Landfill Site Selection Research Articles

SUITABILITY MAPPING FOR OPTIMAL LANDFILL SITE IN COASTAL MOUNTAIN MUNICIPALITIES. CASE STUDY: COLLO MASSIF (NORTHEASTERN ALGERIA)

The management of Municipal Solid Waste (MSW) in coastal mountainous regions displays a significant challenge to sustainable development in Algeria, particularly in its environmental dimension. Local stakeholders face substantial difficulties in identifying appropriate sites for solid waste disposal in this area due to the fragility and complexity of their ecological systems and their potential to amplify the impacts of waste disposal. This affects directly the quality of life, sustainability of natural resources, and threatens the scenic beauty of this tourist destination. Therefore, developing a mechanism based on scientific knowledge to facilitate decision-making processes in these regions is imperative. This paper aims to underscore the importance of employing Cartographic Suitability Mapping for Optimal Landfill Site Selection in coastal mountainous regions as an effective tool to ensure precise results, focusing on the study case of Collo, Skikda state, Algeria. The results show four categories of land suitability: constraint (5.22-7.76) , unsuitable (3.25-4.26), and suitable area (1.21-3.24), with four candidate areas identified as the most suitable for landfill establishment. It is recommended that future studies incorporate social and economic dimensions to further enhance decision-making processes in this regard.

Landfill site selection using analytical hierarchy process and GIS: a case study in Al-Zubair district, Basrah, Iraq

Landfill site selection using analytical hierarchy process and GIS: a case study in Al-Zubair district, Basrah, Iraq

An integrated GIS-MCDM framework for zoning, ranking and sensitivity analysis of municipal landfill sites

ABSTRACT This study introduces a comprehensive Geographic Information System – Multi Criteria Decision-Making (GIS-MCDM) framework to identify and evaluate potential municipal landfill sites in Nashik, India. The approach integrates topographic, geomorphological, environmental, and infrastructure criteria to create thematic raster layers representing suitability for landfill development. Criteria include ground slope, elevation, land use, proximity to water bodies, land value, and infrastructure proximity. The Analytical Hierarchy Process (AHP) was employed to determine the relative weights of these criteria, facilitating the computation of the Landfill Suitability Index (LSI) and the creation of a suitability map. The analysis classified the 480 sq. km study area into five categories, with 6.79% of the area deemed “Very High” suitability. The TOPSIS method ranked 16 potential sites within high-suitability regions, identifying L10 near Adagaon as the most optimal site. Sensitivity analysis confirmed the stability of site rankings under various weight adjustments, providing robust tool for evidence-based landfill site selection.

Insights on optimizing landfill site selection inspired by co-fermentation of weathered coal and landfill leachate

To develop new methods for transforming waste resources such as landfill leachate and weathered coal into clean energy, this research analyzed the co-fermentation effect and internal mechanism of methane production through gas chromatography, three-dimensional fluorescence, inducive coupling and metagenomics techniques. Our findings revealed that landfill leachate addition drives more than 70% increase in weathered coal biomethane production. Anaerobic fermentation collectively increased the tryptophan content in liquid-phase biodegradation, with the highest proportion reaching up to 72%. Paracoccus, Ralstonia, Aquamicrobium and other major microorganisms were in the range of 9–32%. Contamination of heavy metal diversity resistance genes has impacted microflora composition, with specialized heavy metal resistance genes such as NreB, CopD, NreB, and MerP altering the influence of heavy metals on anaerobic fermentation. The combined anaerobic fermentation of landfill leachate and weathered coal has expanded clean waste utilization and has broad application prospects.

Landfill site selection for municipal solid waste using the geospatial technique: a case study in Tuy Hoa city and surrounding areas

Landfill site selection for municipal solid waste using the geospatial technique: a case study in Tuy Hoa city and surrounding areas

Data-driven landfill suitability mapping in Lagos State using GIS-based multi-criteria decision making

