Join Collection Systems Practice Leader Robert Czachorski as the Antecedent Moisture Model (AMM) is presented for a second year at the 2022 ICWMM

For two days in March, civil engineers and environmental professionals will come together virtually at ICWMM to exchange ideas and best practices related to stormwater management, non-point source pollution, and urban water systems – with an emphasis on emerging technologies.  

David Edgren, RJN Group; William Gonwa, Milwaukee School of Engineering; and Robert Czachorski, OHM Advisors Collection Systems Practice Leader; join the discussion with recent improvements to Czachorski’s once-proprietary Antecedent Moisture Model (AMM), published in the Journal of Water Management Modeling and released into the public domain in 2021.

Title: Improving Model Hydrology Accuracy Using Antecedent Moisture Modeling: Reparameterization Update and Case Study

Session Date and Time: Wednesday, March 2 at 3:15 PM

Summary: Developed by Robert Czachorski over two decades and presented at ICWMM last year, the Antecedent Moisture Model (AMM) is a hydrologic equation used to account for antecedent moisture conditions and their impact on sanitary sewer flows. AMM has been successful in modeling sanitary sewer infiltration, for which prior methods perform poorly, but a group of AMM users recently reparamatized the original model to help improve interpretability and ease of use. The newly designed model has proven to be more intuitive, scale-independent, and timestep independent while remaining essentially equivalent to the original model. This presentation will explain these changes and introduce a case study where the AMM helped a city save $8 million.

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