Hi, I'm an error. x

Faria Zahura

University of Virginia

 Recent Activity

ABSTRACT:

This is the tabular output data from Random Forest surrogate model used to predict hourly water depth on streets during storm events in Norfolk, VA, USA. This include hourly water depth prediction made by the Random Forest model on testing storm events.

Show More

ABSTRACT:

This is a python script used to train and test a Random Forest model built for real-time street flood prediction in Norfolk, VA, USA.. The Random Forest surrogate model approximates water depth on streets generated by a 1-D pipe/2-D overland flow hydrodynamic model TUFLOW. The inputs of the model 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 output of the model is hourly water depth on streets during storm events generated by the TUFLOW model.

Show More

ABSTRACT:

This is tabular input data for 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 generated by a 1-D pipe/2-D overland flow hydrodynamic model TUFLOW. The inputs of the model 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 output of the model is hourly water depth on streets during storm events generated by the TUFLOW model.

Show More

ABSTRACT:

This is a HEC-HMS model for a watershed draining to Rapidian river near Ruckerville, VA which discharges through USGS station 01665500. The model was calibrated using storm event occurring at Piedmont Research Station which is 18 miles downstream to the USGS station.

Show More

 Contact

Resources
All 0
Collection 0
Composite Resource 0
Generic 0
Geographic Feature 0
Geographic Raster 0
HIS Referenced Time Series 0
Model Instance 0
Model Program 0
MODFLOW Model Instance Resource 0
Multidimensional (NetCDF) 0
Script Resource 0
SWAT Model Instance 0
Time Series 0
Web App 0
Model Instance Resource Model Instance Resource
Hydrologic Model for Rapidian River near Ruckersville, VA
Created: Nov. 21, 2017, 2:50 p.m.
Authors: Faria Zahura

ABSTRACT:

This is a HEC-HMS model for a watershed draining to Rapidian river near Ruckerville, VA which discharges through USGS station 01665500. The model was calibrated using storm event occurring at Piedmont Research Station which is 18 miles downstream to the USGS station.

Show More
Composite Resource Composite Resource

ABSTRACT:

This is tabular input data for 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 generated by a 1-D pipe/2-D overland flow hydrodynamic model TUFLOW. The inputs of the model 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 output of the model is hourly water depth on streets during storm events generated by the TUFLOW model.

Show More
Composite Resource Composite Resource

ABSTRACT:

This is a python script used to train and test a Random Forest model built for real-time street flood prediction in Norfolk, VA, USA.. The Random Forest surrogate model approximates water depth on streets generated by a 1-D pipe/2-D overland flow hydrodynamic model TUFLOW. The inputs of the model 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 output of the model is hourly water depth on streets during storm events generated by the TUFLOW model.

Show More
Composite Resource Composite Resource

ABSTRACT:

This is the tabular output data from Random Forest surrogate model used to predict hourly water depth on streets during storm events in Norfolk, VA, USA. This include hourly water depth prediction made by the Random Forest model on testing storm events.

Show More