scholarly journals Landfill Site Selection Using MCDM Methods and GIS in the Sulaimaniyah Governorate, Iraq

2019 ◽  
Vol 11 (17) ◽  
pp. 4530 ◽  
Author(s):  
Karwan Alkaradaghi ◽  
Salahalddin S. Ali ◽  
Nadhir Al-Ansari ◽  
Jan Laue ◽  
Ali Chabuk
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Site Selection ◽  
Urban Areas ◽  
Oil And Gas ◽  
High Capacity ◽  
Landfill Site ◽  
Multi Criteria Decision Making ◽  
Landfill Site Selection ◽  
Environmental Criteria

A shortage of land for waste disposal is one of the serious problems that faces urban areas in developing countries. The Sulaimaniyah Governorate, located in the north of Iraq, is one of the major cities in the Kurdistan Region of the country, covering an area of 2400 km2 with a population of 856,990 in 2016. Currently, there is no landfill site in the study area that meets scientific and environmental criteria, and inappropriate solid waste dumping is causing negative environmental impacts. The process of landfill site selection is considered a complex process and is restricted by numerous factors and regulations. This paper proposes multi-criteria decision-making (MCDM) methods in a model for landfill site decision. The model assumes the input of two groups of factors that need to satisfy the optimal values of weight coefficients. These groups of constants are natural factors and artificial factors, and they included thirteen selected criteria: slope, geology, land use, urban area, villages, rivers, groundwater, slope, elevation, soil, geology, road, oil and gas, land use, archaeology and power lines. The criteria were used in the geographic information system (GIS), which has a high capacity to process and analyze various data. In addition, multi-criteria decision-making (MCDM) methods followed by the weighted linear combination (WLC) method were used to derive criteria weightings using a matrix of pair-wise comparison. Finally, all the multi criteria decision methods were combined to obtain an intersection of the suitability index map for candidate landfill sites. Seven appropriate sites for landfill were suggested, all of which satisfied the scientific and environmental criteria which were adopted in this study.

Landfill site selection using GIS and multi-criteria decision-making. Case study of a region in Morocco

2023 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Omar Ouhsine ◽  
Mohamed Berkani ◽  
Reda Elkacmi ◽  
Abdellah OUIGMANE ◽  
Aziz Hasib ◽  
...  
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Landfill Site ◽  
Multi Criteria Decision Making ◽  
Landfill Site Selection

scholarly journals MUNICIPAL SOLID WASTE LANDFILL SITE SELECTION USING MULTI-CRITERIA DECISION MAKING AND GIS: CASE STUDY OF BURSA PROVINCE

2018 ◽  
Vol 26 (2) ◽  
pp. 107-119 ◽  
Author(s):  
Volkan Yildirim ◽  
Tugba Memisoglu ◽  
Sevket Bediroglu ◽  
H. Ebru Colak
Keyword(s):  
Decision Making ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Site Selection ◽  
Landfill Site ◽  
Geographical Information ◽  
Municipal Solid Waste Management ◽  
Multi Criteria Decision Making ◽  
Landfill Site Selection ◽  
Waste Landfill

Rapid population growth, economic development and industrialization have created many problems related to municipal solid waste management (MSWM) in developing countries like Turkey. Solid waste disposal has become mandatory because of increasingly common factors such as global warming and contamination of water resources. In recent years, this situation has revealed the need for effective management of solid waste. Suitable site selection requires evaluation and analysis of multiplefactor. Therefore, it is very important that the design of landfill site selection take into account environmental, economical and sociologicalfactors. In order to do this, the Geographical Information System (GIS) used with Multi Criteria Decision Making (MCDM) techniques is a useful tool for creating a model. One such MCDM is the Spatial-integrated Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In this study, TOPSIS was applied to integrate environmental, economical and sociological sensitivity into determine alternative solid waste landfill sites for Bursa Province, Turkey. Using the data obtained by comparing the geo-statistics, six of the most suitable landfill areas were determined. In the final stage, as a result of this study, the Kayapa district was identified as the most suitable landfill area.

scholarly journals Integrating knowledge-based multi-criteria evaluation techniques with GIS for landfill site selection: A case study using AHP

2016 ◽  
Vol 63 (3) ◽  
pp. 169-182 ◽  
Author(s):  
B.J. Fagbohun ◽  
O.O. Aladejana
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Environmental Regulations ◽  
Landfill Site ◽  
Landfill Site Selection ◽  
Knowledge Based ◽  
Weighted Index Overlay Analysis ◽  
Land Use Plan ◽  
Suitable Area ◽  
Selection Of

Abstract A major challenge in most growing urban areas of developing countries, without a pre-existing land use plan is the sustainable and efficient management of solid wastes. Siting a landfill is a complicated task because of several environmental regulations. This challenge gives birth to the need to develop efficient strategies for the selection of proper waste disposal sites in accordance with all existing environmental regulations. This paper presents a knowledge-based multi-criteria decision analysis using GIS for the selection of suitable landfill site in Ado-Ekiti, Nigeria. In order to identify suitable sites for landfill, seven factors - land use/cover, geology, river, soil, slope, lineament and roads - were taken into consideration. Each factor was classified and ranked based on prior knowledge about the area and existing guidelines. Weights for each factor were determined through pair-wise comparison using Saaty’s 9 point scale and AHP. The integration of factors according to their weights using weighted index overlay analysis revealed that 39.23 km2 within the area was suitable to site a landfill. The resulting suitable area was classified as high suitability covering 6.47 km2 (16.49%), moderate suitability 25.48 km2 (64.95%) and low suitability 7.28 km2 (18.56%) based on their overall weights.

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