AbstractCareful selection of landfill sites is essential because improper dumping of wastes can negatively impact health and degrade the environment. Therefore, this research presents a Geographic Information System based—Fuzzy Analytic Hierarchy Process multicriteria decision-making approach for landfill zonation in Lagos State, Nigeria. Due to the rapid urbanisation leading to urban expansion and conversion of the landfills to built-up areas in Lagos State, the functioning landfills have been reduced. After a comprehensive literature review, this study considers nine factors: slope, elevation, land use and land cover, lithology, soil type, Normalised Difference Vegetation Index, the distances to roads, distance to settlements, and distance to water bodies. From the decision matrix, the distance to water bodies, distance to roads, distance to settlements, and land use and land (LULC) cover were ranked with percentage weights of 22%, 19%, 17% and 11%, respectively. Afterwards, potential landfill sites were mapped and classified into five classes: very low (626.48 km2, 16.66%), low (1277.56 km2, 33.97%), moderate (1227.97 km2, 32.65%), high (500.52 km2, 13.31%), and very high (128.13 km2, 3.41%). The low and moderate suitability classes have the highest areal coverage due to the state's increased population and urbanisation. A large percentage of the high to very high suitability classes are located in Epe, Ikorodu, and Ibeju-Lekki local government areas (LGAs) which have lower urbanisation levels compared to most of the other LGAs. Therefore, governments and stakeholders should explore these areas for siting of landfills.

Optimal landfill site selection through the application of GIS analysis & geotechnical investigation

ABSTRACT Disposal of municipal solid waste is a significant environmental issue that has detrimental effects on both the environment and human life. The selection of landfill sites is critical and essential to implementing a comprehensive waste management strategy. This study optimizes the selection of landfill sites in Kuwait through the use of overlay analysis and Geographic Information System in conjunction with multi-criteria decision analysis. The study analysis takes into account human, physical economical, environmental, and governmental factors. Seven optimal locations are depicted on the resulting suitability map, each occupying 10 square kilometres or more and have the capacity to handle solid waste for at least one decade per site, considering the current reported waste generation rate. Furthermore, results of a preliminary geotechnical investigation encompassing field and laboratory tests conducted on soil samples collected at one of the proposed sites are presented. The characterization of the retrieved samples included major geotechnical parameters that are of concern in landfill design and siting studies. The results indicate that the soil at the proposed site exhibited low values of hydraulic conductivity, ranging between 3.50 X 10−07 and 8.96 X 10−08 cm/sec, confirming its suitability for siting landfills. There is an urgent need to develop and implement an integrated waste management system in Kuwait. By leveraging the findings of this study, policymakers and governmental authorities can optimize their decision-making procedures to ensure more effective site selection. This approach will significantly reduce contamination risks and enhance sustainability, leading to a more environmentally responsible waste management system in the country.

Optimizing Landfill Site Selection Using Fuzzy-AHP and GIS for Sustainable Urban Planning

Careful landfill selection with minimal environmental impact is vital for urban planners. This study aims to identify suitable sites for controlled landfills using Fuzzy-AHP integrated with Remote Sensing and GIS, considering a 20-year projection of population and solid waste generation. Initially, twelve sub-criteria were identified, grouped into environmental, socio-economic, and physical categories, and then weighted using paired comparison matrices involving nine experts. The sub-criteria were rasterized and classified into four suitability levels. The weighted overlay of sub-criteria maps generated a territorial suitability model. Within the Alto Utcubamba Commonwealth (Amazonas, Peru), 0.069%, 41.70%, 66.934%, 0.20%, and 12.4% of the territory are suitable, moderately suitable, less suitable, unsuitable, and restricted, respectively, for landfill establishment. Subsequently, 16 highly suitable sites were selected based on the required area (S4 polygons ≥ 0.505 ha) in line with the projected solid waste generation over 20 years. Of the 16 selected areas, only 15 met the shape index. The model showed high accuracy (AUC = 0.784) during validation. Furthermore, this study provides a comprehensive framework for making decisions about waste management in developing countries, enhancing understanding of key factors in selecting landfill sites. It also offers a deeper insight into global and local factors that determine the suitability of landfill sites. Doi: 10.28991/CEJ-2024-010-06-01 Full Text: PDF

A comprehensive review on the integration of geographic information systems and artificial intelligence for landfill site selection: A systematic mapping perspective.

