Sewer pipeline operational condition prediction using multiple regression

One of the key factors for better performance of sewer pipeline networks is proper monitoring of existing operational or hydraulic condition of pipes. The hydraulic performance of sewer networks involves many uncertainties and is dependent upon vulnerability and retention capacity of each pipe segment in the concerned network. Random inspections of pipes are expensive. This paper suggests an objective methodology for evaluating operational condition of pipes. A multiple regression model is developed on the basis of historic condition assessment data for predicting existing operational condition rating of sewers. The regression model produces a most likely existing operational condition rating of pipes by utilizing simple inventory data. The developed model is intended to assist municipal engineers in identifying critical segments influencing overall hydraulic performance of the system.