Robust model for estimating pumping station characteristics and sewer flows from standard pumping station data

Area of Science:

• Environmental Engineering
• Hydraulic Engineering
• Wastewater Management

Background:

• Reliable sewer function diagnostics and problem identification (e.g., inflow and infiltration) depend on accurate flow data.
• Pumping stations are essential components of separate sewer systems, and their flow estimates can significantly aid in system monitoring.

Purpose of the Study:

• To develop a robust model and optimization procedure for estimating inflow to a pumping station.
• To utilize readily available data: registered water levels in the pump sump and power consumption.

Main Methods:

• A robust model was developed and optimized for inflow estimation.
• The model was tested using one month of data from a single upstream pumping station.

Main Results:

• The model successfully estimated inflow based on water levels and power consumption.
• The model effectively identified pump capacity and volume thresholds for pump switching.
• The model's suitability for flow estimation during high inflow or frequent pump switching was demonstrated.

Conclusions:

• The proposed model provides a viable method for estimating sewer inflow using accessible data from pumping stations.
• Accurate pump parameters derived from the model are crucial for reliable flow estimation in dynamic sewer conditions.
• Model sensitivity to observation errors in volume and inflow/outflow variability during transition states requires consideration.