The top ten most common mistakes in wastewater modelling

This paper explores some of the most common mistakes made in the development and utilisation of wastewater collection system models. Modelling is not an exact science, and it is critical that those who develop and utilise wastewater models understand the difference between interesting and important so that appropriate focus is given to avoid critical mistakes. This paper provides guidance based on significant experience across multiple projects, local and international, which relied on outputs from wastewater collection system models. Based on these projects a discussion of common mistakes and the potential consequences of these mistakes is provided. Issues pertaining to both model development (e.g. model network builds, field data collection and calibration) and model application will be covered citing specific examples from selected projects. This paper will provide guidance to the readers on how to avoid these mistakes and deliver higher quality results in developing options based on wastewater collection system models.