A hybrid MCDA approach for delineating sites suitable for artificial groundwater recharge using drywells

Mouhoumed, Rachid Mohamed; Ekmekçioğlu, Ömer; Özger, Mehmet

doi:10.1016/j.jhydrol.2023.129387

Cited by 5 publications

(4 citation statements)

References 66 publications

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“…Opportunity maps are becoming increasingly common in exploring areas of suitability for project development [1][2][3][4]. Coupled with the need to invest in RETs to combat high energy consumption and high carbon emissions has allowed researchers and developers to create opportunity maps to identify sites for the deployment of low-carbon solutions to generate energy that can be used immediately or stored locally [5].…”

Section: Motivation and Significancementioning

confidence: 99%

Gomap: A Python-Developed GIS Opportunity Mapping Tool for Renewable Energy Technologies

McGhee

2023

Preprint

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Section: Motivation and Significancementioning

confidence: 99%

Gomap: A Python-Developed GIS Opportunity Mapping Tool for Renewable Energy Technologies

McGhee

2023

Preprint

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“…Additionally, the TOPSIS technique was utilized to prioritize the study region and generate a countrywide MAR potential map. Although previous studies have separately applied the fuzzy AHP and TOPSIS methods [10,38], the integration of these approaches has been largely overlooked in the existing literature, with Mouhoumed et al [4] being the only previous authors to attempt to adopt a similar combination. However, their framework was limited to a cityscale assessment covering an area of 218.53 km 2 and, more importantly, was focused on a predefined MAR technology, namely, drywells.…”

Section: Assessment Of the Adopted Decision Framework And Its Limitat...mentioning

confidence: 99%

“…The need to implement sustainable practices to mitigate the challenges faced by aquifer systems has become increasingly pressing. In this regard, managed aquifer recharge (MAR) has emerged as a promising technology that can address the risks confronting subsurface water resources while simultaneously promoting groundwater recharge [4]. MAR is also an efficient sustainable urban water management technique [5].…”

Section: Introductionmentioning

confidence: 99%

“…However, it should be noted that some scholars have highlighted the limitations of the standard AHP, particularly in incorporating the inherent fuzziness of human judgment [33]. Consequently, hybridizing fuzzy set theory and the AHP technique has been widely acknowledged by various researchers in recent attempts [4,10,34]. In addition, various MCDA-based prioritization techniques, such as the evaluation based on distance from average solution (EDAS), simple additive weighting (SAW), and the technique for order of preference by similarity to ideal solution (TOPSIS), have been utilized in the pertinent literature [35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

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Integrated Fuzzy AHP-TOPSIS Model for Assessing Managed Aquifer Recharge Potential in a Hot Dry Region: A Case Study of Djibouti at a Country Scale

Mouhoumed

Ekmekçioğlu

Başakın

et al. 2023

Water

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Given the prevailing arid climate and rapid population growth, groundwater resources face unprecedented challenges globally, including depletion, seawater intrusion, and contamination. Managed aquifer recharge (MAR) technologies have emerged as valuable solutions to address these pressing issues. However, identifying suitable regions for MAR activities is a complex task, particularly at the country level. Therefore, in this study, we propose a robust approach that combines the fuzzy analytical hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) to delineate suitable sites for MAR structures. The proposed model was applied to Djibouti, a hot, dry, and water-stressed country. We identified a set of nine decision criteria and conducted a pairwise comparison survey to determine their relative importance. Additionally, the TOPSIS method was employed to integrate the decision layers and prioritize the study area. The results highlight the significance of rainfall, the slope, and the NDVI as the most influential decision parameters, while the drainage density has the least impact. A suitability analysis reveals that 16.38%, 17.96%, and 30.41% of the country have a very high, high, and moderate potential for MAR activities, respectively. Furthermore, a sensitivity analysis demonstrates the stability of the proposed model, affirming the usefulness of the generated suitability map.

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An integrated groundwater vulnerability and artificial recharge site suitability assessment using GIS multi-criteria decision making approach in Kayseri region, Turkey

Mouhoumed,

Ekmekcioğlu,

Özger

2024

Environ Sci Pollut Res

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Groundwater resources worldwide face significant challenges that require urgent implementation of sustainable measures for effective long-term management. Managed aquifer recharge (MAR) is regarded as one of the most promising management technologies to address the degradation of groundwater resources. However, in urban aquifers, locating suitable areas that are least vulnerable to contamination for MAR implementation is complex and challenging. Hence, the present study proposes a framework encapsulating the combined assessment of groundwater vulnerability and MAR site suitability analysis to pinpoint the most featured areas for installing drywells in Kayseri, Turkey. To extrapolate the vulnerable zones, not only the original DRASTIC but also its multi-criteria decision-making (MCDA)–based modified variants were evaluated with regard to different hydrochemical parameters using the area under the receiver operating characteristic (ROC) curve (AUC). Besides, the fuzzy analytical hierarchy process (FAHP) rationale was adopted to signify the importance level of criteria and the robustness of the framework was highlighted with sensitivity analysis. In addition, the decision layers and the attained vulnerability layer were combined using the weighted overlay (WOA). The findings indicate that the DRASTIC-SWARA correlates well with the arsenic (AUC = 0.856) and chloride (AUC = 0.648) and was adopted as the vulnerability model. Groundwater quality parameters such as chloride and sodium adsorption ratio, as well as the vadose zone thickness, were found to be the most significant decision parameters with importance levels of 16.75%, 14.51%, and 15.73%, respectively. Overall, 28.24% of the study area was unsuitable for recharge activities with high to very high vulnerability, while the remaining part was further prioritized into low to high suitability classes for MAR application. The proposed framework offers valuable tool to decision-makers for the delineation of favorable MAR sites with minimized susceptibility to contamination.

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A hybrid MCDA approach for delineating sites suitable for artificial groundwater recharge using drywells

Cited by 5 publications

References 66 publications

Gomap: A Python-Developed GIS Opportunity Mapping Tool for Renewable Energy Technologies

Gomap: A Python-Developed GIS Opportunity Mapping Tool for Renewable Energy Technologies

Integrated Fuzzy AHP-TOPSIS Model for Assessing Managed Aquifer Recharge Potential in a Hot Dry Region: A Case Study of Djibouti at a Country Scale

An integrated groundwater vulnerability and artificial recharge site suitability assessment using GIS multi-criteria decision making approach in Kayseri region, Turkey

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