Properly selecting landfill sites for waste disposal is crucial for mitigating environmental and public health risks. Geographic Information Systems (GISs) and Artificial Intelligence (AI) techniques have emerged as valuable tools for identifying suitable landfill locations. This study presents a systematic mapping study (SMS) that investigates the usage of GIS and AI in landfill site selection. We searched six databases (IEEE Xplore, ACM Digital Library, Science Direct, Emerald Insight, Taylor & Francis Online and Web of Science) using predefined keywords related to landfills, GIS and AI. From 858 initially retrieved articles, we selected 48 relevant articles for in-depth analysis. Our research aimed to answer various questions, such as publication trends, the geographic distribution of case studies, criteria for assessing landfill suitability, tools and techniques employed, preliminary site screening methods, decision-making processes, limitations and future research directions. We used bubble charts, bar charts and tables to visualize the results. The findings of our study highlight the growing interest in using GIS and AI for landfill site selection and emphasize the importance of incorporating multi-criteria decision-making techniques. Furthermore, the results reveal the need for developing more advanced AI models, addressing the limitations of current approaches and exploring novel visualization techniques for enhancing landfill site selection processes. This study provides valuable insights for researchers and practitioners in waste management, environmental science and geoinformatics. It sets the groundwork for future research on improving GIS- and AI-based landfill site selection methodologies.

SELECTION OF SUITABLE LANDFILL SITE FOR WASTE DISPOSAL IN ILORIN METROPOLIS USING GEOGRAPHICAL INFORMATION SYSTEM

Rapid urbanization globally has aggravated and worsen the management of municipal solid waste (MSW) in cities, especially the developing countries. This article underscores the pressing need for effective waste management solutions from the unruly contamination of soil and groundwater, or improper waste disposal and focuses on the selection of suitable landfill sites using Geographic Information Systems (GIS) techniques. With a global increase in MSW generation, especially in Sub-Saharan Africa, the environmental and health consequences of open dumping is hazardous. The study employs Multi-Criteria Evaluation (MCE) and Analytical Hierarchy Process (AHP) within the GIS environment, considering criteria such as elevation, slope, aspect, soil properties, proximity to roads, water bodies, and settlements. The analysis integrates diverse data sources, including remote sensing and soil databases, offering a comprehensive evaluation of topographical factors, soil characteristics, and accessibility. Results indicated that approximately 29.73%, falls under the category of “Restricted Area,” totaling 18,887.18 hectares. High Suitable areas cover 15.85% of the region, comprising 10,070.28 hectares, while “Very High Suitable” areas, though minimal in coverage at 0.02%, represent nearly perfect sites totaling approximately 12.35 hectares. The results offer valuable insights into landfill suitability, providing a foundation for informed decision-making and sustainable waste management strategies.

Suitability location for landfill using a fuzzy-GIS model: A case study in Hillah, Iraq

Abstract One of the most significant issues facing local governments and municipalities worldwide is choosing an appropriate location for landfills. In order to suggest appropriate places for waste sites, this study proposes a strategy using a fuzzy logic model and spatial analytic tools. The proposed approach utilized five parameters extracted from Geographic Information System (GIS) layers in Hillah city in Iraq, which include distances from hydrology features, residential or urban areas, transportation, and historical locations. These parameters were used as standards to construct a geodatabase for generating suitability maps. These indicators are relevant factors in determining the suitability of a site for an urban landfill. It is important to consider the distance from residential or urban areas when selecting a landfill site. A significant distance helps reduce the potential negative impacts on nearby communities, such as odors, noise, traffic, and health concerns associated with waste disposal, and for the other indicators. The fuzzy logic model is more accurate than conventional methods such as the weighted overlay approach. Based on a fuzzy logic model, the total surface area of acceptable locations is 1.1 km². According to the fuzzy logic model, some frequent adequate places were discovered to be beyond the city borders, to the west and south of the research region. To minimize the negative impacts on the environment and its residents, this study demonstrated how the fuzzy logic model and GIS might be combined for waste management decision concerns connected to landfill site selection.

