An integrated framework for the comprehensive evaluation of low impact development strategies

Koç, Kerim; Ekmekçioğlu, Ömer; Özger, Mehmet

doi:10.1016/j.jenvman.2021.113023

Cited by 81 publications

(39 citation statements)

References 82 publications

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“…Even tough LID designs are more beneficial for relatively low recurrence intervals, such as 2, 5 and 10-years (Fassman & Blackbourn 2010;Liao et al 2014), in terms of the management of water quantity (Czemiel Berndtsson 2010), two of the implemented LID technics in this study, i.e. green roof and permeable pavements, well-performed for higher recurrence intervals in terms of both peak runoff and volume reductions as these are the most effective criteria in the evaluation of LID performances (Ahiablame & Shakya 2016;Koc et al 2021). Overall, the results revealed that the impact of the possible storm event which could have serious consequences in the highly urbanized Ayamama watershed can be reduced with the implementation of the combination of green roofs and permeable pavements.…”

Section: Discussionmentioning

confidence: 91%

“…Also, the SWMM has many advantages in solving different types of water-related problems in urban areas, especially in the cases of open channels from the surface and underground pipes are complex as well as a runoff quantity is to be simulated. It is worth mentioning that EPA-SWMM is limited to 1D simulations and is not able to perform analysis of surface flow for a particular area (Yin et al 2020;Koc et al 2021). In this study, the EPA-SWMM version 5.1 (launched in 2015) was utilized.…”

Section: Description Of Epa Swmmmentioning

confidence: 99%

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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: Discussionmentioning

confidence: 91%

Section: Description Of Epa Swmmmentioning

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%

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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“…. ) [20,21] and parameter optimization tools (e.g., PEST, OSTRICH) [22][23][24] are used to automate RR model calibration.…”

Section: Introductionmentioning

confidence: 99%

Design and Simulation of Stormwater Control Measures Using Automated Modeling

Radinja

Škerjanec

Džeroski

et al. 2021

Water

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Stormwater control measures (SCMs) are decentralized technical elements, which can prevent the negative effects of uncontrolled stormwater flow while providing co-benefits. Optimal SCMs have to be selected and designed to achieve the desired hydrological response of an urban catchment. In this study, automated modeling and domain-specific knowledge in the fields of modeling rainfall-runoff (RR) and SCMs are applied to automate the process of optimal SCM design. A new knowledge library for modeling RR and SCMs, compliant with the equation discovery tool ProBMoT (Process-Based Modeling Tool), was developed. The proposed approach was used to (a) find the optimal RR model that best fits the available pipe flow measurements, and (b) to find the optimal SCMs design that best fits the target catchment outflow. The approach was applied to an urban catchment in the city of Ljubljana, Slovenia. First, nine RR models were created that generally had »very good« performance according to the Nash–Sutcliffe efficiency criteria. Second, six SCM scenarios (i.e., detention pond, storage tank, bio-retention cell, infiltration trench, rain garden, and green roof) were automatically designed and simulated, enabling the assessment of their ability to achieve the target outflow. The proposed approach enables the effective automation of two complex calibration tasks in the field of urban drainage.

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An integrated framework for the comprehensive evaluation of low impact development strategies

Cited by 81 publications

References 82 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

Design and Simulation of Stormwater Control Measures Using Automated Modeling

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