Script for combining street flood severity model input, output
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| 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.
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| DOI: | 10.4211/hs.5db7884111fb4662a13f64707c0c6890 | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content |
| Sharing Status: | Published |
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| Downloads: | 74 |
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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.
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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: | |
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References
Related Resources
| This resource cites: | https://doi.org/10.1016/j.jhydrol.2018.01.044 |
| 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/
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