The Most Powerful and Comprehensive ArcGIS™-Centric Urban Drainage Management Solution


InfoSWMM Calibrator

click to enlargeModel calibration is an essential part of engineering modeling. This process is required for developing a rigorous urban drainage network model that can be used with confidence in making reliable, cost-effective design, operational and improvement recommendations.

Until now, calibrating an urban drainage network model was an exhaustive trial-and-error process of adjusting the model input (sensitive) parameters using basic engineering judgment until the model results coincide with observed field conditions. To be effective, such calibration must consider extensive time series of measured data such as an entire wet weather season of a particular year, a year or even multiple years of actual flow measurement data to ensure that the model accurately simulates the actual physical system under all conditions. Because an urban drainage network model can contain dozens of sensitive parameters and the volume of available times series of measured data can be quite large, manual calibration is an expensive, time-consuming process and normally represents the most painful step of a modeling project. For this reason, model calibration is often not performed, or performed haphazardly.

InfoSWMM Calibrator makes it possible to automatically, reliably and expeditiously calibrate very large and complex urban rainfall-runoff models leading to better analysis and design. It uses the latest advances in Genetic Algorithms optimization technology for high-end performance calibration. It offers the fastest, most comprehensive micro-level water distribution model calibration capabilities available that allow users to produce optimal model calibration in just minutes. The program's incredible ease of data exchange and integration with existing network models and GIS systems further enhance its value.


InfoSWMM Calibrator fully automates and greatly simplifies the traditional calibration process, making urban drainage model calibration a remarkably easy and enjoyable task. InfoSWMM Calibrator considers any combination of flow, depth, and/or velocity measurements, quickly adjusting user-selected model parameters to best reflect what is actually occurring in the system. Five distinct groups of urban drainage network parameters, and any of their combination, can be automatically determined. These are:

• Subcatchment groups such as subcatchment runoff parameters and groundwater parameters including area, width, percent imperviousness, slope, Manning's N for pervious and impervious subareas, depression storage for pervious and impervious subareas, Colorado Urban Hydrograph Procedure parameters such as length, centroid distance, CIA fraction, RPA fraction, lag time for Natural Resources Conservation Service's dimensionless and triangular unit hydrograph method, groundwater flow coefficient, surface water flow coefficient, groundwater flow exponent, surface water flow exponent, surface-groundwater interaction coefficient).
• Soil groups (i.e., infiltration parameters) including Horton's Infiltration parameters such as maximum infiltration rate, minimum infiltration rate, decay rate, drying time, maximum volume; Green-Ampt parameters such as suction, conductivity, initial deficit and Curve Number parameters such as curve number, conductivity, and drying time.
• Aquifer group including porosity, wilting point, field capacity, conductivity, conductivity slope, tension slope, upper evaporation fraction, lower evaporation depth, bottom elevation, water table elevation, and unsaturated zone moisture.
• RDII group (i.e., RDII unit hydrograph parameters) including R, T, and K for short-term, medium-term, and long-term responses.
• Conduit group which includes the Manning's roughness coefficient.

The parameters are not allowed to exceed the maximum or be less than their minimum physically-meaningful limits. 

Extremely flexible and powerful, InfoSWMM Calibrator offers various goodness-of-fit evaluation criteria including: 

• Simple Least Square Error
• Mean Least Square Error
• Root Mean Square Error
• Nash-Sutcliffe Efficiency Criterion
• Modified Coefficient of Efficiency
• R-Square
• Deviation in total volume of observed and simulated values
• First Dimensionless Form of Simple Least Square Error
• Dimensionless Form of Root Mean Square Error

Calibration can be performed considering: 

• Entire time series (i.e., all available measurements)
• Only peak values ( i.e., measurements exceeding desired threshold)
• Only low values (i.e., measurements less than desired threshold)

Results can be summarized using:

• Tabular report
• Graphical Comparison of measured and simulated values
• Correlation plot of simulated and measured values
• Statistical summary for every measurement site
◦ All Goodness-of-fit evaluation criteria described above are reported for every measurement site
◦ Basic statistics such as mean and standard deviation of observed data as well as simulated values are reported

In summary, InfoSWMM Calibrator allows wastewater engineers to generate credible models to help them optimize system performance and capital improvement programs while saving a tremendous amount of time and money, and without sacrificing accuracy or ease of use.

Application Dependent - InfoSWMM Suite.

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