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Script for processing street flood reports


Authors: Jeff Sadler
Owners: Jonathan Goodall · Jeff Sadler
DOI:10.4211/hs.38a4ce62960942b4ad8398ee58a777cf How to Cite
Resource type:Composite Resource
Created:Jan 02, 2018 at 9:22 p.m.
Last updated: Mar 02, 2018 at midnight by Jeff Sadler

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

Python,Street flooding

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

Sharing status:

  • Published Resource  Published

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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Authors

The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone Author Identifiers
Jeff Sadler University of Virginia
Relations
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

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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