Critical review of heavy metal pollution of traffic area runoff: Occurrence, influencing factors, and partitioning

2016 ◽  
Vol 541 ◽  
pp. 895-919 ◽  
Author(s):  
Maximilian Huber ◽  
Antje Welker ◽  
Brigitte Helmreich
Keyword(s):  
Heavy Metal ◽  
Influencing Factors ◽  
Metal Pollution ◽  
Critical Review ◽  
Heavy Metal Pollution ◽  
Traffic Area

The Rapid Detecting Technology on Heavy Metal Pollution in Soil

2014 ◽  
Vol 1073-1076 ◽  
pp. 648-652
Author(s):  
Hai Lin ◽  
Jian Cheng Kang
Keyword(s):  
Heavy Metal ◽  
Fluorescence Spectroscopy ◽  
Influencing Factors ◽  
Future Development ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Development Process ◽  
X Ray ◽  
Research Status ◽  
System Composition

This paper summarizes the system composition and development process of Portable X-ray fluorescence spectroscopy (PXRF). It also reviews the research status of PXRF in the detection of heavy metal in soils and its accuracy validating and influencing factors. The direction of future development of the technology was discussed.

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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