Script for combining street flood severity model input, output

Authors:
Owners:
Resource type:	Composite Resource
Storage:	The size of this resource is 237.6 KB
Created:	Jan 02, 2018 at 9:33 p.m.
Last updated:	Mar 01, 2018 at 10:12 p.m.
DOI:	10.4211/hs.5db7884111fb4662a13f64707c0c6890
Citation:	See how to cite this resource
Content types:	Single File Content

Sharing Status:	Published
Views:	1007
Downloads:	144
+1 Votes:	Be the first one to this.
Comments:	No comments (yet)

Abstract

Script and accompanying notebook written in Python 2.7 for combining flood report data (output) and environmental data (input) into a format suitable for a data-driven model. These data used as target values for street data-driven flood prediction severity modeling for Norfolk, VA 2010-2016. This modeling is described in this Journal of Hydrology paper: https://doi.org/10.1016/j.jhydrol.2018.01.044.

Subject Keywords

Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

North Latitude

36.9657°

East Longitude

-76.1665°

South Latitude

36.8064°

West Longitude

-76.3341°

Temporal

Start Date:
End Date:

Content

Learn more

Select a file to see file type metadata.

References

Related Resources

This resource cites:

https://doi.org/10.1016/j.jhydrol.2018.01.044

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

How to Cite

Sadler, J. (2018). Script for combining street flood severity model input, output, HydroShare, https://doi.org/10.4211/hs.5db7884111fb4662a13f64707c0c6890

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

http://creativecommons.org/licenses/by/4.0/

Comments

There are currently no comments