Allocation of sanitary landfill in consortium: strategy for the Brazilian municipalities in the State of Amazonas

Pavani, Ismael Damasceno; Cicerelli, Rejane Ennes; Almeida, Tati de; Moura, Leonardo Zandonadi; Contreras, Francisco

doi:10.1007/s10661-018-7146-9

Cited by 13 publications

(5 citation statements)

References 24 publications

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“…Only 13% of the municipalities in the Brazilian amazon have their MSW disposed in sanitary landfills [4]. therefore, the creation of inter-municipal Consortium reached a consensus of 77% of the specialists, as a way to make possible the installation and operation of more sanitary landfills in the amazon and, thus, to optimize the final disposition and economic sustainability of the associated municipalities, due to the possibility of apportioning the costs involved in the administration and operation, optimizing financial resources and investment in technologies of environmental control and leachate treatment [27]. in addition, the landfill is the least costly alternative to any other technology option for MSW treatment, such as recycling, incineration and bio-methanization [21], [24].…”

Section: Msw Management Strategies In the Amazon: Experts' Perspectivementioning

confidence: 99%

Integrated Municipal and Solid Waste Management in the amazon: addressing barriers and challenges in using the Delphi Method

Oliveira¹,

Medeiros²,

Paes³

et al. 2021

Int. J. EI

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the amazon is facing challenges for solid waste management, due to its social, environmental and economic vulnerabilities. the main goal of this research was to investigate barriers of integrated municipal solid waste (MSW) management for the amazon, applying the delphi method. a consultation with waste management experts allowed raising the main alternatives recommended for that geographical region. in addition, in loco surveys evaluated the MSW management of three cities from Southwest Brazilian amazon (SWBraM): Humaitá and Manicoré, in the state of amazonas (aM), and ariquemes, in the state of rondônia (rO), Brazil. a total of 35 experts responded to the consultation, and there was unanimity that the prevention of solid waste generation should be encouraged in the amazon. there was a consensus on the treatment of MSW in the amazon: composting of organic waste (88%) and recycling of dry waste (86%), in addition to the disposal of MSW in landfills (83%). the municipalities of Humaitá and Manicoré collect and dispose MSW in dumps. However, in Manicoré, there is a recyclable Material Collectors Cooperative that diverts about 3.0 t month-1 of recyclable waste from the dump. ariquemes disposes its MSW in the only sanitary landfill of SWBraM, which receives about 135 t day-1 of the MSW generated in the 14 municipalities that form an inter-municipal Consortium. the main challenges raised for the MSW management in the amazon were as follows: investments in preventing MSW generation; supporting the creation of Cooperatives and the social inclusion of waste collectors; improving and integrating the river and road modals; creating conditions for the commerce of materials in Manaus recycling market; and supporting the creation of inter-municipal Consortium for landfill construction and operation.

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Section: Msw Management Strategies In the Amazon: Experts' Perspectivementioning

confidence: 99%

Integrated Municipal and Solid Waste Management in the amazon: addressing barriers and challenges in using the Delphi Method

Oliveira¹,

Medeiros²,

Paes³

et al. 2021

Int. J. EI

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“…The determination of a suitable MCDM method is thus not an easy task and the focus should be on careful selection of the method [34]. The literature presents several practical applications of comparative analyses of different MCDM methods [11,12,[38][39][40][41][42][43][44][45][46]. In this study, we used WSM and AHP to determine suitable locations for dams.…”

