MODELING DRY WEATHER WASTE-WATER FLOW IN SEWER NETWORKS

A model to predict the spatial and temporal variation of domestic dry weather flow in sewer networks was developed in this paper. A probabil istic framework was used to interpret intermittent appliance usage and methods for modeling the spatial distribution of inflow, and multiple appliances were developed. The concept of expected flow was introduce d to overcome the problem of converting short-term, intermittent input s into long-term, continuous baseflow suitable as an upstream boundary condition for a Muskingum-Cunge flow model. A small-scale domestic ap pliance usage survey was carried out to provide the necessary input da ta. The model was verified on a small combined sewer network in southe ast England, using 25 days of dry weather flow data. The accuracy of m ean daily and peak flows fell within +/- 10% of the measured values, a nd the overall fit of the data throughout the day was found to be good . The long-term variability of flow about its mean at any instant duri ng the day was also successfully modeled.