scholarly journals Analysis of the accumulation and distribution of heavy metals in the soil cover of Samara and Syzran

2019 ◽  
Vol 8 (4) ◽  
pp. 28-33
Author(s):  
Sergey Vyacheslavovich Bugrov ◽  
Yulia Vladimirovna Makarova ◽  
Nataliya Vladimirovna Prokhorova ◽  
Igor Artemyevich Platonov ◽  
Maksim Glebovich Goryunov
Keyword(s):  
Heavy Metals ◽  
Principal Component Analysis ◽  
Organic Carbon ◽  
Analysis Of Variance ◽  
Soil Cover ◽  
Total Concentration ◽  
Principal Component ◽  
Component Analysis ◽  
Organic Carbon Content ◽  
Industrial Enterprises

The paper presents the results of a statistical analysis of the data on the accumulation and distribution of a number of heavy metals (Cr, Ni, Cu, Pb, Cd, Zn) in the soils of the cities of Samara and Syzran in the Samara Region, carried out using the Spearmans rank correlation coefficient, the Kruskal-Wallis one-way analysis of variance and principal component analysis. The authors show that the soils of Samara are more susceptible to the accumulation of Cr, Ni, Cu and Cd than the soils of Syzran. Higher gross concentrations of metals are observed in the functional zones of the cities characterized by increased technogenic load - near industrial enterprises and along railways. The fixation of metals in the upper humus horizon is facilitated by the organic matter of the soil. The exception is Pb, whose total concentration does not depend on the type of functional zone and the content of organic carbon. The Kruskal-Wallis one-way analysis of variance made it possible to establish the presence of a statistically significant relationship between the mechanical composition of the soil and the gross concentrations of Cr and Ni, the content of which increases in soils of heavier texture. According to the principal component analysis, natural and technogenic sources of metals have a decisive influence on the content and distribution of heavy metals in the soil cover of the cities; soil characteristics (mechanical composition, actual acidity of the soil solution, organic carbon content) and the intensity of exposure to sources of heavy metals play a less significant role.

scholarly journals Assessment of heavy metals in soils of a vineyard region with the use of principal component analysis

2009 ◽  
Vol 66 (3) ◽  
pp. 361-367 ◽  
Author(s):  
Gustavo Souza Valladares ◽  
Otávio Antônio de Camargo ◽  
José Ruy Porto de Carvalho ◽  
Alessandra Maria Cia Silva
Keyword(s):  
Heavy Metals ◽  
Principal Component Analysis ◽  
Agricultural Soils ◽  
Principal Component ◽  
Component Analysis ◽  
Soil Samples ◽  
Metal Concentrations ◽  
Zn Content ◽  
Heavy Metals In Soils ◽  
Cu And Zn

Agricultural management with chemicals may contaminate the soil with heavy metals. The objective of this study was to apply Principal Component Analysis and geoprocessing techniques to identify the origin of the metals Cu, Fe, Mn, Zn, Ni, Pb, Cr and Cd as potential contaminants of agricultural soils. The study was developed in an area of vineyard cultivation in the State of São Paulo, Brazil. Soil samples were collected and GPS located under different uses and coverings. The metal concentrations in the soils were determined using the DTPA method. The Cu and Zn content was considered high in most of the samples, and was larger in the areas cultivated with vineyards that had been under the application of fungicides for several decades. The concentrations of Cu and Zn were correlated. The geoprocessing techniques and the Principal Component Analysis confirmed the enrichment of the soil with Cu and Zn because of the use and management of the vineyards with chemicals in the preceding decades.

scholarly journals Assessment of Physicochemical Properties of Tequila Brands: Authentication and Quality

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Alejandra Carreon-Alvarez ◽  
Amaury Suárez-Gómez ◽  
Florentina Zurita ◽  
Sergio Gómez-Salazar ◽  
J. Felix Armando Soltero ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Refractive Index ◽  
Physicochemical Properties ◽  
Analysis Of Variance ◽  
Principal Component ◽  
Component Analysis ◽  
Total Variability ◽  
And Cluster Analysis ◽  
Physicochemical Data

Several physicochemical properties were measured in commercial tequila brands: conductivity, density, pH, sound velocity, viscosity, and refractive index. Physicochemical data were analyzed by Principal Component Analysis (PCA), cluster analysis, and the one-way analysis of variance to identify the quality and authenticity of tequila brands. According to the Principal Component Analysis, the existence of 3 main components was identified, explaining the 87.76% of the total variability of physicochemical measurements. In general, all tequila brands appeared together in the plane of the first two principal components. In the cluster analysis, four groups showing similar characteristics were identified. In particular, one of the clusters contains some tequila brands that are not identified by the Regulatory Council of Tequila and do not meet the quality requirements established in the Mexican Official Standard 006. These tequila brands are characterized by having higher conductivity and density and lower viscosity and refractive index, determined by one-way analysis of variance. Therefore, these economical measurements, PCA, and cluster analysis can be used to determinate the authenticity of a tequila brand.

