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Related Experiment Video

Updated: Jun 21, 2026

Surrogate Model Development for Digital Experiments in Welding

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

In sewer processes: mathematical model development and sensitivity analysis.

P S Calabrò¹, G Mannina, G Viviani

¹Dipartimento di Meccanica e Materiali, Università Mediterranea di Reggio Calabria, Facoltà di Ingegneriavia Graziella-Feo di Vito, 89122 Reggio Calabria, Italy. paolo.calabro@unirc.it

Water Science and Technology : a Journal of the International Association on Water Pollution Research

|July 10, 2009

Summary

Italy is shifting to large, centralized wastewater treatment plants (WWTPs), increasing in-sewer processes. A sensitivity analysis optimized a sewer model by identifying key parameters for accurate calibration.

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Area of Science:

Environmental Engineering
Wastewater Treatment
Mathematical Modeling

Background:

Italian sewer networks traditionally used local wastewater treatment plants (WWTPs).
Increasingly stringent regulations necessitate a shift towards centralized, large-scale WWTPs in Italy.
This transition promotes significant in-sewer processes due to long interceptor sewers and high hydraulic retention times.

Purpose of the Study:

To adapt and apply the WATS (Wastewater Aerobic/anaerobic Transformation in Sewers) model to an Italian case study in Palermo.
To conduct a sensitivity analysis to identify crucial model parameters for reliable calibration.
To optimize the model application by focusing field and laboratory efforts on the most influential parameters.

Main Methods:

Utilized a modified WATS model for simulating in-sewer processes.
Performed a sensitivity analysis to evaluate the impact of various model parameters.
Integrated field data and laboratory analyses for parameter measurement and calibration.

Main Results:

The sensitivity analysis successfully identified the most significant model parameters.
The number of parameters requiring calibration was reduced from 24 to 14.
Chemical Oxygen Demand (COD) fractions, Y(Hw), and mu(H) were found to strongly influence model outcomes.

Conclusions:

Sensitivity analysis is crucial for optimizing sewer model calibration and focusing experimental efforts.
The study successfully adapted and applied the WATS model to a real-world Italian case.
Accurate evaluation of specific parameters like COD fractions is vital for reliable in-sewer process modeling.