A model for the use of urban treated wastewater in agriculture using multiple criteria decision making (MCDM) and geographic information system (GIS)

Zolfaghary, Parvin; Zakerinia, M; Kazemi, Hossein

doi:10.1016/j.agwat.2020.106490

Cited by 44 publications

(16 citation statements)

References 45 publications

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“…Maksimović et al [24] used the fuzzy MARCOS (measurement alternatives and ranking according to compromise solution) method to evaluate plum variety for raising new orchards. Zolfaghary et al [25] assessed the possibility of using treated wastewater as irrigation water in agriculture using the GIS (geographic information system) and applying the AHP method.…”

Section: Literature Reviewmentioning

confidence: 99%

Market Assessment of Pear Varieties in Serbia Using Fuzzy CRADIS and CRITIC Methods

et al. 2022

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The research deals with the market assessment of pear varieties in Serbia. Market assessment represents the willingness of customers to consume a certain fruit or a certain variety. This research applies a market assessment of pear varieties based on expert decision making. Together with the experts, the criteria and varieties of pears used in the research are determined. Ten criteria and six varieties of pears that are mostly grown in Serbia are used. Experts evaluated pear varieties based on linguistic values according to selected criteria. Based on these values, and using fuzzy logic, the weights of the criteria are first determined using the fuzzy CRITIC method (criteria importance through intercriteria correlation), and pear varieties are ranked using the fuzzy CRADIS method (compromise ranking of alternatives from distance to ideal solution). The obtained results show that the highest rated varieties are Konferans and Viljamovka, while the lowest rated variety is Šampionka. Sensitivity analysis confirms these results. The obtained results will help cultivators and fruit vendors to choose those varieties that will achieve the best market results. This study is conducted to provide guidelines for the use of fuzzy methods in marketing assessment in fruit growing.

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Section: Literature Reviewmentioning

confidence: 99%

Market Assessment of Pear Varieties in Serbia Using Fuzzy CRADIS and CRITIC Methods

et al. 2022

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“…Such options include irrigation, re-use in some industries, spreading in green space such as forests or as land spreading in arid regions [105]. In some areas, the liquid outputs from sewage treatment can be used as irrigation water, but many factors control the suitability of areas for this, including the characteristics of the waste water, the soil and climate, crop type and aquifer vulnerability and these can be incorporated into a GIS-based decision support system to indicate suitable areas [106]. That study used 11 criteria spanning the environmental, technical, and financial domains.…”

Section: Focus On Sewage Treatmentmentioning

confidence: 99%

Uptake and Dissemination of Multi-Criteria Decision Support Methods in Civil Engineering—Lessons from the Literature

Bruen

2021

Applied Sciences

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The SCOPUS and Wed of Science bibliometric databases were searched for papers related to the use of multi-criteria methods in civil engineering related disciplines. The results were analyzed for information on the reported geographical distribution of usage, the methods used, the application areas with most usage and the software tools used. There was a wide geographical distribution of usage with all northern hemisphere continents well represented. However, of the very many methods available, a small number seemed to dominate usage, with the Analytic Hierarchy Process being the most frequently used. The application areas represented in the documents found was not widely spread and mainly seemed to be focused on issues such as sustainability, environment, risk, safety and to some extent project management, with less usage on other areas. This may be due to individual engineer’s choices in relation to if and how to disseminate the results of their work and to their choice of keywords and titles that determine if their publications are selected in bibliographic searches and thus more visible to a wider readership. A comparison with more topic focused searches, relating to Bridge Design, Earthquake Engineering, Cladding, Sewage Treatment, Foundation design, Truss design, Water Supply, Building Energy, Route selection and Transport mode showed very different results. Analysis of the papers in this area indicated that the full range of supporting software available for multi-criteria decision analysis (many listed in this paper) may not be fully appreciated by potential users.

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“…Denekos et al (2021) proposed a hybrid algorithm for locating the refugee camps in Greece by applying multi-criteria decision-K 51,7 making and the GIS. Zolfaghary et al (2021) developed a GIS-MCDM framework considering economical and environmental criteria for discovering the suitability of using wastewater in agriculture. Saha et al (2021) used the GIS-AHP method to identify suitable locations for agricultural practices.…”

Section: Sustainable Facility Relocationmentioning

confidence: 99%

Sustainable facility relocation in agriculture systems using the GIS and best–worst method

Yousefi-Babadi

Bozorgi-Amiri

Tavakkoli–Moghaddam

2021

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PurposeTo avoid sub-optimization in wheat storage centers, one of the most strategic facilities, it is necessary to review and relocate them to be optimized regularly. The present study aims to propose an integrated method using geographic information systems (GISs) and an appropriate weighting algorithm for the relocation of wheat storage facilities.Design/methodology/approachTo achieve the goal mentioned above, sustainability pillars in facility location and relocation are initially developed; afterward, a set of suitable criteria are obtained from various scientific resources. Then, the weight of each sustainable development pillar and its corresponding sub-criteria were identified through utilizing the best–worst method (BWM). By applying the obtained weights in the ArcGIS software package, various geographical layers were designed, and land-use planning, logistics planning and sustainable logistics planning are carried out in the regions. The regions are ranked based on the scores obtained in the processes, and the best regions are selected for sustainable relocation problem.FindingsA case study including 430 regions (counties) in Iran is conducted to evaluate the efficiency of the suggested approach. The study results indicate that Iran possesses a superior state for establishing wheat storage centers in terms of infrastructural and social aspects. Also, it is established that 16% of counties are recognized as sustainable locations for relocating the wheat storage facilities.Research limitations/implicationsThere is no most suitable analysis of the wheat storage facilities, as well as their strategic position in the supply chain, and there is a lack of considering sustainability in wheat storage facility location, despite the particular importance of it to the supply chain.Practical implicationsThis framework is applied in an Iranian wheat-bread supply chain to find the best sustainable facilities. It is noted that this algorithm can be applied in other strategic facilities by minor and some major changes.Originality/valueDecision-makers can apply the proposed methodology to find the best relocation sites for wheat storage facilities as the main part of wheat-bread supply chain in order to prevent sub-optimization and improve the efficiency of their supply chain.

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A model for the use of urban treated wastewater in agriculture using multiple criteria decision making (MCDM) and geographic information system (GIS)

Cited by 44 publications

References 45 publications

Market Assessment of Pear Varieties in Serbia Using Fuzzy CRADIS and CRITIC Methods

Market Assessment of Pear Varieties in Serbia Using Fuzzy CRADIS and CRITIC Methods

Uptake and Dissemination of Multi-Criteria Decision Support Methods in Civil Engineering—Lessons from the Literature

Sustainable facility relocation in agriculture systems using the GIS and best–worst method

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