scholarly journals Heavy Metals and Sulphur in Needles of Pinus sylvestris L. and Soil in the Forests of City Agglomeration

Forests ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1310
Author(s):  
Anna Figas ◽  
Anetta Siwik-Ziomek ◽  
Mirosław Kobierski
Keyword(s):  
Heavy Metals ◽  
Principal Component Analysis ◽  
Surface Layer ◽  
Organic Carbon ◽  
Pinus Sylvestris ◽  
Scots Pine ◽  
Principal Components ◽  
Principal Component ◽  
Total Change ◽  
Phytotoxic Effect

The content of sulphur and copper (Cu), iron (Fe), manganese (Mn), zinc (Zn) and of assimilation pigments in the needles of Scots pine (Pinus sylvestris L.) in the forests of Bydgoszcz, Poland was determined. The content of those metals and the activity of dehydrogenases (DHA) in the rhizosphere of the trees was assayed. The average total sulphur (TS) content in 2-year-old pine needles was 832.4 mg kg−1 d.w. No significant correlation was found between TS and Cu, Fe, Mn and Zn in needles and the content of assimilation pigments indicating no phytotoxic effect of sulphur dioxide (SO2) and metals on Scots pine. The content of metals in the needles pointed to an inconsiderable degree of human impact. The soils in the surface layer were not contaminated with heavy metals. With the principal component analysis (PCA) two principal components were identified which accounted for 68% of the total change in variation. The variables that determined the principal components were the soil content of organic carbon (TOC), total nitrogen (TN), TS and sulphates (SO42−), the soil content of Mn, Zn, available forms to plants of Cu, Mn, and the content of Cu, Fe in needles.

scholarly journals Principal Component Analysis on Soil Fertility Parameters of Vegetable Growing Panchayats/ Locations in Ernakulam District of Kerala

2020 ◽  
pp. 58-65
Author(s):  
A. Muhsina ◽  
Brigit Joseph ◽  
Vijayaraghava Kumar
Keyword(s):  
Principal Component Analysis ◽  
Soil Fertility ◽  
Soil Ph ◽  
Principal Component ◽  
Component Analysis ◽  
Organic Carbon Content ◽  
Score Plot ◽  
Five Factors ◽  
Total Variability ◽  
High Level

The present paper used Principal Component Analysis (PCA) on 13 soil fertility parameters including soil pH and electrical conductivity of 17 vegetable growing panchyat/locations in Ernakulam district of Kerala based on 583 soil samples. Soil pH of panchayats varied from 4.2- 5.8 with a coefficient of variation 3.16-12.23 per cent and it was inferred that most of the panchayats in the district had very strongly acidic (pH: 4.2-5) and strongly acidic soils (pH: 5-5.5). High level of organic carbon content was noticed in most of the panchayats except in four panchayats. The results of PCA revealed that five PC’s together explained a total variability of 80 per cent and the remaining PCs accounted for 20 per cent of the variability in the data which has been discarded from further analysis. First principal component accounted for 25 per cent variance followed by PC 2(21%), PC 3(14%), PC 4(10%) and PC 5(10%). Factor analysis generated five factors and they explained 85 per cent of variability. Score plot drawn as part of PCA showed that Chengamanadu, Manjapra and Thirumaradi panchayats had high content of soil available S and B. EC was also found to be higher in these panchayats. Amount of OC, Fe and Mn were more in Kalady, Keerampara and Mudakkuzha of Ernakulam district whereas Thuravur, Piravom and Pothanikkad had highly acidic and Mg rich soils. Amount of Zn was more in Vengoor panchayat. Available K, Ca, P and Cu were found to be higher in Kakkad, Nedumbassery, Vengola and Kadungalloor. Based on the fertility status of each panchayats, they could be classified into different groups.

Association of PAHs, PCBs, 137Cs, and 210Pb with clay, silt, and organic carbon in sediments

1996 ◽  
Vol 34 (7-8) ◽  
pp. 29-35 ◽  
Author(s):  
I. A. Ab Razak ◽  
A. Li ◽  
E. R. Christensen
Keyword(s):  
Principal Component Analysis ◽  
Gas Chromatography ◽  
Organic Carbon ◽  
Electron Capture ◽  
Principal Component ◽  
Component Analysis ◽  
Loss On Ignition ◽  
Organic Fraction ◽  
Standard Techniques

The association of PAHs, PCBs, 137Cs, and 210Pb with various components of sediments, i.e., clay, silt, and organic carbon is determined. The work is based on the data from 6 deep (2-3 m) vibra cores collected from a stretch of the Kinnickinnic River running through Milwaukee, Wisconsin, USA. Priority organics were determined by extraction, clean-up, and gas chromatography with either a mass selective (PAHs) or an electron capture (PCBs) detector. Loss on ignition, porosity, and radionuclide analyses were carried out by standard techniques, and the association of the variables was investigated by principal component analysis. The results indicate that PAHs are associated with organic carbon, porosity and silt. Both 137Cs and PCBs are associated with clay but not with organic carbon. 210Pb is mainly associated with the organic fraction, but covaries also to some extent with clay.

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