Land suitability assessment (LSA) for aquaculture site selection via an integrated GIS-DANP multi-criteria method; a case study of lorestan province, Iran

Ghobadi, Morteza; Nasri, Manoochehr; Ahmadipari, Masumeh

doi:10.1016/j.aquaculture.2020.735776

Cited by 44 publications

(27 citation statements)

References 26 publications

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“…To achieve validation of land evaluation and indicators related to aquaculture in Iran, looking at all the studies published to date on the topic, we identified six key papers [15,33,54,69,76,77]. All these studies showed similar climatic and geographical specifications in which the most practical indicators in relation to sustainable aquaculture were slope, soil structure, and soil texture and depth.…”

Section: Discussionmentioning

confidence: 99%

“…ANP is a MCDM method that transforms the decision process into a decision criteria network [65]. Using this approach, the twopair comparison system aided in determining the weight of the structural conditions followed by the prioritization of the criteria in the MCDM process [12,15,64,66,67]. Many researchers have used ANP approaches in selecting locations and evaluating and analyzing land [12,15,64,[67][68][69][70][71].…”

Section: Analytical Processmentioning

confidence: 99%

“…Using this approach, the twopair comparison system aided in determining the weight of the structural conditions followed by the prioritization of the criteria in the MCDM process [12,15,64,66,67]. Many researchers have used ANP approaches in selecting locations and evaluating and analyzing land [12,15,64,[67][68][69][70][71]. Steps for applying ANP are pieced together in four-step process.…”

Section: Analytical Processmentioning

confidence: 99%

See 2 more Smart Citations

Aquaculture Site Selection of Oncorhynchus Mykiss (Rainbow Trout) in Markazi Province Using GIS-Based MCDM

Aghmashhadi

Azizi²,

Hoseinkhani

et al. 2022

IJGI

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The production of seafood, particularly in areas far from coastlines, makes aquaculture an optional farming alternative. Case research from the semi-arid Markazi province, Iran, is examined as a viable aquaculture location for Oncorhynchus mykiss (rainbow trout). ArcGIS Version 10.6.1 and Super Decision Version 3.2 software are utilized for the zoning and assessment of criteria maps. All criteria, i.e., sub-criteria and limitations, were gathered through the academic literature, qualitative interviews via expert opinion, national data, and guidelines. By imposing constraints on the premier aquatic potential map, the final map of the aquaculture potential of Markazi province was obtained. The results indicated that 40.79% of Markazi province has a high potential for aquaculture development. According to the sensitivity analysis, changes in criterion value (i.e., increase or decrease) in weight corresponded with the rate of change. Aquaculture development would require large-scale investment and make Markazi province a major seafood producer in the region.

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Section: Discussionmentioning

confidence: 99%

Section: Analytical Processmentioning

confidence: 99%

Section: Analytical Processmentioning

confidence: 99%

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Aquaculture Site Selection of Oncorhynchus Mykiss (Rainbow Trout) in Markazi Province Using GIS-Based MCDM

Aghmashhadi

Azizi²,

Hoseinkhani

et al. 2022

IJGI

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“…Determination of the location is crucial in aquaculture because the ideal area will increase the efficiency of cultivation activities and reduce environmental impacts due to cultivation activities [4,16] . The application of GIS combined with multi-criteria decision making methods (MCDM) would result in the optimum location for aquaculture activities, because the combination of GIS and MCDM will produce more data to improve quality of final decisions [17] . Digitization in the pre-cultivation phase will obtain more mature, comprehensive, and long-term planning of aquaculture activities.…”

Section: Utilization Of Digitalization In Aquaculture Sector Aquacult...mentioning

confidence: 99%

Digitization of aquaculture: A review

Pratiwy¹,

Cahya²,

Andriani³

2022

Int. J. Fish. Aquat. Stud.

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Industrial revolution 4.0 is a transition from manual process to automation processes were based on computer technology capabilities. Technological development towards the use of the Internet of Things (IoT) and Big Data must begin with the digitization process in all sector, including fisheries and aquaculture. Digitization in fisheries has brought many changes to the process of cultivation and catching fish. Time, cost, and labor efficiency are the main advantages of digitizing fisheries. The purpose of this paper is to determine the extent to which the digitization in fisheries, especially aquaculture, the method used in this paper is systematic literature review. The process of digitizing aquaculture can be seen from various aspects, including pre-production aspects (determination of cultivation locations using GIS), production aspects (using automatic feeders and automatic water quality testing tools can improve resource efficiency), and post-production aspects (utilization of digital marketing).

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“…Various studies have used ANP-based methods in land capability and zoning (Aragonés-Beltrán et al, 2010;Kuei-Lun et al, 2015;Zarei et al, 2016;Arsic et al, 2017;Yunna et al, 2018;Chao et al, 2020;Ghobadi et al, 2021). The ANP procedure is realized through four steps (Saaty, 2006;Panić and Lovren, 2014).…”

Section: Analytical Network Processmentioning

confidence: 99%

Industrial park land capability assessment and post-evaluation in Markazi province

Aghmashhadi

Azizi²,

Hoseinkhani

et al. 2021

Appl Geomat

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Markazi province in Central Iran is a highly attractive area for the development of industrial centers; however, over the last few decades, unregulated development has led to environmental and socioeconomic issues. The purpose of this research is to evaluate the existing industrial parks and identify potential areas for appropriate development. An industrial land capability assessment utilized 14 main criteria and 10 constraint parameters of socioeconomic, infrastructural, biological, and physical aspects using a geographic information system-based analytical network process model. Results show that Markazi province has 14.27% of highly suitable and 11.32% of extremely suitable area for industrial development; contrariwise, 60.14% of the province has no potential or is classified as an exclusion zone. Moreover, 44.4% (i.e., 8 parks) of the province’s industrial parks are located in unsuitable zones. According to the land capability of Markazi province, the need to organize existing industrial parks and integrate industrial units alongside existing centers and potential areas should be considered in the industrial development policies of the province. The results of the sensitivity analysis also support the research findings.

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Land suitability assessment (LSA) for aquaculture site selection via an integrated GIS-DANP multi-criteria method; a case study of lorestan province, Iran

Cited by 44 publications

References 26 publications

Aquaculture Site Selection of Oncorhynchus Mykiss (Rainbow Trout) in Markazi Province Using GIS-Based MCDM

Aquaculture Site Selection of Oncorhynchus Mykiss (Rainbow Trout) in Markazi Province Using GIS-Based MCDM

Digitization of aquaculture: A review

Industrial park land capability assessment and post-evaluation in Markazi province

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