Évaluation intégrée de la qualité d’un milieu récepteur basée sur des données en continue validées et la modélisation de la qualité

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Efficiency criteria for environmental model quality assessment: A review and its application to wastewater treatment

In various cases in environmental modeling, modelers need to account for multiple variables and multiple objectives in systems with many processes occurring at different time scales. To assist the modeler to choose a relevant pool of efficiency criteria, a method is proposed to identify dissimilar criteria. A total of 30 efficiency criteria used in environmental modeling are critically reviewed and classified into six groups according to different modeling objectives. After accounting for equivalence of functional form 18 criteria remain for further analysis. To quantify the dissimilarity for the remaining criteria a methodology based on the ratio of shared parameter sets in regions of good performance is proposed. Then, for a wastewater treatment plant case-study the dissimilarity of efficiency criteria is analyzed as a function of target variables and operating conditions

Calibration and validation of a phenomenological influent pollutant disturbance scenario generator using full-scale data

The objective of this paper is to demonstrate the full-scale feasibility of the phenomenological dynamic influent pollutant disturbance scenario generator (DIPDSG) that was originally used to create the influent data of the International Water Association (IWA) Benchmark Simulation Model No. 2 (BSM2). In this study, the influent characteristics of two large Scandinavian treatment facilities are studied for a period of two years. A step-wise procedure based on adjusting the most sensitive parameters at different time scales is followed to calibrate/validate the DIPDSG model blocks for: 1) flow rate; 2) pollutants (carbon, nitrogen); 3) temperature; and, 4) transport. Simulation results show that the model successfully describes daily/weekly and seasonal variations and the effect of rainfall and snow melting on the influent flow rate, pollutant concentrations and temperature profiles. Furthermore, additional phenomena such as size and accumulation/flush of particulates of/in the upstream catchment and sewer system are incorporated in the simulated time series. Finally, this study is complemented with: 1) the generation of additional future scenarios showing the effects of different rainfall patterns (climate change) or influent biodegradability (process uncertainty) on the generated time series; 2) a demonstration of how to reduce the cost/workload of measuring campaigns by filling the gaps due to missing data in the influent profiles; and, 3) a critical discussion of the presented results balancing model structure/calibration procedure complexity and prediction capabilities