scholarly journals Assessment of Soil Heavy Metal Pollution with Principal Component Analysis and Geoaccumulation Index

2011 ◽  
Vol 10 ◽  
pp. 1946-1952 ◽  
Author(s):  
Wei Zhiyuan ◽  
Wang Dengfeng ◽  
Zhou Huiping ◽  
Qi Zhiping
Keyword(s):  
Heavy Metal ◽  
Principal Component Analysis ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Geoaccumulation Index ◽  
Principal Component ◽  
Component Analysis ◽  
Soil Heavy Metal

scholarly journals Analysis and Source Identification of Heavy Metals in Soils of Central Urban Area of Chongqing, China

2021 ◽  
Author(s):  
Wende Chen ◽  
Kun Zhu ◽  
Yankun Cai ◽  
Peihao Peng
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Hot Spot ◽  
Central City ◽  
Principal Component ◽  
Parent Material ◽  
Soil Heavy Metal ◽  
Component Loading

Abstract In megacities, due to frequent human activities, large amounts of metals enter the soil indirectly or directly and eventually flow to people through the food chain. Therefore, the analysis and identification of soil heavy metal sources is an important part of revealing soil heavy metal pollution. The spatial content and potential sources of 11 heavy metals were analyzed from 342 surface soil samples collected from the central city of Chongqing in southwest China. The results showed that the main heavy metal elements under the first principal component loading were copper (Cu), nickel(Ni), zinc (Zn), manganese (Mn), cadmium (Cr), plumbum (Pb) and cadmium (Cd). The second principal component (F2) was mainly loaded with molybdenum (Mo), arsenic (As), mercury (Hg) and antimony (Sb), and the PCA-APCs receptor model of 11 heavy metals was constructed. The PCA-APCs receptor models of 11 heavy metals were constructed. The results of classification regression analysis confirmed the main sources of heavy metals. Population density mainly affected Cu (0.539), soil mainly affected Ni (0.411), Sb (0.493), Zn (0.472) and Mn (0.206), and water quality mainly affected As (0.453) and Mo (0.374). Air quality mainly affects Cd (0.332) and Cr (0.371), traffic activity mainly affects Hg (0.312), and slope mainly affects Pb (0.313). Hot spot analysis showed that heavy metals had a high degree of coincidence with environmental factors such as soil parent material, slope, soil type and traffic activities. The results of this study can be effectively used to make scientific decisions and strategies, and an effective strategy for prevention and control of soil heavy metal pollution should be formulated to protect the urban soil environmental quality.

Research on Material Properties and Soil Heavy Metal Pollution in Cities with Spread Evolution Model

2014 ◽  
Vol 951 ◽  
pp. 127-132
Author(s):  
Yuan Fan ◽  
Min Xing Xu ◽  
Wei Xin Lin
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Evaluation System ◽  
Principal Component ◽  
Pollution Sources ◽  
Geological Environment ◽  
Soil Heavy Metal ◽  
Metal Element ◽  
Heavy Metal Element

In this paper, mainly research the surface soil heavy metal pollution in cities. First of all ,we find out the spatial distribution of eight kinds of main metal elements in the urban; we adopt the improved gray model to establish evaluation system about urban pollution heavy metal element degree, and then to evaluate the pollution degree of heavy metal element in the city area. Eight heavy metals have been in dimension reduction by means of correlation analysis and principal component analysis, comprehensive variables can be got. By calculating the rotating component matrix, we got objective reason of metal contamination. We analyzed transmission characteristics of heavy metal pollutants and build model to determine the location of the pollution sources. We introduced the field theory the basic assumption , calculated various factors which lead to the change of one point of concentration. The differential equation model can be got which reacted geological environment evolution mode through the mass conservation. Finally we determine the location of the pollution sources and the evolution of the urban geological environment mode.

scholarly journals Analysis and Source Identification of Heavy Metals in Soils of Central Urban Area of Chongqing, China

2021 ◽  
Author(s):  
Wende CHEN ◽  
kun zhu ◽  
Yankun Cai ◽  
Peihao Peng
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Hot Spot ◽  
Central City ◽  
Principal Component ◽  
Parent Material ◽  
Soil Heavy Metal ◽  
Component Loading

Abstract In megacities, due to frequent human activities, large amounts of metals enter the soil indirectly or directly and eventually flow to people through the food chain. Therefore, the analysis and identification of soil heavy metal sources is an important part of revealing soil heavy metal pollution. The spatial content and potential sources of 11 heavy metals were analyzed from 342 surface soil samples collected from the central city of Chongqing in southwest China. The results showed that the main heavy metal elements under the first principal component loading were copper (Cu), nickel(Ni), zinc (Zn), manganese (Mn), cadmium (Cr),plumbum (Pb) and cadmium(Cd).The second principal component (F2) was mainly loaded with molybdenum (Mo), arsenic (As), mercury (Hg)and antimony (Sb), and the PCA-APCs receptor model of 11 heavy metals was constructed. The PCA-APCs receptor models of 11 heavy metals were constructed. The results of classification regression analysis confirmed the main sources of heavy metals. Population density mainly affected Cu (0.539), soil mainly affected Ni (0.411), Sb (0.493), Zn (0.472) and Mn (0.206), and water quality mainly affected As(0.453) and Mo (0.374). Air quality mainly affects Cd (0.332) and Cr (0.371), traffic activity mainly affects Hg (0.312), and slope mainly affects Pb (0.313). Hot spot analysis showed that heavy metals had a high degree of coincidence with environmental factors such as soil parent material, slope, soil type and traffic activities. The results of this study can be effectively used to make scientific decisions and strategies, and an effective strategy for prevention and control of soil heavy metal pollution should be formulated to protect the urban soil environmental quality.

Statistical Analsysis to Evaluate Heavy Metal Pollution in the Air Obatained by Moss Technique in Hanoi and its Surrounding Region

2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Statistical Analysis ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Principal Component ◽  
Multivariate Statistical ◽  
Five Factors ◽  
Heavy Metal Elements ◽  
Surrounding Areas ◽  
Potential Pollution

The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Ha Noi and its surrounding areas and to evaluate potential pollution sources. The concentrations of 33 heavy metal elements in 27 samples of Barbula Indica moss in the investigated region collected in December of 2016 in the investigated area have been examined using multivariate statistical analysis. Five factors explaining 80% of the total variance were identified and their potential sources have been discussed.

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