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Script for combining street flood severity model input, output


Authors: Jeff Sadler
Owners: Jonathan Goodall · Jeff Sadler
DOI:10.4211/hs.5db7884111fb4662a13f64707c0c6890 How to Cite
Resource type:Composite Resource
Created:Jan 02, 2018 at 9:33 p.m.
Last updated: Mar 02, 2018 at midnight by Jeff Sadler

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

Python,Data-driven modeling,Urban flood modeling

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/
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

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