Data-driven street flood severity modeling in Norfolk, Virginia USA 2010-2016
|Owners:||Jeff Sadler · Jonathan Goodall|
|Resource type:||Collection Resource|
|Created:||Jul 24, 2017 at 4:03 p.m.|
|Last updated:||Oct 19, 2018 at 1:41 a.m. by Jeff Sadler|
This resource aggregates several resources related to street flood severity modeling in Norfolk, Virginia USA. The resources include raw and pre-processed data, scripts used to perform the pre-processing, scripts used to train data-driven algorithms, and results from the models. The models used crowd-sourced street flood reports as target values and environmental data as input values. The resources in this aggregate resource are used to generate the results for this Journal of Hydrology paper: https://doi.org/10.1016/j.jhydrol.2018.01.044.
A diagram showing how these resources relate is shown in the "Resource workflow diagram for street flood severity modeling in Norfolk, VA 2010-2016" resource.
Crowd-sourced data,Data-driven modeling,Time Series,Machine learning,Coastal flooding,Flood modeling
How to cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
|Coordinate System/Geographic Projection:||WGS84 EPSG:4326|
|Coordinate Units:||[u'Decimal degrees']|
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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