Mohamed Morsy
University of Virginia | Graduate Research Assistant
Subject Areas: | Hydrology, Water Resources, Hydroinformatics |
Recent Activity
ABSTRACT:
Test MI resource for netcdf metadata recognition
ABSTRACT:
The EPA Storm Water Management Model (SWMM) is a dynamic rainfall-runoff simulation model used for single event or long-term (continuous) simulation of runoff quantity and quality from primarily urban areas. The runoff component of SWMM operates on a collection of subcatchment areas on which rain falls and runoff is generated. The routing portion of SWMM transports this runoff through a conveyance system of pipes, channels, storage/treatment devices, pumps, and regulators. SWMM tracks the quantity and quality of runoff generated within each subcatchment, and the flow rate, flow depth, and quality of water in each pipe and channel during a simulation period comprised of multiple time steps. SWMM was first developed back in 1971 and has undergone several major upgrades since then. The current edition, Version 5, is a complete re-write of the previous release. Running under Windows, EPA SWMM 5 provides an integrated environment for editing drainage area input data, running hydraulic and water quality simulations, and viewing the results in a variety of formats. These include color-coded drainage area maps, time series graphs and tables, profile plots, and statistical frequency analyses.
ABSTRACT:
MODFLOW groundwater flow model for Upper Chester (MD) watershed.
ABSTRACT:
Modeling decenteralized technique to mitigate flooding in urbanized watersheds by using EPA-SWMM. The study area is Rocky Branch watershed, Columbia, SC. All the uploaded files for this instance are in full version except the input file. The input file just shows how the sub-catchments look like in the Rocky Branch watershed area. The full version of the input file will be uploaded once the paper is accepted.
ABSTRACT:
Extracting and Visualizing Streamflow Network Coordinates for a given outlet using EPA WATERS Web Services
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ABSTRACT:
Extracting and Visualizing Streamflow Network Coordinates for a given outlet using EPA WATERS Web Services
ABSTRACT:
Modeling decenteralized technique to mitigate flooding in urbanized watersheds by using EPA-SWMM. The study area is Rocky Branch watershed, Columbia, SC. All the uploaded files for this instance are in full version except the input file. The input file just shows how the sub-catchments look like in the Rocky Branch watershed area. The full version of the input file will be uploaded once the paper is accepted.
ABSTRACT:
MODFLOW groundwater flow model for Upper Chester (MD) watershed.
Created: June 3, 2015, 7:17 p.m.
Authors: Lewis Rossman · Trent Schade · Daniel Sullivan · Robert Dickinson · Carl Chan · Edward Burgess
ABSTRACT:
The EPA Storm Water Management Model (SWMM) is a dynamic rainfall-runoff simulation model used for single event or long-term (continuous) simulation of runoff quantity and quality from primarily urban areas. The runoff component of SWMM operates on a collection of subcatchment areas on which rain falls and runoff is generated. The routing portion of SWMM transports this runoff through a conveyance system of pipes, channels, storage/treatment devices, pumps, and regulators. SWMM tracks the quantity and quality of runoff generated within each subcatchment, and the flow rate, flow depth, and quality of water in each pipe and channel during a simulation period comprised of multiple time steps. SWMM was first developed back in 1971 and has undergone several major upgrades since then. The current edition, Version 5, is a complete re-write of the previous release. Running under Windows, EPA SWMM 5 provides an integrated environment for editing drainage area input data, running hydraulic and water quality simulations, and viewing the results in a variety of formats. These include color-coded drainage area maps, time series graphs and tables, profile plots, and statistical frequency analyses.
Created: April 23, 2021, 7:23 a.m.
Authors: Maghami, Iman
ABSTRACT:
Test MI resource for netcdf metadata recognition