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equations, algorithms and scenarios) and contain various data reporting and visualization tools for
            interpreting  results  from  water  distribution  piping  systems,  water  quality  monitoring  data,  and
            wastewater management systems, among other relevant information for decision support. Multiple
            models have been used by urban water managers such as Mike Urban, Aquacycle, AISUWRS and
            UGROW, among others.



























            Optimization  tools  aim  to  find  the  best  technical,  environmental  and  financial  solutions  from
            models. Therefore, "optimization tools and principles have made it possible to develop prescriptive
            models for optimal management of large scale water resources systems, incorporating ubiquitous
            uncertainties  in  the  prediction  of  natural  processes  and  the  economic  impacts"  (Datta  and
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            Harikrishna, 2004) . The use of optimization tools can play an important role in effective decision‐
            making towards the planning, design and operation of water resource systems.
            Models, optimization tools and decision support tools for network management of urban water
            resources contribute to calculate and forecast consumption, reduce costs through the optimization
            of operations, plan and evaluate strategies, and also to conduct vulnerability studies to inform
            strategy design.

            h.      Web‐based communication and information system tools
            Information    and     knowledge     management      are    increasingly   recognized    as   an
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            important features for the effectiveness of the water sector . A key problem faced within the sector
            is  the  existence  of  a  large  body  of  complex,  unstructured  and  fragmented  data.  Web‐based
            interfaces and online platforms provide a solution to enable the effective management, display, and
            retrieval  of  relevant  information  required  by  water  managers/operators,  urban  planners,
            governments and the public.

            Figure 11 provides an example of the role played by web‐based technologies in city‐based flood
            maps.
















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