The novelty of this approach is the application of freely available, non-authoritative data and its integration with established data and methods. Crowdsourced photos and volunteered geographic data are fused together using a geostatistical interpolation to create an estimation of flood damage in New York City following Hurricane Sandy. This damage assessment is utilized to augment an authoritative storm surge map as well as to create a road damage map for the affected region.

scholarly journals Cross-scale modeling of storm surge, tide, and inundation in Mid-Atlantic Bight and New York City during Hurricane Sandy, 2012

2020 ◽  
Vol 233 ◽  
pp. 106544 ◽  
Author(s):  
Zhuo Liu ◽  
Harry Wang ◽  
Y. Joseph Zhang ◽  
Linus Magnusson ◽  
J. Derek Loftis ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Storm Surge ◽  
York City ◽  
Hurricane Sandy ◽  
Scale Modeling

scholarly journals Road assessment after flood events using non-authoritative data

2014 ◽  
Vol 14 (4) ◽  
pp. 1007-1015 ◽  
Author(s):  
E. Schnebele ◽  
G. Cervone ◽  
N. Waters
Keyword(s):  
New York ◽  
New York City ◽  
Storm Surge ◽  
York City ◽  
Damage Assessment ◽  
Flood Damage ◽  
Hurricane Sandy ◽  
Flood Events ◽  
Geostatistical Interpolation ◽  
Damage Map

Abstract. This research proposes a methodology that leverages non-authoritative data to augment flood extent mapping and the evaluation of transportation infrastructure. The novelty of this approach is the application of freely available, non-authoritative data and its integration with established data and methods. Crowdsourced photos and volunteered geographic data are fused together using a geostatistical interpolation to create an estimation of flood damage in New York City following Hurricane Sandy. This damage assessment is utilized to augment an authoritative storm surge map as well as to create a road damage map for the affected region.

Hurricane Sandy, October 2012, New York City (USA)

2015 ◽  
Author(s):  
Barbra Mann Wall ◽  
Victoria LaMaina ◽  
Emma MacAllister
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Hurricane Sandy
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