A hybrid method for assessment of soil pollutants spatial distribution

Tarasov, Dmitry; Медведев, А. Н.; Sergeev, Alexander; Shichkin, Andrey; Buevich, Alexander

doi:10.1063/1.4992212

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…Likewise, the sources of pollution are almost countless: solid waste, E-waste, nitrogen, heavy metals, radioactive materials, acid or alkali materials, explosives, military weapons, herbicides, pesticides, hydrocarbons, perchlorate, medical waste, non-recyclable waste, nanoparticles, etc. (Tarasov et al, 2017).…”

Section: Lithosphere Pollution: Soil Pollutionmentioning

confidence: 99%

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A typology of sources, manifestations, and implications of environmental degradation

Yeganeh

2020

MEQ

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Purpose The purpose of this paper is to conceptualize and classify sources, manifestations and implications of environmental degradation. Design/methodology/approach First, the typological analysis is used to conceptualize environmental degradation and its components. Then, the concepts are disaggregated into some dimensions organized in row-and-column variables and a cross-tabulated matrix is constructed. Finally, different types of environmental degradation are identified, labeled and discussed. Findings The study distinguishes between two types of degradation as pollution and deterioration and accordingly identifies ten types (five pairs) of environmental degradation. Furthermore, the paper presents a conceptual framework and offers insights into the dynamic interchange between the causes and effects of environmental degradation. Originality/value The originality/value of this study resides in reducing the ambiguities associated with the concept of environmental degradation and offering a multidimensional framework that can be used in empirical research to organize propositions, test hypotheses, analyze data and construct indexes.

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Section: Lithosphere Pollution: Soil Pollutionmentioning

confidence: 99%

“…Agriculture uses huge amounts of chemicals like fertilizers and pesticides that constantly pollute the soil. Pesticides are toxic materials that not only harm the soil, but also directly hurt humans, animals and plants (Tarasov et al, 2017).…”

Section: Lithosphere Pollution: Soil Pollutionmentioning

confidence: 99%

A typology of sources, manifestations, and implications of environmental degradation

Yeganeh

2020

MEQ

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“…These methods are widely used to assess the spatial variability in sediment and soil properties. Several studies have used Artificial Intelligence methods to assess soil, sediment or water quality parameters [ [21] , [22] , [23] , [24] , [25] ]. Multivariable adaptive regression spline (MARS) and least square-support vector machine (LS-SVM) were used to predict indices of the five-day biochemical demand (BOD5) and chemical oxygen demand (COD) in water [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

“…Random Forest (RF) was used to assess the spatial distribution of arsenic in a contaminated site, identify sources of contamination and predict spatial variations of heavy metals in soils and some properties of soils [ 28 , 31 , 32 ]. Other studies have used artificial neural network (ANN) to assess soil, sediment contamination [ 21 , 22 , [33] , [34] , [35] ]. ANN is a type of artificial intelligence (computer system) that attempts to mimic the way the human brain processes and stores information.…”

Section: Introductionmentioning

confidence: 99%

A coupled geostatistical and machine learning approach to address spatial prediction of trace metals and pollution indices in sediments of the abandoned gold mining site of Bekao, Adamawa, Cameroon

Abende Sayom,

Mfenjou,

Ayiwouo Ngounouno

et al. 2023

Heliyon

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“…Many research projects have made use of this technique. The literature in this area includes analyses of soil properties [7] or its contaminants [8] and territorial life cycle assessment, which is a methodological framework for the environmental assessment of territories [9].…”

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confidence: 99%

Environmental Differences between Two Neighboring Regions of Southern Spain

Huete-Morales¹,

Quesada-Rubio²,

Rosales-Moreno³

et al. 2018

Pol. J. Environ. Stud.

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Significant differences in climate and land use between adjacent or neighbouring areas are relatively common and may have many causes, but geographic factors are especially important [1]. In studying these causes, we must compare the different variables that may interact to produce unique climates and ecosystems. Such variables include latitude, altitude, relief, sunshine, rainfall, humidity, temperature, and proximity to water bodies, and can produce a characteristic landscape. The rural abandonment, associated with demographic and economic changes also produce changes in the soil surface [2]. A natural region is an area bound by criteria of physical geography, mainly those related to relief, but also to climate, hydrography, vegetation, soil, and others [3]. Physical factors allow us to consider the natural region as a homogeneous and individual area. In Spain, the study of natural regions began in the mid-20th century [4]. Orographic regions are determined by

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A hybrid method for assessment of soil pollutants spatial distribution

Cited by 6 publications

References 9 publications

A typology of sources, manifestations, and implications of environmental degradation

A typology of sources, manifestations, and implications of environmental degradation

A coupled geostatistical and machine learning approach to address spatial prediction of trace metals and pollution indices in sediments of the abandoned gold mining site of Bekao, Adamawa, Cameroon

Environmental Differences between Two Neighboring Regions of Southern Spain

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