Sustainable Development Goals (SDGs) Associated with Groundwater Over-Exploitation Vulnerability: Geographic Information System-Based Multi-criteria Decision Analysis

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.

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

Clean Technologies and Environmental Policy ◽

10.1007/s10098-020-02018-3 ◽

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

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Realization of a Geographic Information System for aid decision-making for forest management

Algerian Journal of Renewable Energy and Sustainable Development ◽

10.46657/ajresd.2020.2.2.10 ◽

2020 ◽

Vol 2 (02) ◽

pp. 175-180

Author(s):

Djelloul Benatiallah ◽

Halima Hidaoui ◽

Bahous Nasri ◽

Kada Bouchouicha ◽

Ali Benatiallah

Keyword(s):

Decision Making ◽

Sustainable Development ◽

Information System ◽

Decision Support ◽

Geographic Information System ◽

Satellite Images ◽

Geographic Information ◽

Dialogue Process ◽

Current Context ◽

Aid Decision

This work aims to create a decision support and geographic information system aimed at optimizing the management of forest capital in the Adrar region. Through this awareness, we question the place of geographic information in the dialogue process and the approach to sustainable development. Cadastral data, satellite images, cartographic and photographic data will be presented. Data processing and data integration will be discussed. The expected results must provide knowledge beyond reach without these tools. They clarify the importance of satellite images and the spatial component of geographic information. In the current context of sustainable development, geographic information appears necessary for decision-making.

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

Waste Management & Research ◽

10.1177/0734242x18773538 ◽

2018 ◽

Vol 36 (7) ◽

pp. 606-615 ◽

Cited By ~ 13

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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