Multi-criteria decision-making techniques associated with (Q)SAR risk assessment for ranking surface water microcontaminants identified using LC-QTOF MS

Becker, Raquel Wielens; Jachstet, Letícia Alves; Dallegrave, Alexsandro; Ruiz-Padillo, Alejandro; Zanella, Renato; Sirtori, Carla

doi:10.1016/j.scitotenv.2021.149002

Cited by 14 publications

(2 citation statements)

References 45 publications

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“…However, most of the studies focus on the removal of pesticides by various treatment processes [33]. While the MCDM studies are carried out, although the last goal is pesticide removal, many factors such as the sustainability of the treatment methods used, the durability of the machinery and equipment in the treatment technologies, the use of chemicals, the maintenance cost of the machines and even the additional requirements to the treatment methods should be taken into account [34][35][36]. Some of the criteria used in the study were inspired by Ozturk [21].…”

Section: Methodsmentioning

confidence: 99%

Hybrid Multi-Criteria Decision-Making Approach to Choose the Best Treatment Process to Remove Pesticides from Drinking Water Sources: Diuron and Cypermethrin

ÖZGÜR

BARIS

Bekaroğlu

2023

Preprint

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Overuse of pesticides in the agriculture sector has resulted in many problems related to human health and environmental issues. Most of the pesticides reach aquatic bodies through agricultural runoff, transportation through air, and seepage through the soil. To lessen the hazards pesticide usage poses to the environment and public health, pesticides must be removed from drinking water sources. Today, choosing the best treatment process is a difficult challenge for water authorities, especially in developing nations because of its complexity. This study proposes a hybrid multi-criteria decision-making (MCDM) method based on Analytic Hierarchy Process (AHP), which combines the order preference technique similar to the ideal solution (TOPSIS) and the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to choose the most appropriate method for pesticide removal in drinking water treatment. The goal of this approach is to prioritize and choose treatment options for different pesticide groups. To represent different pesticide groups, diuron, and cypermethrin were selected based on toxicity, worldwide occurrence, persistence, and physicochemical properties. The results of all MCDM techniques show that nanofiltration is the best alternative for diuron removal and granular activated carbon adsorption is the most appropriate process for cypermethrin removal. Hybrid MCDM techniques is the best method to choose the treatment technologies to comply with technical, financial, and environmental requirements. The assessment of pesticide removal methods using hybrid AHP/MCDM approach has never been performed before in drinking water treatment, and it has been shown to be a promising way for ranking treatment processes for pesticides.

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Section: Methodsmentioning

confidence: 99%

Hybrid Multi-Criteria Decision-Making Approach to Choose the Best Treatment Process to Remove Pesticides from Drinking Water Sources: Diuron and Cypermethrin

ÖZGÜR

BARIS

Bekaroğlu

2023

Preprint

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“…Tomak and Korkusuz Polat [6] used the AHP (Analytical Hierarchy Process) technique to determine the criterion weights in their models developed for success factortriggered risk prioritization. Becker et al [7] used the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to rank the micropollutants they identified by conducting a risk assessment. Bid and Siddique [8] used TOPSIS and WASPAS (Weighted Aggregated Sum Product Assessment) techniques, which are MCDM techniques, to prioritize the risks posed by dams on humans.…”

Section: Introductionmentioning

confidence: 99%

Risk Prioritization in A Manufacturing Project with Fuzzy SWARA and Fuzzy MOORA Methods

Korkusuz Polat,

Saltan Yaşlı

2024

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Businesses must constantly change and develop to keep up with customer needs and changes in the market. Not being able to adapt to change or not being ready enough can bring risks. These changes and risks can affect both the process and the outputs of the process. It is essential to be prepared for the possible risks experienced in the operations, especially in project-based, production-to-order enterprises, to meet the customer's demands and to comply with the delivery date. Businesses must implement an effective risk assessment process to achieve this. This study implemented a risk prioritization for a new business project that produces energy storage systems by having to order. Changes must be made in the production process for an additional feature to be added to the product in line with the customer's request. The risks posed by the change and the short deadline were analyzed and prioritized. A new model was developed by developing the classical Decision Matrix Risk Assessment (DMRA) method, one of the risk assessment methods to evaluate the ten identified risks. The "severity" component of the classical DMRA method is divided into three sub-components (the severity of delivery time, the severity of cost, and the severity of quality) to be evaluated more specifically. Moreover, since the weights of these sub-components on the risks are different, the components are weighted with the Fuzzy SWARA method. The weights obtained from the Fuzzy SWARA method are used in the Fuzzy MOORA method, and the risks are prioritized. Thus, the effectiveness of the classical risk assessment approach has increased by detailing the "severity" component of the risk assessment components and weighting and prioritizing the components using multi-criteria decision-making (MCDM) techniques.

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Hybrid multicriteria decision‐making model for process selection for drinking water treatment

Ozgur,

Baris,

Kaplan Bekaroglu

2024

Env Prog and Sustain Energy

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The overuse of pesticides in agriculture poses significant threats to human health and the environment. This study addresses the issue by proposing a hybrid multi‐criteria decision‐making (MCDM) method, utilizing the analytic hierarchy process (AHP), to select the most suitable pesticide removal method for drinking water treatment. Focusing on the priority and selection of treatment options for specific pesticide groups, such as diuron and cypermethrin, based on toxicity and physicochemical properties, the study concludes that nanofiltration is best option for diuron removal, while granular activated carbon adsorption is effective for cypermethrin. The innovative hybrid MCDM (AHP + TOPSIS and AHP + VIKOR) approach, unprecedented in assessing pesticide removal methods for drinking water treatment, proves promising in ranking treatment processes for pesticides. The study emphasizes the serious consequences of excessive pesticide use, highlights treatment solutions like NF and GAC adsorption, and introduces cutting‐edge hybrid MCDM techniques for selection treatment process that meet technical, economical, and environmental requirements. All of these factors combine to provide a novel approach not only used to select the best option from alternatives, but also to prioritize alternative processes in drinking water treatment at pesticide removal practices.

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Multi-criteria decision-making techniques associated with (Q)SAR risk assessment for ranking surface water microcontaminants identified using LC-QTOF MS

Cited by 14 publications

References 45 publications

Hybrid Multi-Criteria Decision-Making Approach to Choose the Best Treatment Process to Remove Pesticides from Drinking Water Sources: Diuron and Cypermethrin

Hybrid Multi-Criteria Decision-Making Approach to Choose the Best Treatment Process to Remove Pesticides from Drinking Water Sources: Diuron and Cypermethrin

Risk Prioritization in A Manufacturing Project with Fuzzy SWARA and Fuzzy MOORA Methods

Hybrid multicriteria decision‐making model for process selection for drinking water treatment

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