Section: Suitable Dam Site Selection Modelmentioning

confidence: 99%

GIS-Based Modeling for Selection of Dam Sites in the Kurdistan Region, Iraq

Othman¹,

Al-Maamar²,

Ali

et al. 2020

IJGI

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Iraq, a country in the Middle East, has suffered severe drought events in the past two decades due to a significant decrease in annual precipitation. Water storage by building dams can mitigate drought impacts and assure water supply. This study was designed to identify suitable sites to build new dams within the Al-Khabur River Basin (KhRB). Both the fuzzy analytic hierarchy process (AHP) and the weighted sum method (WSM) were used and compared to select suitable dam sites. A total of 14 layers were used as input dataset (i.e., lithology, tectonic zones, distance to active faults, distance to lineaments, soil type, land cover, hypsometry, slope gradient, average precipitation, stream width, Curve Number Grid, distance to major roads, distance to towns and cities, and distance to villages). Landsat-8/Operational Land Imager (OLI) and QuickBird optical images were used in the study. Three types of accuracies were tested: overall, suitable pixels by number, and suitable pixels by weight. Based on these criteria, we determined that 11 sites are suitable for locating dams for runoff harvesting. Results were compared to the location of 21 preselected dams proposed by the Ministry of Agricultural and Water Resources (MAWR). Three of these dam sites coincide with those proposed by the MAWR. The overall accuracies of the 11 dams ranged between 76.2% and 91.8%. The two most suitable dam sites are located in the center of the study area, with favorable geology, adequate storage capacity, and in close proximity to the population centers. Of the two selection methods, the AHP method performed better as its overall accuracy is greater than that of the WSM. We argue that when stream discharge data are not available, use of high spatial resolution QuickBird imageries to determine stream width for discharge estimation is acceptable and can be used for preliminary dam site selection. The study offers a valuable and relatively inexpensive tool to decision-makers for eliminating sites having severe limitations (less suitable sites) and focusing on those with the least restriction (more suitable sites) for dam construction.

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“…The definition of a suitable MCDM approach is thus not a simple task, and the focus should be on the precise determination of the approach [95]. Available papers show huge practical applications of comparative analyses of various MCDM approaches [9,[11][12][13][14][15][16][17][18]99]. We employed five methods to distinguish suitable locations for MSW LFSs.…”

Section: Suitable Landfill Site Selection Modelmentioning

confidence: 99%

Insights for Landfill Site Selection Using GIS: A Case Study in the Tanjero River Basin, Kurdistan Region, Iraq

et al. 2021

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The increasing world population and the growing quantity of solid waste have become a challenging problem facing governments and policy makers because of the scarcity of suitable sites for new landfills and the negative perception of these sites by the people. This study aims to evaluate the performance of different Multi-Criteria Decision-Analysis (MCDA) approaches using remote sensing and Geographic Information System (GIS) data for identifying suitable landfill sites (LFSs). We evaluated the methodologies used by various investigators and selected appropriate ones as suitable sites for Municipal Solid Waste (MSW) landfill in the Tanjero River Basin (TRB) in the Iraqi Kurdistan region. We applied Boolean Overlay (BO), Weighted Sum Method (WSM), Weighted Product Method (WPM), Analytic Hierarchy Process (AHP), and Technique for Order Performance by Similarity to an Ideal Solution (TOPSIS) to allow combined use of 15 thematic layers as predictive factors (PFs). In this study, we applied the Topographic Position Index (TPI) for the first time to select MSW LFSs. Almost all methods showed reliable results and we identified eight suitable sites situated in the western part of the TRB having total area of ~18.35 km2. The best accuracy was achieved using the AHP approach. This paper emphasizes that the approach of the used method is useful for selecting LFSs in other areas, which are located in similar environments.

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Allocation of sanitary landfill in consortium: strategy for the Brazilian municipalities in the State of Amazonas

Cited by 13 publications

References 24 publications

Integrated Municipal and Solid Waste Management in the amazon: addressing barriers and challenges in using the Delphi Method

Integrated Municipal and Solid Waste Management in the amazon: addressing barriers and challenges in using the Delphi Method

GIS-Based Modeling for Selection of Dam Sites in the Kurdistan Region, Iraq

Insights for Landfill Site Selection Using GIS: A Case Study in the Tanjero River Basin, Kurdistan Region, Iraq

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