Input data for flood severity modeling in Norfolk, VA
|Owners:||Jeff Sadler · Jonathan Goodall|
|DOI:||10.4211/hs.ff8be5aea3224c15b262bfddd5fb6033 How to Cite|
|Resource type:||Composite Resource|
|Created:||Dec 21, 2017 at 5:14 p.m.|
|Last updated:||Mar 02, 2018 at midnight by Jeff Sadler|
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: https://doi.org/10.1016/j.jhydrol.2018.01.044.
Data-driven modelling,Coastal flooding,Urban flooding
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
|Coordinate System/Geographic Projection:||WGS 84 EPSG:4326|
|Coordinate Units:||Decimal degrees|
|Jeff Sadler||University of Virginia|
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This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|Mid-Atlantic Transportation Sustainability Center|
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