A hybrid multi-criteria decision making method for site selection of subsurface dams in semi-arid region of Iran

Dortaj, Amal; Maghsoudy, Soroush; Ardejani, Faramarz Doulati; Eskandari, Zabihollah

doi:10.1016/j.gsd.2019.100284

Cited by 35 publications

(22 citation statements)

References 21 publications

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“…The Copeland method is an extended version of the Borda method (Dortaj et al 2020 ). In addition to the calculations for the Borda method, the column sum for each alternative is calculated.…”

Section: Resultsmentioning

confidence: 99%

A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy

Şahin

2020

Int. J. Environ. Sci. Technol.

108

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This study presents a comprehensive and comparative analysis of weighting and multiple attribute decision-making (MADM) methods in the context of sustainable energy. As the selection problems of energy involve various conflicting attributes, MADM methods have been widely applied in addressing these issues. In this study, six weighting and seven MADM methods that constitute a total of 42 models are implemented to evaluate different weighting and multicriteria decision-making methods and determine the most efficient and sustainable energy option. To determine the weights of economic, environmental, socioeconomic, and technical attributes, two subjective methods-the analytic hierarchy process and best-worst method-and four objective methods-the criteria importance through intercriteria correlation, Shannon's entropy, standard deviation, and mean weight-are used. Thus, both expert evaluations and data-based assessments are considered. Using each attribute weight provided by the six methods, the ranking of electricity generation options for Turkey is obtained through seven MADM methods: the elimination and choice expressing the reality method, the weighted sum method, the weighted product method, the organization, rangement et synthese de donnes relationnelles (ORESTE) method, the technique for order performance by similarity to the ideal solution, the preference ranking organization method for the enrichment of evaluations, and the multiple criteria optimization compromise solution. Rankings obtained from all models are integrated through the Borda, Copeland, and grade average methods. The results indicate that hydro is the optimal electricity generation option, followed by onshore wind, solar PV, geothermal, natural gas, and coal.

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Section: Resultsmentioning

confidence: 99%

A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy

Şahin

2020

Int. J. Environ. Sci. Technol.

108

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“…Then, in order to confirm the suitable axes, the field visit is done based on the criteria of water (quantity and quality), reservoir (slope, permeability, surface, and depth), axis (altitude, length, and lithology), and socio economic factors (distance from village, distance from road, distance from resources of the loan, water needs including drinking, agricultural land, industry, and impact on Qanats). It should be noted that the validation of the axes was done using the studies carried out in this field as well as the views of the relevant experts and professors (Jamali et al 2018;Dortaj et al 2019;Talebi et al 2019). Considering that the subterranean dams did not have any effect on the Qanats, the impact factor on the Qanats was eliminated from the sub-criteria and 11 sub-criteria were used to prioritize the appropriate locations.…”

Section: Methodsmentioning

confidence: 99%

“…The average rainfall in Iran is less than onethird of the average rainfall in the world (Nayebi et al 2016). In addition to, shortage of rainfall and its local and time distribution is also very inconvenient (Nayebi et al 2016;Dortaj et al 2019). Therefore, due to the extraordinary importance of water in arid and semi-arid regions, it is necessary to provide scientific and innovative solutions for A survey of research history shows that the factors influencing in site selection of groundwater dams are different in various regions.…”

Section: Introductionmentioning

confidence: 99%

Prioritizing suitable locations for underground dam construction in south-east of Bushehr Province

2021

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The solutions to deal with the water crisis are summarized into two strategies for managing water resources and extraction of new sources of water. In Iran, due to geographical and climatic conditions, water resources management has a high priority. One of the methods to control and store water in wet periods for using in dry periods is construction of underground dams. The most important problem in the development and creation of underground dams is the complexity of determining the suitable areas for the dams. Developing underground dams can be a viable solution to prevent land use change, the gradual drainage of groundwater and out of reach. The present study was conducted to find the underground dams using Boolean logic and for priority of underground dam sites using MCDM methods include AHP, ANP, VIKOR, TOPSIS and ELECTRE III in four provinces of Bushehr, Tangestan, Dashti, and Jam in southern Iran. The results obtained by Boolean logic showed that the total area of the studied site had about 305 km potential for underground dam construction. In the next step, according to Google Earth images and based on different indices including, axial length, reservoir, lithology, distance from village and roads, 23 potential axes were identified afterward, by extensive field surveys, among these 23 potential axes, 6 locations were identified as suitable locations. In order to prioritize these six areas, the MCDM models were used. Finally, the results of the MCDM models showed that sites have different ranks of 1 to 6 for constructing underground dams. In the end for determined the final rank using Copeland method that result showed Zayer Abbasi site was in the first priority and Faghih Hasenan site is in sixth priority. ANP and AHP method near the Copeland method.

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“…Globally, at least 20 million hectares of agricultural land are irrigated with treated or untreated wastewater [117], often containing excess sodium, magnesium, chloride, and boron, which affect soil alkalinity, phytotoxicity, and heavy metal content. However, geological factors play a dominant role in underground dams for such purposes, including sub-factors such as geological lithology, distance to faults, and distance to lineaments [118][119][120].…”

Section: The Influence Of Dam Use On Criteria Selectionmentioning

confidence: 99%

Dam Siting: A Review

Wang

Tian

Cao

2021

Water

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Dams can effectively regulate the spatial and temporal distribution of water resources, where the rationality of dam siting determines whether the role of dams can be effectively performed. This paper reviews the research literature on dam siting in the past 20 years, discusses the methods used for dam siting, focuses on the factors influencing dam siting, and assesses the impact of different dam functions on siting factors. The results show the following: (1) Existing siting methods can be categorized into three types—namely, GIS/RS-based siting, MCDM- and MCDM-GIS-based siting, and machine learning-based siting. GIS/RS emphasizes the ability to capture and analyze data, MCDM has the advantage of weighing the importance of the relationship between multiple factors, and machine learning methods have a strong ability to learn and process complex data. (2) Site selection factors vary greatly, depending on the function of the dam. For dams with irrigation and water supply as the main purpose, the site selection is more focused on the evaluation of water quality. For dams with power generation as the main purpose, the hydrological factors characterizing the power generation potential are the most important. For dams with flood control as the main purpose, the topography and geological conditions are more important. (3) The integration of different siting methods and the siting of new functional dams in the existing research is not sufficient. Future research should focus on the integration of different methods and disciplines, in order to explore the siting of new types of dams.

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A hybrid multi-criteria decision making method for site selection of subsurface dams in semi-arid region of Iran

Cited by 35 publications

References 21 publications

A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy

A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy

Prioritizing suitable locations for underground dam construction in south-east of Bushehr Province

Dam Siting: A Review

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