New optimization strategies for SWMM modeling of stormwater quality applications in urban area.

Build-up/wash-off models were originally developed for small-scale laboratory facilities with uniform properties. The effective translation of these models to catchment scale necessitates the meticulous calibration of model parameters. The present study combines the Mat-SWMM tool with a genetic algorithm (GA) to improve the calibration of build-up and wash-off parameters. For this purpose, Mat-SWMM was modified to equip it with the capacity to provide comprehensive water quality analysis outcomes. Additionally, this research also conducts a comparative examination of two distinct types of objective functions in the optimization. Rather than depending on previous literature, this study undertook a numerical campaign to ascertain an appropriate range for the relevant parameters within the case study, thereby ensuring the optimization algorithm's efficient functionality. This research also implements an integrated event calibration approach, i.e., a novel method that calibrates all rainfall events collectively, thus improving systemic interaction representation and model robustness. The findings indicate that employing this methodology significantly enhances the reliability of the outcomes, thereby establishing a more robust procedure. The first objective function (TSS instantaneous less squared difference function, OF 1), which is widely employed in the literature, was designed to minimize the difference between observed and predicted instantaneous Total Suspended Solids (TSS) concentrations. In contrast, the second function (mass and mass peak consistency function, OF 2) considers integral model outputs, i.e., the overall mass balance, the time of the peak mass flow rate, and its intensity. The analysis of the outputs revealed that both objective functions demonstrated sufficient performance. OF 1 provided slightly better performance in predicting the TSS concentrations, whereas OF 2 demonstrated superior ability in capturing global event characteristics. Notably, the optimal parameter set identified through OF 2 aligned with the physically plausible ranges traditionally recommended in technical manuals for urban catchments. In contrast, OF 1's optimal set necessitated an expansion in the acceptable parameter ranges. Finally, from a computational burden viewpoint, OF 1 demanded a significantly higher number of function evaluations, thus implying an escalating computational cost as the range expands. Conversely, OF 2 necessitated fewer evaluations to converge toward the optimal solution.

Testing an innovative first flush identification methodology against field data from an Italian catchment.

This paper studies in depth the first flush concept with the aim of exploiting the potential of this phenomenon for an effective and economical implementation of stormwater quality control practices. A quantitative first flush methodology recently proposed in the scientific literature is applied to discrete water quality data of different pollution parameters from an Italian database. The methodology is rigorous and effective for characterising the dynamics of different pollutant types in wet-weather runoff, allowing an assessment of the first flush strength and the detection of the runoff volume required to reduce concentrations to background levels peculiar of the catchment. A strong reduction in concentration is attained after 3 mm runoff, but the achievement of background levels for all pollutant parameters requires the transit of 6 mm runoff. Sensitivity analysis shows the crucial role of the event selection criteria for enhancing the robustness of the methodology. The advantages of the adopted procedure are also highlighted by comparison with the widely used Mass First Flush Ratio method. The results are also compared with Italian guidelines for the design of stormwater quality control measures, pointing out the fruitfulness and profitability of the methodology for decision making in this context.

Performance of stormwater detention tanks for urban drainage systems in northern Italy.

The performance of stormwater detention tanks with alternative design configurations (insertion in the storm sewer network; volume per impervious hectare) and operating conditions (continuous and intermittent emptying rules) have been evaluated according to an integrated approach. Various performance indices have been adopted to describe the mitigation of the pollution impact to the natural environment, the reduction of the management and maintenance charges for the urban drainage system, the preservation of the normal purification efficiency, and the limitation of the costs at the treatment plant. The US EPA Storm Water Management Model has been used to simulate the rainfall-runoff process and the pollutant dynamics on theoretical catchments and storm sewer networks for an individual event, as well as for a continuous run of events and inter event periods of one year recorded at the rain gauge of Cascina Scala (Pavia, northern Italy). Also the influence of the main characteristics of the urban catchment and the drainage system (area of the catchment and slope of the network) on the performance of alternative design and operating solutions has been examined. Stormwater detention tanks combined with flow regulators demonstrated good performance with respect to environmental pollution: satisfactory performance indicators can be obtained with fairly low flow rates of flow regulators (0.5-1 L/s per hectare of impervious area) and tank volumes of about 35-50 m(3) per impervious hectare. Continuous emptying guaranteed the lowest number and duration of overflows, while an intermittent operation minimised the volume sent for purification reducing the costs and the risks of impairment in the normal treatment efficiency of the plant. Overall, simulation outcomes revealed that the performance indexes are scarcely affected by the area of the catchment and the slope of the drainage network. The result of this study represents a key issue for the implementation of environmental policies in large urban areas.

The performance evaluation of wastewater service: a protocol based on performance indicators applied to sewer systems and wastewater treatment plants.

This research aimed to identify a tool to objectively analyse the performance and the environmental contextualisation of sewer systems (SwSs) and wastewater treatment plants (WWTPs). This procedure performs assessment by calculating performance indices which could be subsequently applied to SwSs and WWTPs with different characteristics. The proposed tool can be applied conveniently over the years by managers of integrated urban water management systems for the analysis of different realities also allowing the evaluation of the effects of upgrades carried out during the management phases. The proposed analysis allows the optimisation of SwSs and can profitably guide the choice and the priority among possible interventions for the sewerage infrastructure and WWTPs providing a verification and evaluation protocol as well as a financial planning tool.