Foul sewer model development using geotagged information and smart water meter data

• Geotagged information is used to calibrate FSS hydraulic variables. Water consumption data are employed for uncertainty analysis. The utility of the proposed method demonstrated using two real FSSs. Hydraulic modeling a foul sewer system (FSS) enables better understanding behavior and its effective management. However, there generally lack sufficient field measurement model development due low number in-situ sensors collection. To this end, study proposes new develop models based on geotagged water from smart meters that readily available. Within method, each manhole firstly associated with particular population whose size estimated data. Subsequently, two-stage optimization framework developed identify daily time-series inflows physical connections between manholes as well sensor observations. Finally, analysis by mapping probability distributions captured stochastic variations wastewater discharges. Two real-world FSSs demonstrate effectiveness method. Results show can significantly outperform traditional approach in accurately simulating values ranges variables (manhole depths flows). promising easy availability near future. .