Innovyze Releases RDII Analyst Generation V14.5

Innovyze announced the release of RDII Analyst (Rainfall-Derived Inflow and Infiltration) Generation V14.5 for InfoSWMM and InfoSWMM SA.

The new version delivers both new and expanded functionalities for the quantification of RDII and help capacity analysis and the condition assessment of sewer systems.

The release confirms Innovyze’s commitment to giving the world the most complete toolset for managing, operating and sustaining high-performing sewer systems. 

Excessive wet weather flow from rainfall-derived manhole and pipe defect inflow and infiltration is a major source of sanitary and combined sewer overflows.

Controlling these overflows is vital in reducing risks to public health and protecting the environment from water pollution. Computer modeling plays an important role in determining optimal remediainfl solutions that reduce RDII; improve system integrity, reliability and performance; and avoid overflows.

The processes for converting rainfall to RDII flow in sanitary sewer systems are very complicated. In addition to rainfall and antecedent moisture conditions, factors in controlling RDII responses include depth to groundwater, depth to bedrock, land slope, number and size of sewer system defects, type of storm drainage system, soil characteristics, and type of sewer backfill.

Given this degree of complexity, flow-monitoring data must be combined with mathematical modeling and analytics to provide accurate results. The wastewater flow monitoring data obtained by sewer collection systems consists of dry-weather flow components, ground water flow and eighteen (18) RDII flow components.

A crucial step in successfully modeling sewer collection systems is the ability to decompose flow-monitoring data into RDII flow, ground water flow and dry weather flow and its flow patterns (both weekday and weekend).

RDII Analyst is significantly superior to the EPA Sanitary Sewer Overflow Analysis and Planning (SSOAP) program.

Powered by advanced GA optimization and comprehensive data analytics and scenario management, it is able to quickly and reliably perform these types of advanced flow decomposition data monitoring.

V14.5 has been expanded with a simple and interactive visual curve fitting to facilitate determination of the unit hydrograph parameters.

R, T, K and associated monthly storage parameters can now be determined by graphically comparing the total RDII hydrographs generated by users’ defined R, T, K parameters with the RDII hydrographs from the monitored data.

• Numerical comparison of total RDII volume with the sum of volume under each of the unit hydrographs confirms the success of curve fitting. V14.5 has also been expanded to allow:
• Assessment of the given unit hydrograph data on selective month or annual average
• Coverage of the full range of standard unit hydrograph property data during the analysis process
• Comparison graphing of any RDII variables
• Comparison graphing of multiple analysis results to enable users to analyze runs from various sewer shed areas

V14.5 also features an enhanced version of the latest USEPA SWMM5 engine with greatly improved performance and capabilities. It enables users to analyze and rank solutions using various statistical methods and provides the ten best (optimal) solution sets for result ranking and selection.

It also allows users to conduct multiple runs within an analysis for parameter and criteria evaluation as well as multiple analyses for different sewershed areas and rainfalls within an RDII-Analyst project for scenario comparison.

Users now have the ability to filter out a period of flow and rainfall data for the RDII analysis, dynamically eliminate any storms/events prior to analysis, and save and load analysis results. These comprehensive capabilities offer an effective means for designing a focused sewer condition assessment program and maximizing the success of field investigation efforts.

They also provide an effective means for assessing the post-rehabilitation performance of the sewer system using the pre- and post-sewer capacity analysis.

Source: Innovyze

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