Group decision model to support public managers in landfill site selection

Group decision model to support public managers in landfill site selection

Site Selection for Municipal Solid Waste Landfill in Coastal Area by Combining GIS–AHP Methods: A Case Study in East of Mazandaran Province, Iran

Site Selection for Municipal Solid Waste Landfill in Coastal Area by Combining GIS–AHP Methods: A Case Study in East of Mazandaran Province, Iran

Utilization of GIS Model Mapping to Detect Fault Segments in Mesopotamian Foredeep Basin

The Mesopotamia Basin is widely recognized as a significant aggradation geomorphological entity, characterized by the dominance of fluvial, lacustrine, and aeolian landforms. The geographical scope of this study spans a specific region within the Mesopotamian Basin, specifically including Nasiriyah and Basrah located in the southern region of Iraq. It comprises a collection of Joint and fault systems that serve as indicators of various tectonic occurrences that have influenced the Arabian plate from the pre-Cambrian era up till the present day. The major goal of this model is to mapping and detects fault segments to get information about the large faults existing which is not recognized by prior work. A Geographic Information System (GIS) model was employed to create three digital layers, namely Lineament, drainage patterns, and lithological contact. These layers were established using several sources of information. The initial step of the GIS demonstration includes the input information, and the subsequent includes the selection of the equation for this model to specify the vulnerability of faulting segments in the research sector. Moderate to large lineaments (fault lines) were identified the results suggest an additional (26,15) new fault segment line numbers for the areas Nasiriyah and Basrah respectively which were not known by the fault map over the research sector, these fault lines reflect crustal structures (large length lineaments), as well as analysis lineaments from satellite images, enables obtaining a miscellany of terrain applications, such as the selection of landfill sites, determining terrain stability, dam sites, and many other applications

A decision-making framework for landfill site selection in Saudi Arabia using explainable artificial intelligence and multi-criteria analysis

The rapid urbanisation in Abha, Saudi Arabia, especially in the mountainous landscape, makes it necessary to identify the optimal locations for environmentally friendly building complexes. This study introduces a transparent decision making framework for landfill site selection that combines multi-criteria decision making, fuzzy set theory, GIS and eXplainable Artificial Intelligence (XAI). We focused on the complex interplay of geophysical, geoecological and socio-economic parameters and used fuzzy analytical hierarchy process (AHP) for parameter weighting to address the challenges of site selection in mountainous urban centre in developing country. An index map, called the Landfill Site Potential Index (LSPI), was generated, integrating all key parameters to indicate suitable zones for landfill sites. The LSPI was classified into different suitability zones, ranging from very high to very low suitability, using Self-Organising Maps (SOM) in combination with k-means clustering. The use of XAI models, in particular an optimised bagging ensemble model, provided crucial insights into the factors influencing site suitability. The LSPI with a mean value of 0.681 was categorised into five zones, ranging from very low (7.25%) to very high suitability (20.60%). Within the most suitable zone, ten sub-zones were defined for the prioritised development of landfill sites. The model showed high accuracy, with the SHAP and LIME analyses providing a deeper understanding of the global and local determinants of landfill site suitability. This study not only provides a comprehensive and transparent decision-making framework for waste management in developing countries, but also improves the understanding of the critical factors in landfill site selection.

Site selection for construction and demolition waste landfill using catastrophe theory: the case of Bonab city, Iran.

Rapid urbanization and physical development have produced a significant quantity of construction and demolition waste in Bonab, a city in northwest Iran. In order to achieve a high level of accuracy and minimize subjective bias, catastrophe theory (CT) principles were combined in the geographic information system (GIS) environment for identifying suitable locations for safe disposal of the waste. Site selection process for construction waste landfill (CWLF) in Bonab city involved preparation and integration of 12 maps representing elevation, slope, geology, soil type, land use, vegetation, distance to population centers, valuable ecosystems, river, groundwater, and access to the main roadways with the CT to reduce uncertainty associated with subjective evaluations. Evaluation of relative importance of the variables showed that elevation, slope, distance to the city, vegetation cover, and distance to communication networks have greater importance in site selection for construction waste landfill. On the contrary, distance to the river, groundwater level, distance to villages, and valuable ecosystems have the least impact. Suitable areas were identified in parts of the north and west of the city. The identified sites have a gentle slope, low agricultural potential, good access to the communication networks, suitable distance to the city, and no limitations regarding the groundwater level, geological formations, and vegetation cover.

