Modeling the environmental susceptibility of landfill sites in California

Nascimento, Victor Fernandez; Yeşiller, Nazlı; Clarke, Keith; Ometto, Jean Pierre; Andrade, Pedro R.; Sobral, Anahí Chimini

doi:10.1080/15481603.2017.1309126

Cited by 19 publications

(13 citation statements)

References 44 publications

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“…At the landscape level, various environmental stressors have been studied from the point of view of stressors. Studies in this field include environmental impacts (Nascimento et al, 2017), climatic stressors such as temperature and precipitation (Zhang et al, 2009;Knelman et al, 2019), altitude and aspects (Zhang et al, 2009;Batar et al, 2021), ecological processes such as plant invasions (Myers, 1983), and geoenvironmental stressors (Sun et al, 2019 andUlakpa et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Landscape Metrics Explain the Ecological Susceptibility of Terrestrial Ecosystems

et al. 2022

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This study examines the effects of the change in the shape of landscape patches, known as landscape structure, on ecological susceptibility, which is defined using the object-oriented method. The aim is to determine whether ecological susceptibility is influenced by the shape of the landscape patches in the southern basin of the Caspian Sea. The multivariate linear regression approach is applied to discover the extent to which the mean, median, and weighted average of the landscape structure metrics can explain the total variations of the ecological susceptibility. To determine the optimal models, an intermodel comparison is conducted using the Akaike information criterion. Sensitivity and uncertainty analyses were performed to determine how sensitive ecological susceptibility is to changes in the variables of the models and how they behave under varying conditions. The models (0.64≥r2≥0.27, p ≤ 0.05) indicate that the landscape structure metrics can be applied to predict ecological susceptibility. Examining the mean, median, and weighted average of the landscape metrics in estimating ecological susceptibility also reveals that the models made by the mean and median values have less uncertainty than those developed by the weighted average. The results show that the regularity or irregularity in the shape of the landscape patches and the degree of contiguity of the land use/land cover patches can significantly affect ecological susceptibility. Closed deciduous broad-leaf forest patches, closed mixed forest patches, and open mixed forest patches can be considered crucial land use/land covers to estimate ecological susceptibility.

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Section: Introductionmentioning

confidence: 99%

Landscape Metrics Explain the Ecological Susceptibility of Terrestrial Ecosystems

et al. 2022

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“…Although there are various strategies published in the literature, only a few of them are appropriate for site selection. Analytic Network Process (ANP) and Analytic Hierarchical Process (AHP) have the most application to solve the site selection problem, according to various research [11]- [13]. [14] developed the multi-criteria decision analysis (MCDA), which is an AHP process.…”

Section: Introductionmentioning

confidence: 99%

Solid Waste Assessment and Management Using Remote Sensing Data and GIS Tools: A Case Study of Najran City, KSA

Elkhrachy

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Municipal Solid Waste (MSW) management is a major socio-economic issue in all emerging countries. Cities have their solid waste management regulations, approach, and procedures. They believe that wastelands outside of cities are the greatest places to dispose of solid waste. Such inappropriate location will lead to morphologic changes in the urban region and its surrounding, creating health hazards. The acquisition of data about an object(s) without establishing contact with it is known as remote sensing. The geographic information system (GIS) is a spatial system that creates, maintains, analyses, and maps various kinds of data. GIS software and remote sensing data are extremely valuable for assessing and managing solid wastage. Sentinel-2 satellite images were used to obtain land cover data. Digital elevation model (DEM) from ALOS-PALSAR free data used to describe surface information. Some thematic layers, such as soil, surface slope, drainage density, airport distance, road distance, and land-use, were used as principal input data for Multi-Criteria Decision Analysis (MCDA) to choose the best solid waste locations in Najran city. According to the appropriateness degree of the landfill, locations acquired, 31% and 10.9 percent of the total area were classed as very low and low, respectively, while 25.3 % and 11.9 % were classified as high and very high suitable areas.

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“…According to [25,26], in all activities involving the MSW collection and transport operation, it is essential to consider vehicle itineraries and efficient routes to minimize the distance covered, as well as the cost and time. Hence, GIS can be regarded as an effective method for analyzing spatial data in MSW studies [27][28][29][30][31]. This technology and its different processes associated with MSW management applications are widely accepted [9].…”

Section: Introductionmentioning

confidence: 99%

Regional Distance Routes Estimation for Municipal Solid Waste Disposal, Case Study São Paulo State, Brazil

et al. 2021

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The urban population increase in the world, the economic expansion, and the rise in living standards associated with society’s habits and lifestyles accelerated the municipal solid waste (MSW) generation in undeveloped countries, such as in Brazil, in which the generation increased by 25% from 2012 to 2017. In the same period, the São Paulo state, the richest Brazilian state, increased its municipal solid waste generation by 51%. All this MSW needed to be collected and transported, and this process has a high economic and environmental cost. Therefore, this study aims to identify, using spatial analysis, the routes used by MSW trucks to estimate the distances traveled to dispose of the MSW on a regional scale considering all municipalities in the São Paulo state. The findings showed that the landfill numbers decrease, mainly individual ones, which receive MSW only from the city where it is located. Otherwise, the consortium landfills number is increasing, as well as the number of municipalities that share the same disposal site. Consequently, the distances to transport MSW from urban areas to final disposal sites increased by about 55% from 2012 to 2017, reaching 613 million kilometers during this period. This total distance is sufficient to make more than 12,806 laps on Earth and contribute to high fuel consumption and greenhouse gas emission.

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Modeling the environmental susceptibility of landfill sites in California

Cited by 19 publications

References 44 publications

Landscape Metrics Explain the Ecological Susceptibility of Terrestrial Ecosystems

Landscape Metrics Explain the Ecological Susceptibility of Terrestrial Ecosystems

Solid Waste Assessment and Management Using Remote Sensing Data and GIS Tools: A Case Study of Najran City, KSA

Regional Distance Routes Estimation for Municipal Solid Waste Disposal, Case Study São Paulo State, Brazil

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