A multi-criteria GIS-based model for wind farm site selection with the least impact on environmental pollution using the OWA-ANP method

Mokarram, Marzieh; Pourghasemi, Hamid Reza; Mokarram, Mohammad Jafar

doi:10.1007/s11356-022-18839-2

Cited by 18 publications

(10 citation statements)

References 53 publications

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“…An absent classification scheme sometimes appeared concurrently with other modeling decisions. Of the 32 studies in this review that did not classify Wind Speed ( Tables 2 a and 2b ), GIS-based studies that included an equation-based economic/technical analysis of potential wind farm locations often lacked a classification scheme [ 76 , 82 , 146 , 151 , 162 , 165 , 168 ], as did studies with a small number (less than seven) of siting factors [ 125 , 126 , 159 , 186 , 200 , 204 , 208 ]. The application of classification schemes across WiFSS studies is inconsistent and not well-defined, thus making the intended role of siting factors when comparing WiFSS study approaches potentially unclear.…”

Section: Results Fro M the Thematic Synthesismentioning

confidence: 99%

“…Even among studies that did provide citations for their dataset sources, these citations were sometimes only the name of the government website, piece of legislation, or research institute that provided the data, without specific details regarding the dataset source [ 127 , 133 ]. When links to dataset sources were included, they were sometimes not accessible, even in recent WiFSS studies [ 134 , 151 ]. Greater emphasis should be placed on ensuring that dataset sources for siting factors are fully sourced in a manner that is consistent across WiFSS studies, in order to encourage the use of publicly available, high-quality datasets, and to standardize their citation and presentation in published work.…”

Section: Results Fro M the Thematic Synthesismentioning

confidence: 99%

“…Acronyms for the listed MCDA methods: Analytic Hierarchy Process (AHP), Analytic Network Process (ANP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Multicriteria Optimization and Compromise Solution (VIKOR, in Bosnian), Ordered Weighted Averaging (OWA), Best-Worst Method (BWM), ELimination Et Choice Translating REality (ELECTRE, in French), Preference Ranking Organization Method of Enrichment Evaluation (PROMETHEE), Multicriteria Interactive Decision Making (TODIM, in Portuguese). MCDA Approach Study Context Data Type (Secondary/Primary) Weighting/Ranking Method References GIS-based Onshore Secondary AHP [ [46] , [74] , [75] , [78] , [79] , [80] , [82] , [83] , [94] , [104] , [122] , [123] , [124] , [125] , [126] , [127] , [128] , [129] , [130] , [131] , [132] , [133] , [134] , [135] , [136] , [137] , [138] , [139] , [140] , [141] , [142] , [143] , [144] , [145] , [146] , [147] , [148] ] ANP [ [149] , [150] , [151] ] …”

Section: Methodsmentioning

confidence: 99%

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Standardizing the factors used in wind farm site suitability models: A review

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Section: Results Fro M the Thematic Synthesismentioning

confidence: 99%

Section: Results Fro M the Thematic Synthesismentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Standardizing the factors used in wind farm site suitability models: A review

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“…According to various criteria, weights are assigned to different items based on their significance as well as other factors. OWA has the advantage of making suitability maps with varying risk levels for different types of tourism (Mokarram et al., 2021; Mokarram, Pourghasemi, & Mokarram, 2022; Ronizi et al., 2020). Based on ecotourism interests and budget allocations, it determines the best tourism activities within an area spatially (Mokarram and Hojati, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…for different types of tourism (Mokarram et al, 2021;Mokarram, Pourghasemi, & Mokarram, 2022;Ronizi et al, 2020). Based on ecotourism interests and budget allocations, it determines the best tourism activities within an area spatially (Mokarram and Hojati, 2017).…”

mentioning

confidence: 99%

Investigation of Sustainable Rural Tourism Activities With Different Risk: A GIS‐MCDM Case in Isfahan, Iran

