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      Effect of DMA characteristics on risk and asset analysis of the Metropolitan Waterworks Authority pipe network

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          Abstract

          This study examines the District Metering Area (DMA) characteristics in the pipe networks of Metropolitan Waterworks Authority (MWA), with a specific focus on risk and asset analysis, including water loss rate, water usage, and pipe density. The objective is to classify the DMA types based on these characteristics and to determine the influence of area characteristics on water distribution infrastructure. This is achieved by employing risk assessment and asset valuation techniques to identify pipes that require replacement. Initially, the Area Characteristic Index (ACI) for all 64 DMAs within the Ladprao service office branch was evaluated using a fuzzy inference system. Subsequently, six selected DMAs from three distinct area types were analyzed by the fuzzy logic model to figure out the Risk Index (RI) values. Concurrently, the Infrastructure Value Index (IVI) contributed to the asset valuation. These indices pinpointed both the high‐risk pipe routes and the poor‐condition infrastructure. Moreover, the Modified Risk‐Value Index (MRVI) was adopted to prioritize these pipe routes within a constrained budget. The main conclusion drawn is that while DMA characteristics do not directly influence the identification of deteriorated pipes through risk assessment and asset analysis methods, the characteristic of a high water loss rate does impact the number of pipe routes identified by the RI.

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          An adaptive neuro-fuzzy inference system for bridge risk assessment

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            PROPOSING A NEW METHODOLOGY BASED ON FUZZY LOGIC FOR TUNNELLING RISK ASSESSMENT

            Tunnels are artificial underground spaces that provide a capacity for particular goals such as storage, under-ground transportation, mine development, power and water treatment plants, civil defence. This shows that the tunnel construction is a key activity in developing infrastructure projects. In many situations, tunnelling projects find themselves involved in the situations where unexpected conditions threaten the continuity of the project. Such situations can arise from the prior knowledge limited by the underground unknown conditions. Therefore, a risk analysis that can take into account the uncertainties associated with the underground projects is needed to assess the existing risks and prioritize them for further protective measures and decisions in order to reduce, mitigate and/or even eliminate the risks involved in the project. For this reason, this paper proposes a risk assessment model based on the concepts of fuzzy set theory to evaluate risk events during the tunnel construction operations. To show the effectiveness of the proposed model, the results of the model are compared with those of the conventional risk assessment. The results demonstrate that the fuzzy inference system has a great potential to accurately model such problems.
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              Performance indicators for water supply services

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                AWWA Water Science
                AWWA Water Science
                Wiley
                2577-8161
                2577-8161
                September 2023
                October 04 2023
                September 2023
                : 5
                : 5
                Affiliations
                [1 ] Department of Water Resources Engineering Kasetsart University Bangkok Thailand
                Article
                10.1002/aws2.1354
                aad1fb04-3e72-4004-b0b6-a22abfd4afd8
                © 2023

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                History

                Earth & Environmental sciences,Oceanography & Hydrology,Chemistry,Engineering,Civil engineering,Environmental engineering
                DMA characteristic,Infrastructure Value Index,pipe network assessment,Risk Index

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