Management of the urban water cycle in an integrated manner is an essential task to protect, restore and enhance in a sustainable manner. Strategic asset management planing is being developed as local government authorities face many challenges associated with managing the urban water cycle system. Statistical or conventional mathematical modelling approach has been found not practical for assessment of deteriorating infrastructures. Alternatively, application of fuzzy-based models is found more suitable as it links engineering judgment, experience and scarce field data of the deteriorating assets. In this study, a representative network of buried stormwater system's data is drawn and a pipe condition index is derived by linking the field data and reasoning using fuzzy approach. The inferred results are found to be useful and relevant for asset maintenance and future development programs.
More than 70% of the 16,000 public wastewater systems and approximately 92% of the community water systems in the United States serve small communities. Many of these small systems have aged considerably, and major components of their systems are reaching the end of their useful life and will need to be rehabilitated or replaced in the near future. Utilities are faced with major expenses they will have to undertake with limited outside assistance, and in some cases, with a shrinking revenue base.Operators and managers of these small facilities face daily challenges to meet regulatory requirements at the desired level of service while staying within the budget and personnel constraints of their community. Small communities lack many of the advantages of larger communities and generally have limited budgets, high system costs per household, limited training or expertise, and small staffs. Good asset management practices can help utilities improve their decision-making, resulting in significant cost savings and improved system performance.
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