Ronizi

Mokarram

Negahban

2023

Earth and Space Science

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The tourism industry today is an important source of income, an effective factor in cultural exchanges between countries, and the world's largest service industry. Especially in developed countries, tourism plays a crucial role in combating poverty and increasing income, reducing unemployment, and boosting economic prosperity, thereby improving the quality of life and increasing social welfare. In recent years, rural tourism has emerged as one of the most important and fundamental strategies for the growth and development of rural areas since the 1950s (Liu et al., 2020). The tourism industry has been one of the most important development activities in developing countries, especially in rural areas (Liu et al., 2020). In rural areas, tourism plays an important role in combating poverty and unemployment (Cunha et al., 2020;Liu et al., 2020). In addition to becoming an integral part of rural development strategies (Ayhan et al., 2020;Carneiro et al., 2015), it is also a sustainable driver of rural socio-economic development (Randelli & Martellozzo, 2019). New investments in the tourism industry are bringing sustainable job opportunities with an acceptable level of income (Martinez et al., 2019). Rural areas have different capacities and attractions, which have led to the development of various types of tourism (Xu et al., 2017). However, tourism activities also carry environmental risks, such as resource waste (Martínez et al., 2019), soil and water pollution (Ciarkowska, 2018) and serious damage to ecosystem services .Selecting appropriate locations for tourism activities is a necessary step for maintaining environmental sustainability. Tourism attractions should be used properly to reduce the vulnerability of ecosystems and prevent waste of tourist's time and money. The best location for tourism activities has been assessed using a variety of quantification methodologies, which are summarized in Table 1. In Jeong et al. ( 2016), high-potential suitability areas (17.3% of the region) were determined using the weighted linear combination (WLC) method. However, various approaches have been developed to evaluate tourism sites in recent years, including Geographic Information Systems (GIS), Multi-Criterion Assessments (MCEs), fuzzy logic and network analysis processes (ANPs) (Aliani et al., 2017), and remote sensing techniques (Ayhan et al., 2020). Based on the MCDS method, it is possible to generate land suitability maps with different risk levels in GIS. Fuzzy-Analytic Hierarchy Process (F-AHP) was used by Zabihi et al. (2020) for assessing the relative importance of natural, environmental, and socio-economic factors in Babol for ecotourism. Among these models, the F-AHP model proved mNost reliable for identifying tourist destinations (Mokarram & Sathyamoorthy, 2016).Ordered Weighted Averaging (OWA) is a multicriteria evaluation method developed by Cheng et al. (2012). In contrast to the previous models, it incorporates interactions between contrasting objectives to gather data and make a collective decision. Accor...

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Challenges, strategies and opportunities for wind farm incorporated power systems: a review with bibliographic coupling analysis

Evangeline

Ponpandi²

2022

Environ Sci Pollut Res

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The development of wind power is progressing at a rapid pace. On a global scale, it is one of the most quickly expanding sources of power. Many countries rely on wind energy for a considerable portion of their energy needs.Its technology is constantly evolving. The security of supply and sustainability goals are achieved by increasing the installation of wind power capacity and utilization of wind resources. Because of this, the incorporation of wind power into the electrical grid is becoming a topic of research.Four signi cant topics within the theme of wind farm incorporated power systems are assessed. Their technical challenges and solutions are outlined in this paper. The topics include the effect of the energy storage system, optimization of wind farm layout, wind power forecasting, and impact on optimal power ow. Furthermore, a bibliographic coupling analysis is presented. It shows the interactions between journals and the natural impact of the journals. It also indicates the productivity of scienti c journals, citations, dissemination, and diversi cation of in uence.

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A multi-criteria GIS-based model for wind farm site selection with the least impact on environmental pollution using the OWA-ANP method

Cited by 18 publications

References 53 publications

Standardizing the factors used in wind farm site suitability models: A review

Standardizing the factors used in wind farm site suitability models: A review

Investigation of Sustainable Rural Tourism Activities With Different Risk: A GIS‐MCDM Case in Isfahan, Iran

Challenges, strategies and opportunities for wind farm incorporated power systems: a review with bibliographic coupling analysis

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