The Model explorer in InfoSewer SA combines the Scenario Explorer, Run Manager and the Operation and Attribute Tabs.
The Run Manager is used to perform simulations and manage simulation options.
The Scenario Explorer is where InfoSewer SA allows the user to create, delete and … Read the rest
InfoSewer, InfoSewer SA, EPS Mass Balance
The Extended Period (EPS) simulation has a Mass Balance at the bottom of the Text Output Report
The Run Manager is used to perform simulations and to manage simulation output sources (results). Three individual simulation types are available from the Run Manager: Steady-State , Design, and Extended Period Simulation/Dynamic simulation (including quality analyses). You may also use the … Read the rest
Head loss due to Transitions and Fittings (Local loss)
Whenever flow velocity changes direction or magnitude in a conduit (e.g., at fittings, bends, and other appurtenances) added turbulence is induced. The energy associated with that turbulence is eventually dissipated into heat that produces a minor head loss, or local (or … Read the rest
This table contains all subwatershed data that is used to estimate the amount of runoff and pollutant yielding from Subwatersheds. For more information on each of the input (data fields) in this table, Subcatchment editor may be referred. The following table is in … Read the rest
InfoSWMM H2OMap SWMM InfoSWMM SA offers 12 choices for modeling surface runoff (click on link to see more information on each method):
InfoSewer SA tracks the movement of wastewater flowing through the network over an extended period of time under varying wastewater loading and operating conditions. The extended period simulation (EPS) model implemented in InfoSewer SA is a fully dynamic (unsteady) model and is predicated on … Read the rest
The Water Quality Simulation Parameters govern how the engine performs the additional water quality calculations during a simulation.
It is not normally necessary to amend the Water Quality Simulation Parameters. The default values have been chosen for optimum accuracy and performance. However, these parameters can … Read the rest
Calibration Functions for the InfoSWMM and InfoSWMM SA Calibrator
When calibrating a Stormwater management model, the goal is to determine the best set of InfoSWMM model parameters which produces the lowest overall deviation between the numerically simulated model results and the observed field data at user specified locations in the … Read the rest
LID Results - Summary Report
The performance of the LID controls placed in a Subcatchment is reflected in the overall runoff, infiltration, and evaporation rates computed for the Subcatchment as normally reported by SWMM5. The SWMM's Output Modeling Report also contains a section entitled LID Performance Summary that provides an … Read the rest
Excerpt from the EPA manual Storm Water Management Model Reference Manual Volume III – Water Quality (PDF) which can be found here
Management of stormwater quality is usually performed through a combination of so-called “best management practices” (BMPs) and a form … Read the rest