Please wait for the process to complete.
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
||This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (firstname.lastname@example.org) for information on this resource.|
|Storage:||The size of this resource is 99.5 KB|
|Created:||Jan 02, 2018 at 9:22 p.m.|
|Last updated:|| Mar 01, 2018 at 10:12 p.m.
|Citation:||See how to cite this resource|
|Content types:||Single File Content|
|+1 Votes:||Be the first one to this.|
|Comments:||No comments (yet)|
Script and accompanying notebook written in Python 2.7 for processing street flood reports made by City of Norfolk staff. The output data from this script were used as target values for street data-driven flood prediction severity modeling. This modeling is described in this Journal of Hydrology paper: https://doi.org/10.1016/j.jhydrol.2018.01.044.
|The content of this resource references||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|
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/