Leading global innovator of smart wet infrastructure and business analytics software announced the launch of the RDII Analyst (Rainfall-Derived Inflow and Infiltration) Generation V14.5 for InfoSWMM and InfoSWMM SA, and cementing Innovyze’s commitment to providing the world with the most complete toolset for managing, operating, and sustaining high-performing sewer systems. The new and updated version offers both new and expanded functionalities, supporting the quantification of RDII and is able to assist in sewer capacity analysis as well as assess sewer condition and prioritise rehabilitation processes.
Excessive wet weather flow from rainfall-derived manhole and pipe defect inflow and infiltration is one of the major factors behind sanitary and combined sewer overflows. Controlling these overflows is important in lowering the risk to public health while also guarding the environment against water pollution and contamination. To determine the optimal remedial solutions to avoid overflows; reduce RDII; and improve system integrity, performance, and reliability, computer modelling plays a crucial role.
It is a long and complicated process to convert rainfall into RDII flow in sanitary sewer systems. On top of rainfall and antecedent moisture conditions, other factors that contribute to controlling RDII responses include depth to bedrock and groundwater, soil characteristics, and type of storm drainage system, among others. With the degree of complexity involved, the flow-monitoring data must be integrated with mathematical modelling and analytics in order to deliver accurate results.
Wastewater flow monitoring data obtained via sewer collection systems are composed of dry-weather flow components, ground water flow, and 18 RDII flow components. However, a crucial step in successfully modelling sewer collection systems is the ability to decompose flow-monitoring data into the RDII flow, dry weather flow, ground water flow, as well as its flow patterns every day of the week.
The RDII Analyst is far superior to the EPA Sanitary Sewer Overflow Analysis and Planning (SSOAP) programme; powered by advanced genetic algorithm (GA) optimisation and comprehensive data analytics and scenario management, it is capable of rapidly and reliably performing these types of advanced flow decomposition data monitoring.
V14.5 has been expanded with a simple and interactive visual curve fitting in order to facilitate determination of the unit hydrograph parameters. With the RDII hydrographs, R, T, K, as well as related monthly storage parameters can determined by graphically comparing the total RDII hydrographs – generated by the user’s defined from the R, T, K parameters – with the RDII hydrographs from the monitored data. Numerical comparisons of the total RDII volume can also be made with the sum of volume under each of the unit hydrographs, confirming the success of the curve fitting.
Additionally, V14.5 has been improved to allow assessment of the given unit hydrograph data on selective month or annual average; comparison data graphing of ant RDII variables; comparison data graphing of multiple analysis results to enable users to analyse runs from a variety of sewershed areas; and coverage of the full range of standard unit hydrograph.
Moreover, V14.5 features an improved version of the latest United States Environmental Protection Agency (USEPA) SWMM5 (Storm Water Management Model) engine with greatly enhanced performance and capabilities. It allows users to analyse and rank solutions by using a number of statistical methods and offers the ten best, optimal, solution sets for result ranking and selection. It also allows users to conduct numerous runs within an analysis for parameter and criteria evaluation along with multiple analyses for various sewershed areas and rainfalls within an RDII-Analyst project for scenario comparison. With it, users will have the ability to filter out a period of flow and rainfall data for the RDII analysis, effectively removing any storms or events prior analysis, as well as save and load results of the analysis.
This comprehensive and wide range of capabilities offers users not only an effective means for designing a focused sewer condition assessment programme while also maximising the success of investigative efforts in the field, but also for assessing the post-rehabilitation performance of the sewer system using the pre- and post-sewer capacity analysis.
“Innovyze continues to listen to our customers, invest very heavily in R&D (research and development), and deliver the advanced tools they need to effectively support their wastewater and urban drainage modelling and management challenges,” Paul F Boulos, CEO of Innovyze, said. “We are very excited that our vast worldwide customer base will now be able to use the powerful new features in RDII Analyst to enhance their modelling experiences, wrap better projects faster, and strengthen our communities’ sewer systems.”