Sensitivity of regional water supply systems models to the level of skeletonization – a case study from Apulia, Italy

Simulation models supported by state-of-the-art software packages are nowadays available to explore operation rules of regional water supply systems or to select structural alternatives for improving long-term service performances. Given the, sometimes high, complexity of these systems, model calibration can become a lengthy procedure and many runs are necessary before obtaining convincing results. However, even after calibration, depending on system's complexity and the number of time steps investigated, a single run can take up to several minutes, even on state-of-the-art computers, so that simulation time can become a true bottleneck if such models are to be coupled with metaheuristic optimization techniques, such as genetic optimization. This paper investigates the possibility to reduce computational time through skeletonization of the models. The regional water supply system of Apulia, Southern Italy, was adopted as a case study and the software package AQUATOR was employed to model the syste

Improving the resilience to drought of the Apulian water resources system – an hydroeconomic model

The paper presents a hydro-economic model of the Apulian water resources system, in southern Italy, i.e. a mathematical programming model of the allocations explicitly accounting for the different values of water and for hydrological variability at the appropriate time scale. Traditionally a water-scarce region, Apulia is now supplied by extra-regional regulated surface resources as well as by a coastal aquifer; altogether, they constitute a multipurpose system with conflicting uses: municipal, irrigation and, to a lesser extent, industrial supply. The system is at present affected by high streamflow variability and by a high level of water losses along the urban distribution networks. In the model, the variability of surface water resources is accounted for by a 30-yrs. time series of seasonal streamflow into the reservoirs. The model provides the means to assess the effectiveness of different supply and demand side measures to improve the regional water balance and reduce drought impac

Scheletrizzazione di modelli di sistemi di approvvigionamento idrico regionali – Un caso di studio

In questo lavoro viene esaminata la possibilità di ridurre i tempi di calcolo, mediante la "scheletrizzazione" dei modelli, adottando come caso di studio un sistema di approvvigionamento idrico regionale reale, modellato in ambiente AQUATOR. La scheletrizzazione è stata in origine introdotta nel campo dell'ingegneria idraulica al fine di includere nei modelli idraulici delle reti solo le parti dalla rete reale che hanno un significativo impatto sul funzionamento del sistema, riducendo l'onere computazionale ma permettendo comunque di ottenere risultati accurati ed affidabili (Walski et al., 2007; Eggener & Polkowski, 1976; Shamir & Hamberg, 1988a,b). Il principio di base della scheletrizzazione è quello di tenere conto degli effetti delle parti di sistema non modellate, tramite le caratteristiche (capacità idraulica, domande, perdite idriche, costi unitari, ecc.) degli elementi inclusi nel modello

Validation of a Model for Operation Optimization of a Regional Water Supply System

Sustainable use of water resources requires a modern approach for complex water systems management based on system's modeling, as unsung operation alternatives may only be devised and tested through a model. The now available IT computing tools enable setting the traditional modelling methodologies for planning and operation of such systems in a new framework. The present work deals with the development of decision support models for optimizing the operation of complex water supply systems with multiple uses and focuses on the validation of the optimization model of the regional water supply systems managed by an Italian water utility. The software used is Aquator, a state-of-the-art commercial tool for generic water resources system simulation and operational optimization. The paper shows and comments the results of the validation of the model and uses them to draw some general principles for the validation of such kind of models: in fact, operational optimization models are conceived for the enhancement of systems management and performance. Consequently, while on the one side model output is expected to reflect the actual state of the system, on the other it can point out significant management enhancements