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Script for processing street flood reports


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Resource type: Composite 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.
DOI: 10.4211/hs.38a4ce62960942b4ad8398ee58a777cf
Citation: See how to cite this resource
Content types: Single File Content 
Sharing Status: Published
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Downloads: 40
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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.

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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

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

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/
CC-BY

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