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| Type: | Resource | |
| Storage: | The size of this resource is 1.0 GB | |
| Created: | Oct 13, 2021 at 1:58 p.m. | |
| Last updated: | Oct 16, 2021 at 1:30 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 380 |
| Downloads: | 98 |
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Abstract
The tabular input and output data and script for the Random Forest surrogate model built for real-time street flood prediction in Norfolk, VA, USA. The Random Forest surrogate model approximates water depth on streets during pluvial and tidal flood events generated by a 1-D pipe/2-D overland flow hydrodynamic model TUFLOW. The model inputs are topographic features: topographic wetness index, depth to water and elevation, and environmental features such as hourly rainfall, cumulative rainfall in previous hours, hourly tide level, etc. The model's output is hourly water depth on streets during flood events generated by the TUFLOW model.
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Coverage
Spatial
Temporal
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How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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