RDII calculations using machine learning with infinitii auto i&i
- Nathan Rudyk
- Mar 21
- 3 min read
Updated: Apr 16
Rainfall Derived Infiltration and Inflow (RDII) of extraneous stormwater and groundwater to sanitary sewers can unduly affect the capacity and operation of collection and treatment systems. Identifying where a problem is and how big it is gives utilities and their stakeholders the understanding they need to make decisions on required infrastructure investments.
This creates an immediate need for sound and defensible RDII estimation methods to support infiltration and inflow (I&I) reduction and remediation programs. Applying machine learning to system flow and rainfall data leads to accurate forecasting of I&I impacts that affect collection system capacity, treatment plant capacity, and offers easy comparisons of storm events to understand where costs are being incurred. Benefits include:
Cost savings with proactive I&I management - Prioritize system repairs and rehabilitation. Design infrastructure to better accommodate future growth. Save money by shifting from reactive to proactive I&I management.
Time-savings with automated daily updates - Receive daily updates on your collection system I&I issues versus waiting on seasonal, annual, or multi-year wait times for manually compiled engineering reports.
Visual representation of RDII – View all catchment areas in a GIS view with metrics that are color coded based on predetermined thresholds, with significant time-savings compared to manual methods of estimating I&I.
Mitigation planning - Improve wastewater services by granting municipalities more time to plan mitigation efforts through timely delivery of I&I analysis results.
Environmental benefits - Increase system resiliency and adaption to climate change.
Compliance reporting - As all storm events are covered and the data is delivered immediately after each storm event, infinitii auto i&i can assist with RDII reporting requirements where applicable.

infinitii ai uses the envelope method for calculating RDII. Each site that collects data can be explored by storm event allowing users to see hydrographs that include rainfall, flow and derived RDII volume.
According to the Water Environment Federation, RDII models require appropriate inputs and intricate computational algorithms to achieve intended analysis objectives and RDII quantification can be improved by collecting flow and rainfall monitoring data and observing system performance during various meteorological conditions.
With infinitii auto i&i, you can see changes to your collection system occur over a long period of time to determine the overall impact of a storm event. Since no storm event is exactly the same, you can click on different dates to compare storm events in a highly visual format.
As a supplemental application to infinitii flowworks, infinitii auto i&i allows you to visualize the RDII impact to your collection system automatically based on incoming sensor data. You can track storm events and the application’s machine learning algorithm continually creates and updates dry weather patterns.
Using incoming data, infinitii auto i&i color codes basins or catchment areas by key metrics allowing users to easily spot problems in their network. Key metrics can be customized by customer deployment to show the most important information for that area (e.g. RDII by catchment area - Gal/Acre, RDII Volume by Pipe Length – Gal/Lf, RDII by Pipe Area – GPM/IN-Mile etc.).

To learn how you can add the infinitii auto i&i application to your infinitii flowworks subscription, contact our sales department to set up a call and discuss your needs.
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