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Script for processing street flood reports

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Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type:	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. (Metadata update)
Published date:	Mar 01, 2018 at 10:12 p.m.
DOI:	10.4211/hs.38a4ce62960942b4ad8398ee58a777cf
Citation:	See how to cite this resource
Content types:	Single File Content

Sharing Status:	Published
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Abstract

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.

Subject Keywords

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

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Related Resources

The content of this resource references

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

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
Mid-Atlantic Transportation Sustainability Center

How to Cite

Sadler, J. (2018). Script for processing street flood reports, HydroShare, https://doi.org/10.4211/hs.38a4ce62960942b4ad8398ee58a777cf

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

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

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