GIS-based multi-criteria decision analysis for site selection of hybrid offshore wind and wave energy systems in Greece

In recent years, decentralized composting appeared as one of the most appropriate treatment options for organic waste valorization in low- and middle-income countries. In Cote d’Ivoire, a pilot project has proved the feasibility of organic municipal solid waste composting for the city of Tiassalé. However, numerous issues still need to be addressed for the establishment of a sustainable decentralized composting system in this city. One of the key issues is site selection. Until now, there is no clear model for such plant site selection. In this study, multi-criteria decision analysis (MCDA) and geographical information system (GIS) approaches were combined to develop an appropriate model for selecting decentralized composting sites in the city of Tiassalé. The methodology used involved two different and complementary phases. First, MCDA and GIS techniques were used to identify the most suitable site areas. Seven criteria clustered in three main factors (environmental, social and economic), and five constraints were considered in the analysis process. Second, five sites were selected within the most suitable areas after a basic field visit and ranked using the Analytic Hierarchy Process. The results showed that the most suitable spaces for decentralized composting plant siting represent only 2.6% of the study area. The investigation yielded on the selection of the two best options for decentralized composting plant siting for the city of Tiassalé. This study proved that the combination of MCDA and GIS is a practical and efficient method to identify suitable sites for decentralized composting plants.

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Decision Making Methods in Comparative Studies of Complex Economic Processes Management

Iraqi Journal of Science ◽

10.24996/ijs.2020.61.3.22 ◽

2020 ◽

pp. 652-664

Author(s):

Kesra Nermend ◽

Mateusz Piwowarski ◽

Mariusz Borawski

Keyword(s):

Decision Making ◽

Comparative Analysis ◽

Decision Analysis ◽

Expert Assessment ◽

Demographic Situation ◽

Multi Criteria Decision Analysis ◽

Economic Process ◽

Methodological Approaches ◽

Support Methods ◽

Selection Of

In this study different methodological approaches are used and described by many features (indicators) of complex socio-economic process. Outcome of analysis has the most reliable and acceptable representation of the studied process specific to chosen case. In order to solve problems in this area (depending on the situation, case under consideration), methods from two groups are most often used: multidimensional comparative analysis and multi-criteria decision analysis. The first of these cases concern problems at the macro level (socio-economic development, demographic situation, population's living standards, etc.), in which the decisionmaker's participation is relatively small (eg the selection of diagnostic variables or expert assessment). The second of these groups include issues in which the decisionmaker's participation is significant which are subjective to the decisions taken and reflects his or her preferences. Among the decision support methods, one can also distinguish those that have both the characteristics of methods from the area of multidimensional comparative analysis and multi-criteria decision analysis. The article presents the combination of both trends exposing maximum possibilities of using selected methods used in the decision making by Polish schools. The general methodological assumptions, advantages of having approaches discussed (in relation to other known methods) as well as the applied aspects (exemplary applications) also presented.

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GIS-Based Multi-Criteria Decision Analysis of Site Selection for Photovoltaic Power Plants in Çanakkale Province

International Journal of Environment and Geoinformatics ◽

10.30897/ijegeo.689570 ◽

2020 ◽

Vol 7 (3) ◽

pp. 347-355

Author(s):

Canan KOCABALDIR ◽

Mehmet Ali YÜCEL

Keyword(s):

Decision Analysis ◽

Site Selection ◽

Power Plants ◽

Multi Criteria Decision Analysis ◽

Photovoltaic Power ◽

Selection For

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Optimal selection of acoustic leak detection techniques for water pipelines using multi-criteria decision analysis

Management of Environmental Quality An International Journal ◽

10.1108/meq-05-2017-0043 ◽

2018 ◽

Vol 29 (2) ◽

pp. 255-277 ◽

Cited By ~ 3

Author(s):

Sepideh Yazdekhasti ◽

Kalyan Ram Piratla ◽

John C. Matthews ◽

Abdul Khan ◽

Sez Atamturktur

Keyword(s):

Decision Analysis ◽

Leak Detection ◽

Performance Data ◽

Optimal Selection ◽

Water Utility ◽

Typical Application ◽

Content Type ◽

Detection Techniques ◽

Multi Criteria Decision Analysis ◽

Selection Of

Purpose There has been a sustained interest over the past couple of decades in developing sophisticated leak detection techniques (LDTs) that are economical and reliable. Majority of current commercial LDTs are acoustics based and they are not equally suitable to all pipe materials and sizes. There is also limited knowledge on the comparative merits of such acoustics-based leak detection techniques (ALDTs). The purpose of this paper is to review six commercial ALDTs based on four decisive criteria and subsequently develop guidance for the optimal selection of an ALDT. Design/methodology/approach Numerous publications and field demonstration reports are reviewed for evaluating the performance of various ALDTs in this study to inform their optimal selection using an integrated multi-criteria decision analysis (MCDA) framework. The findings are validated using interviews of water utility experts. Findings The study approach and the findings will have a broad impact on the water utility industry by identifying a suite of suitable ALDTs for a range of typical application scenarios. The evaluated ALDTs include listening devices, noise loggers, leak-noise correlators, free-swimming acoustic, tethered acoustic, and acoustic emissions. The evaluation criteria include cost, reliability, access requirements, and the ability to quantify leakage severity. The guidance presented in this paper will support efficient decision making in water utility management to minimize pipeline leakage. Originality/value This study attempts to address the problem of severe dearth of performance data for pipeline inspection techniques. Performance data reported in the published literature on various ALDTs are appropriately aggregated and compared using a MCDA, while the uncertainty in performance data is addressed using the Monte Carlo simulation approach.

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