An application of the AHP in water resources management: a case study on urban drainage rehabilitation in Medan City

Tarigan, Ahmad Perwira Mulia; Rahmad, D; Sembiring, Rahmad; Iskandar, Rudi

doi:10.1088/1757-899x/309/1/012096

Cited by 11 publications

(6 citation statements)

References 1 publication

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“…One of the available scientific methods that can help researchers in confronting multidimensional issues is the analysis of expert attitudes. The viewpoints of experts can be combined in the form of criteria/sub-criteria weights using the Analytical Hierarchy Process (AHP) (Srdjevic et al 2002;Tarigan et al 2018;Xi and Poh 2014) and Analytical Network Process (ANP) (Razavi Toosi and Samani 2012; Wu et al 2017) in multi-component issues. For this purpose, the sub-criteria mentioned in Table 1 were provided in the form of two questionnaires-AHP and ANP-to more (2)…”

Section: Weighing By Ahp and Anpmentioning

confidence: 99%

Applying the enhanced Water Poverty Index (eWPI) to analyze water scarcity and income poverty relation in Beheshtabad Basin, Iran

2022

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The close relationship between water and poverty has been proven in several types of research. The Water Poverty Index is an interdisciplinary approach for quantifying the socioeconomic aspects of water scarcity. The enhanced Water Poverty Index (eWPI) is aggregated in five components: Resources, Access, Capacity, Use, and Environment in a Pressure-State-Response framework. In this research, eWPI is computed on two scales: for four community centers and for the Beheshtabad Basin. Because this index is weightless, and undoubtedly the importance of each parameter is different, the preference of different variables is included in the calculation. The importance of the parameters is based on the opinion of experts, and for this reason, Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP) are used for weighting eWPI components in Beheshtabad Basin. According to the results, Use (U) and Capacity (C) have the lowest score among the main criteria. The average value of weightless eWPI for the watershed is 0.605 and Kiar and Farsan counties have gained less than this average. The results show the priority of the main criteria is as follows: R, A, U, E, and C, for AHP and R, E, C, A, and U for ANP. The weights obtained through ANP are more homogeneous and there is less difference between the main criteria, while in AHP, the Resources criterion (R) has gained relatively large weight compared to the other factors. The score of eWPI for AHP-weighted and ANP-weighted indices are 0.5944 and 0.626, respectively.

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Section: Weighing By Ahp and Anpmentioning

confidence: 99%

Applying the enhanced Water Poverty Index (eWPI) to analyze water scarcity and income poverty relation in Beheshtabad Basin, Iran

2022

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“…According to Tarigan, Rahmad, Sembiring, and Iskandar (2018), from the 1980s onwards, with the advent of the concept of sustainable development, there was a need to develop tools to measure and qualify the progress achieved with sustainability measures. For Benzerra et al (2012), the use of indicators serves to weigh the progress of public policies and assist in decision making.…”

Section: Introductionmentioning

confidence: 99%

“…The search for indicators that demonstrate the environmental, social, and urban behavior of regions is essential for planning and actions by public agencies regarding drainage systems. Frailty indicators serve as parameters to assess the quality and efficiency of urban drainage systems (Kamil, Alias, Mohammed, Putrì, & Kalani, 2013;Tarigan et al, 2018). Thus, the use of System Fragility Indicators (SFIs) becomes an indispensable element regarding the measurement and demonstration of points of different types that require investments due to lack of efficiency (Tarigan et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of urban drainage systems: an analytic hierarchy process approach for the Jaracati basin in Brazil

2023

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The efficiency of drainage systems in urban centers and especially in their peripheral regions has deserved more and more special attention since their interrelationship with social and environmental aspects is associated with the performance of drainage infrastructures. Integrated urban water management is a major factor in the effectiveness of an urban drainage system. In large cities, negative effects caused by the disorderly urbanization process, especially those related to rainwater runoff, are increasingly present. An evaluation model of urban drainage systems was generated using System Fragility Indicators (IFS) and their ranking via Analytic Hierarchy Process (AHP), in the Jaracati River basin, Maranhão State, Brazil. Indicators were measured through the evaluation of the system and the experience of specialists in drainage systems. The results obtained allowed for the consolidation of a model to support planning and decision-making in the assessment processes of measures to mitigate socio-environmental impacts involved in the urban drainage of a watershed, with performance indicators capable of guaranteeing the support of a model being verified measurement of performance parameters of urban drainage systems.

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“…Recently, decision making depends on mathematical science, software and models that can assess the situation of the system (Greco et al 2016;Zyoud et al 2016;Tarigan et al 2018;Amorocho-Daza et al 2019). Noted that the use of the Analytic Hierarchy Process (AHP) method is useful to water management in term of achieving a better understating of water management strategies.…”

Section: Introductionmentioning

confidence: 99%

Coupling Decision Support Systems For The Optimization of The Management of Water Distribution Networks

Berrezel

Abdelbaki

Rouissat

et al. 2022

Preprint

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The analysis of the current situation of water distribution networks is based on all the alternatives that are technically feasible and implemented from the decision-maker's point of view. Taking the water distribution network of Tourville city as a case study, this paper combines a set of Decision Support Systems (DSS) including the Geographic Information Systems (GIS), multi-criteria analysis and hydraulic simulation models to establish a multi-criteria decision-making aid method for renovation and rehabilitation of water distribution networks. This combination creates an expert management system based on multi-criteria decision making that strengthens the optimization of the management of water distribution networks in terms of renovation and rehabilitation. After dividing the water distribution network into three emergency levels, it was concluded that 26% of the network is in urgent need of rehabilitation.

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An application of the AHP in water resources management: a case study on urban drainage rehabilitation in Medan City

Cited by 11 publications

References 1 publication

Applying the enhanced Water Poverty Index (eWPI) to analyze water scarcity and income poverty relation in Beheshtabad Basin, Iran

Applying the enhanced Water Poverty Index (eWPI) to analyze water scarcity and income poverty relation in Beheshtabad Basin, Iran

Performance evaluation of urban drainage systems: an analytic hierarchy process approach for the Jaracati basin in Brazil

Coupling Decision Support Systems For The Optimization of The Management of Water Distribution Networks

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