Input data for flood severity modeling in Norfolk, VA

Resource type: Composite Resource
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Created: Dec 21, 2017 at 5:14 p.m.
Last updated: Mar 01, 2018 at 10:10 p.m.
DOI: 10.4211/hs.ff8be5aea3224c15b262bfddd5fb6033
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Content types: Single File Content 
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This is tabular input data originally used in two data-driven models (Poisson regression and Random Forest) for predicting flood severity. The inputs to the model (or predictor variables) are environmental conditions such as cumulative rainfall, high and low tides, etc. The outputs (or target variable) of the model is the number of flood reports per storm event. This data was used in work that is described in the following paper published in the Journal of Hydrology:

Subject Keywords

Resource Level Coverage


Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
East Longitude
South Latitude
West Longitude


Start Date:
End Date:



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This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Data-driven street flood severity modeling in Norfolk, Virginia USA 2010-2016 Jeff Sadler · Jonathan Goodall  Public &  Shareable Open Access


Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Mid-Atlantic Transportation Sustainability Center

How to Cite

Sadler, J. (2018). Input data for flood severity modeling in Norfolk, VA, HydroShare,

This resource is shared under the Creative Commons Attribution CC BY.


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