Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey

Ekmekçioğlu, Ömer; Koç, Kerim; Özger, Mehmet

doi:10.1016/j.ijdrr.2021.102327

Cited by 93 publications

(34 citation statements)

References 78 publications

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“…Urbanization and growing population have increased the significance of a sustainable utilization of water resources, particularly in rapidly developing urban areas (Koc & Isik 2020;Ekmekcioglu et al 2021). An increase in impermeable areas with the effect of urbanization reduces the storm water infiltration.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)

Ekmekçioğlu

Yılmaz

Özger

et al. 2021

Water Science and Technology

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This study aims to investigate the effectiveness of the low impact development (LID) practices on sustainable urban flood storm water management. We applied three LID techniques, i.e. green roof, permeable pavements and bioretention cells, on a highly urbanized watershed in Istanbul, Turkey. The EPA-SWMM was used as a hydrologic-hydraulic model and the model calibration was performed by the well-known Parameter ESTimation (PEST) tool. The rainfall-runoff events occurred between 2012 and 2020. A sensitivity analysis on the parameter selection was applied to reduce the computational cost. The Nash-Sutcliffe efficiency coefficient (NSE) was used as the objective function and it was calculated as 0.809 in the model calibration. The simulations were conducted for six different return periods of a storm event, i.e. 2, 5, 10, 25, 50 and 100-years, in which the synthetic storm event hyetographs were produced by means of the alternating block method. The results revealed that the combination of green roof and permeable pavements have the major impact on both the peak flood reduction and the runoff volume reduction compared to the single LIDs. The maximum runoff reduction percentage was obtained as 56.02% for a 10-years return period of a storm event in the combination scenario.

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Section: Introductionmentioning

confidence: 99%

Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)

Ekmekçioğlu

Yılmaz

Özger

et al. 2021

Water Science and Technology

Self Cite

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“…Luan et al [33] The use of TOPSIS to evaluate green infrastructure for stormwater in a Chinese sponge city Zeng et al [34] The use of TOPSIS to identify green infrastructure solutions for stormwater management in a Chinese smart city AHP-TOPSIS Gogate et al [35] The use of AHP-TOPSIS to identify stormwater management alternative performances in an Indian urban area Moghadas et al [36] The use of AHP-TOPSIS to evaluate flood risk in an Iranian urban area Ekmekcioglu et al [37] Fuzzy AHP-TOPSIS for flood risk mapping in a Turkish municipalities Koc et al [38] Fuzzy AHP-TOPSIS for stormwater management in a Turkish urban watershed.…”

Section: Multi-criteria Decision Analysismentioning

confidence: 99%

“…Second, the existing literature is focused on developing tools to find a solution to the stormwater issues the world faces while considering multiple stakeholder involved in the decision-making process. Aside from a few notable examples that consider differences between the stakeholders involved [25,26,37], however, there is little focus on how to manage the differences in opinions and how this affect the end policy decision. If differences emerge between the stakeholders involved in the MCDA it is important to acknowledge these differences so that policy can then attempt to address the disparities.…”

Section: Multi-criteria Decision Analysismentioning

confidence: 99%

Urban Pluvial Flood Management Part 1: Implementing an AHP-TOPSIS Multi-Criteria Decision Analysis Method for Stakeholder Integration in Urban Climate and Stormwater Adaptation

Axelsson

Giove

Soriani

2021

Water

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Cities are facing increasing pressures to enact adaptation measures due to climate change. While blue-green infrastructure has emerged as a focal adaptation technique for stormwater management, in order to craft adaptation policies cities must consider a multitude of emerging, complex, and competing stakeholder interests around multiple adaptation alternatives. However, accounting for these different interests, analyzing their diverse priorities, and maintaining a transparent decision-making process is not easily achieved within the existing policy frameworks. Here we define and present a combined multi-criteria decision analysis (MCDA) of the analytic hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) methods that easily integrates and quantifies stakeholder priorities while remaining accessible for non-experts engaged in the policy-making process. We demonstrate the method’s effectiveness through analyzing opinions about stormwater adaptation in New York City across several stakeholder groups. The method succeeds in integrating quantitative and qualitative judgements, indicating stakeholder preferential differences and allowing for more inclusive policy to be crafted. It can be extended beyond stormwater to many urban climate adaptation decisions facing multi-criteria considerations.

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“…Scheme selection belongs to the decision-making problem. Currently, the most widely used methods are entropy weight method [34], fuzzy set theory [35], TOPSIS decision-making method [36], vague set theory [37], interval-valued [38] and grey relational decision-making [39]. All these methods need to normalize the alternative set to obtain the initial weight coefficients or membership degrees of evaluation indexes.…”

Section: Introductionmentioning

confidence: 99%

A Method of Multi-Objective Optimization and Multi-Attribute Decision-Making for Huangjinxia Reservoir

Wei

Feng

Lu³

et al. 2022

Applied Sciences

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The objectives of flood control, power generation, water supply and ecology for reservoir operation are neither completely coordinated nor completely opposed, and its optimal operation and decision-making is very complicated. This study proposed a method of multi-objective optimization and multi-attribute decision making for reservoir operation (MODRO). The correlation analysis method was used to analyze the competitive relationship among the extracted objectives, and the multi-objective optimal operation model was constructed. The NSGA-II-SEABODE algorithm was applied to solve the MODRO problem. The objective extraction, model construction, optimization solution and scheme selection were coupled to form a multi-objective optimization and multi-attribute decision making method with the whole process of “Objective-Modeling-Optimization-Selection”. Huangjinxia Reservoir, which is located in Shaanxi, China, was selected as the case study. The results show that: (1) Quantifying the degree of conflict among objectives makes the construction of the multi-objective optimal operation model more reasonable. (2) The NSGA-II-SEABODE algorithm are used to obtain the decision-making scheme, which provides decision-making basis for managers. (3) For Huangjinxia Reservoir, water diversion is negatively related to power generation and ecology, and power generation is positively related to ecology. The results can promote the efficient utilization of water resources, improve the comprehensive benefits of reservoirs, and provide decision-making support for actual reservoir operation.

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Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey

Cited by 93 publications

References 78 publications

Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)

Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)

Urban Pluvial Flood Management Part 1: Implementing an AHP-TOPSIS Multi-Criteria Decision Analysis Method for Stakeholder Integration in Urban Climate and Stormwater Adaptation

A Method of Multi-Objective Optimization and Multi-Attribute Decision-Making for Huangjinxia Reservoir

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