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.
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|Content types:||Single File Content|
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.
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|The content of this resource serves as the data for:||https://www.hydroshare.org/resource/712cd2ce8f604c8f824d6836ee3fcb53/|
|The content of this resource was created by:||https://www.hydroshare.org/resource/5db7884111fb4662a13f64707c0c6890/|
|This resource cites:||https://doi.org/10.1016/j.jhydrol.2018.01.044|
|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|
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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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
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