Optimized landfill site selection for municipal solid waste by integrating GIS and multicriteria decision analysis (MCDA) technique, Hossana town, southern Ethiopia

Improper solid waste disposal has remained the major bottleneck for the socio-economic development particularly in urban and peri-urban areas of Ethiopia. This study was conducted with the prime aim of identifying an optimum municipal solid waste (MSW) management option subsequently selecting the best landfill site in Hossana town using integrated geographical information systems (GIS) and multicriteria decision analysis (MCDA) techniques. Accordingly, GIS integrated with MCDA was used to analyze the relative weight of each criterion and the overall suitability map where ten criteria were considered within their respective constraints. To create a landfill suitability index, environmental and socioeconomic factors such as distance from settlement, land use and land cover, lineament, slope, road, and wind direction/aspect were weighted. Population growth, waste generation rate, and waste volume/year were used to calculate the required landfill size. The study finding revealed that the town's MSW generation rate was 0.45 kg/cap/day, which was within the range of most of Ethiopian urban areas. On the other hand, the total daily and annual MSW generation was found to be 79.58 and 29,047 tonnes, respectively. Moreover, the study's findings revealed that 20.8 % of the solid waste was found was recyclable and the remaining 79.20 % was non-recyclable. Considering the future trend of waste generation, 19 ha of land in the city's Northern and Southern outskirts was chosen as a candidate landfill site with all the necessary suitability analysis. Therefore, optimized landfill site selection and better management system of MSW in urban and peri-urban areas could be achieved by the conjunctive application of MCDA and GIS.

QGIS-based weighted linear combination plugin for landfill site selection: a case study in Tokat Province, Turkey.

Proper disposal of solid waste is crucial for the protection of natural resources and human health. However, increasing population and changes in consumption habits have led to a global increase in solid waste production. Therefore, a site selection process for solid waste management that takes into account environmental, economic, and social factors is needed. The number of open-source GIS (geographic information system) software programs used in site selection analysis is increasing day by day. QGIS software is an open-source GIS software developed by free software developers, with its popularity increasing with each new version and allowing for the development of plugins with the Python programming language. The shareability of plugins developed with QGIS software brings together open-source GIS users around the world for common goals. In this study, a plugin called "LANDFILL SITE SELECTION (LFSS)" was developed in the QGIS software environment for solid waste landfill site selection and a suitability map was created for solid waste landfill site selection in Tokat, Turkey, using this plugin. For this purpose, 14 evaluation criteria and 8 exclusion criteria were selected, the importance levels of criteria and sub-criteria were determined using the AHP method, and a solid waste landfill site selection suitability map was created using the developed plugin.

On the selection of landfill sites in the conditions of the Jurassic and Paleozoic deposits of the West Siberian oil and gas province

Based on the Jurassic and Paleozoic deposits of the West Siberian oil and gas province grouping using factor analysis techniques, a number of algorithms are proposed to justify the choice of landfill sites for the introduction of new technologies for influencing the bottom-hole formation zone and reservoir to increase the degree of reserves development and the profitability of enterprises. The selection is proposed to be carried out separately within the oil and gas bearing areas, tectonic and stratigraphic elements using a set of parameters reflecting the geological and physical properties of formations and fluids that have a predominant effect on the process of oil recovery. The presented algorithms make it possible to reduce risks when replicating successful innovative technologies while simultaneously expanding the areas of effective application. Keywords: landfill sites; oil production technologies; identification; analogous deposits; degree of reserves development.

Landfill site selection in a mining dominated area using a fuzzy AHP and DRASTIC vulnerability based multicriteria decision analysis: a case study of Dhanbad, India.

Landfilling is the least preferred method in the hierarchy of solid waste management options, but it is the most widely practiced option. Thus, identification of environmentally and economically suitable landfill sites should be of prime importance. The main objective of this study is to identify environmentally and economically suitable landfill sites using fuzzy analytical hierarchy process-based weighted linear combination model within a GIS environment. This study also used the DRASTIC-based groundwater vulnerability index and distance of landfills from densely populated areas to protect groundwater and reduce cost of transportation of solid waste which were not considered by the previous studies. Using the previously reported methods, a total of 132 landfill sites were found environmentally suitable in the study area. But, after applying DRASTIC-based groundwater vulnerability index, the number of environmentally suitable sites reduced to 95. When the proximity of the 95 sites to densely populated areas was considered to reduce waste transportation cost, the number of selected sites further reduced to 21 site and they can be considered the most environmentally and economically suitable landfill sites. This study will help the policy makers and the concerned SWM authorities to construct the engineered landfills at environmentally and economically suitable landfill sites in the study area and in other similar areas.