Managing sewer and stormwater overflows in the face of increasing intensity and frequency of wet weather events is a serious challenge for many utilities. Doing so affordably is even harder.
This webinar will explore how Grand Rapid, Michigan embraced the use of machine learning to optimize their newly separated sewer system. By utilizing a data-driven decision-making approach, they demonstrated to regulators that perceived infiltration and inflow challenges – both operational and environmental – could be solved for substantially less cost than traditional engineering solutions.
