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Inputs for Random Forest model (pluvial and tidal events)


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Created: Oct 13, 2021 at 1:58 p.m.
Last updated: Oct 16, 2021 at 1:30 p.m.
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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

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Norfolk, VA
North Latitude
36.9766°
East Longitude
-76.1798°
South Latitude
36.8129°
West Longitude
-76.3542°

Temporal

Start Date:
End Date:

Content

How to Cite

Zahura, F. (2021). Inputs for Random Forest model (pluvial and tidal events), HydroShare, http://www.hydroshare.org/resource/d25a394aa0644e51a0b0bfab5ab2dbf0

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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