Site suitability analysis for solar farms using the geographic information system and multi-criteria decision analysis: the case of Antalya, Turkey

2021 ◽  
Author(s):  
Şura Kırcalı ◽  
Serdar Selim
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Decision Analysis ◽  
Geographic Information ◽  
Suitability Analysis ◽  
Site Suitability ◽  
Multi Criteria Decision Analysis

scholarly journals Site selection for managed aquifer recharge in the city of Kabul, Afghanistan, using a multi-criteria decision analysis and geographic information system

2021 ◽  
Author(s):  
Mohammad Salem Hussaini ◽  
Asadullah Farahmand ◽  
Sangam Shrestha ◽  
Sanjiv Neupane ◽  
Manuel Abrunhosa
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Decision Analysis ◽  
Infiltration Rate ◽  
Managed Aquifer Recharge ◽  
Drainage Density ◽  
Geographic Information ◽  
Aquifer Recharge ◽  
Multi Criteria Decision Analysis ◽  
Suitability Map

AbstractWhile the success and sustainability of managed aquifer recharge (MAR) strongly depends on many characteristics of the site, it is necessary to integrate the site characteristics and develop suitability maps to indicate the most suitable locations. The objective of this study is to integrate geographic information system (GIS) and multi-criteria decision analysis (MCDA) techniques to identify the most suitable areas for a MAR project in the Kabul city area, Afghanistan. Data for six effective criteria, including slope, drainage density, surface infiltration rate, unsaturated zone thickness, soil type and electrical conductivity, were collected and then a classification map was produced for each criterion in the GIS environment. By applying MCDA techniques, the weights of the effective criteria were obtained. A suitability map was generated from each technique separately based on a combination of all criteria weights and thematic layers. The result of the analytical network process (ANP) method was found to be more precise and reliable compared with that of the analytical hierarchy process (AHP) method. Based on the final suitability map produced from the ANP model, there is 3.7, 15.0, 37.4, 33.1 and 10.3% of the total area that is unsuitable, of low suitability, moderately suitable, suitable and very suitable for MAR application, respectively. As a final result of this work, seven sites have been prioritized based on land use. The integration of multi-criteria decision analysis and GIS is recognized as an effective method for the selection of managed aquifer recharge sites.

scholarly journals Site Suitability Analysis for Local Airport Using Geographic Information System

2018 ◽  
Vol 7 (1) ◽  
pp. 2719-2727
Author(s):  
Thudugalage Don Chaminda Pushpakumara ◽  
◽  
A. Nimesh Chaturanga Rodrigo ◽  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Suitability Analysis ◽  
Site Suitability

Landfill siting based on optimisation, multiple decision analysis, and geographic information system analyses

2018 ◽  
Vol 36 (7) ◽  
pp. 606-615 ◽  
Author(s):  
Luciana MG Spigolon ◽  
Mariana Giannotti ◽  
Ana P Larocca ◽  
Mario AT Russo ◽  
Natália da C Souza
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Decision Analysis ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Geographic Information ◽  
Landfill Site ◽  
Sanitary Landfill ◽  
Sanitary Landfills ◽  
The Cost

Sanitary landfill remains the most common methodology for final treatment and disposal of municipal solid waste worldwide, the cost per tonne depends on its scale. The bigger the landfill, the cheaper the cost of treatment, so the consortium of municipalities is the solution to achieve an economic scale. However, the growth of waste production introduces pressure for adequate solutions and therefore has been increasing sanitary landfill site selection studies. This study proposes a methodology for siting sanitary landfills and optimising the transport of municipal solid waste for a locality in the state of São Paulo, Brazil. Environmental, social, and economic criteria were established. Their correlated attributes were categorised into suitability levels and weighted according to multiple decision analysis. The data were organised and mapped within a geographic information system. Considering sites where landfills are prohibited, two scenarios were generated. The Mixed-Integer Quadratic Programming mathematical model is used to minimise the costs of transporting municipal solid waste and operating sanitary landfills. In Scenario 1, the results indicated that 64% of the area was suitable as a potential sanitary landfill site, 9% of the area exhibited medium suitability, and 27% of the area was classified as restricted. In Scenario 2, the results indicated that 25% of the area was suitable as a potential sanitary landfill site, 4% of the area had medium suitability, and 71% of the area was classified as restricted. The optimal solutions for Scenario 1 and Scenario 2 enabled sites to be determined for five landfills and four landfills, respectively.

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