Use of multivariate statistical techniques to determine the source apportionment of heavy metals in soils and sediments

Heavy Metals in the Environment ◽

10.1016/b978-0-12-821656-9.00007-9 ◽

2021 ◽

pp. 119-141

Author(s):

Biljana Balabanova ◽

Trajče Stafilov ◽

Robert Šajn

Keyword(s):

Heavy Metals ◽

Source Apportionment ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Soils And Sediments ◽

Heavy Metals In Soils

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Spatial characterization of dissolved trace elements and heavy metals in the upper Han River (China) using multivariate statistical techniques

Journal of Hazardous Materials ◽

10.1016/j.jhazmat.2009.11.069 ◽

2010 ◽

Vol 176 (1-3) ◽

pp. 579-588 ◽

Author(s):

Siyue Li ◽

Quanfa Zhang

Keyword(s):

Heavy Metals ◽

Trace Elements ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Spatial Characterization ◽

Han River ◽

Dissolved Trace Elements

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Assessment of heavy metals pollution in surface and groundwater systems in Oued Righ region (Algeria) using pollution indices and multivariate statistical techniques

African Journal of Aquatic Science ◽

10.2989/16085914.2019.1703635 ◽

2020 ◽

Vol 45 (3) ◽

pp. 269-284

Author(s):

ML Benhaddya ◽

Y Halis ◽

B Hamdi-Aïssa

Keyword(s):

Heavy Metals ◽

Statistical Techniques ◽

Pollution Indices ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Metals Pollution ◽

Groundwater Systems ◽

Heavy Metals Pollution ◽

Surface And Groundwater

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Heavy Metals and Water Quality Assessment Using Multivariate Statistical Techniques and Water Quality Index of the Semenyih River, Peninsular Malaysia

Iranica Journal of Energy & Environment ◽

10.5829/idosi.ijee.2014.05.02.04 ◽

2014 ◽

Vol 5 (2) ◽

Author(s):

Fawaz Al-Badaii

Keyword(s):

Heavy Metals ◽

Water Quality ◽

Quality Assessment ◽

Water Quality Index ◽

Quality Index ◽

Water Quality Assessment ◽

Peninsular Malaysia ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical

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Estimation of spatial distribution of heavy metals in groundwater using interpolation methods and multivariate statistical techniques; its suitability for drinking and irrigation purposes in the Middle Black Sea Region of Turkey

Environmental Monitoring and Assessment ◽

10.1007/s10661-015-4725-x ◽

2015 ◽

Vol 187 (8) ◽

Author(s):

Hakan Arslan ◽

Nazlı Ayyildiz Turan

Keyword(s):

Heavy Metals ◽

Spatial Distribution ◽

Black Sea ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Black Sea Region ◽

Interpolation Methods ◽

Drinking And Irrigation

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Heavy metals fractionation and multivariate statistical techniques to evaluate the environmental risk in soils of Huelva Township (SW Iberian Peninsula)

Journal of Geochemical Exploration ◽

10.1016/j.gexplo.2012.06.009 ◽

2012 ◽

Vol 119-120 ◽

pp. 32-43 ◽

Author(s):

Marco Tulio Guillén ◽

Joaquín Delgado ◽

Stefano Albanese ◽

José Miguel Nieto ◽

Annamaria Lima ◽

...

Keyword(s):

Heavy Metals ◽

Iberian Peninsula ◽

Environmental Risk ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical

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Spatio-temporal patterns and source apportionment of pollution in Qiantang River (China) using neural-based modeling and multivariate statistical techniques

Physics and Chemistry of the Earth Parts A/B/C ◽

10.1016/j.pce.2010.03.021 ◽

2011 ◽

Vol 36 (9-11) ◽

pp. 379-386 ◽

Author(s):

Shiliang Su ◽

Junjun Zhi ◽

Liping Lou ◽

Fang Huang ◽

Xia Chen ◽

...

Keyword(s):

Source Apportionment ◽

Temporal Patterns ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Qiantang River ◽

Spatio Temporal

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Assessment of arsenic health risk and source apportionment of groundwater pollutants using multivariate statistical techniques in Chapai-Nawabganj district, Bangladesh

Journal of the Geological Society of India ◽

10.1007/s12594-017-0705-9 ◽

2017 ◽

Vol 90 (2) ◽

pp. 239-248 ◽

Author(s):

A. R. M. Towfiqul Islam ◽

Shuang-He Shen ◽

Md. Bodrud-Doza

Keyword(s):

Health Risk ◽

Source Apportionment ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Groundwater Pollutants

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Spatial variation and source apportionment of surface water pollution in the Tuo River, China, using multivariate statistical techniques

Environmental Monitoring and Assessment ◽

10.1007/s10661-020-08706-3 ◽

2020 ◽

Vol 192 (12) ◽

Author(s):

Dong Fu ◽

Xuefei Wu ◽

Yongcan Chen ◽

Zhenyan Yi

Keyword(s):

Water Pollution ◽

Surface Water ◽

Spatial Variation ◽

Source Apportionment ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Surface Water Pollution

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Heavy metals in soils and sediments from Dongting Lake in China: occurrence, sources, and spatial distribution by multivariate statistical analysis

Environmental Science and Pollution Research ◽

10.1007/s11356-018-1590-5 ◽

2018 ◽

Vol 25 (14) ◽

pp. 13687-13696 ◽

Author(s):

Yaxin Zhang ◽

Ye Tian ◽

Maocai Shen ◽

Guangming Zeng

Keyword(s):

Heavy Metals ◽

Spatial Distribution ◽

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Dongting Lake ◽

Multivariate Statistical ◽

Soils And Sediments ◽

Heavy Metals In Soils

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Source apportionment of groundwater pollution in a city’s eastern part using multivariate statistical techniques

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/59/1/012033 ◽

2017 ◽

Vol 59 ◽

pp. 012033

Author(s):

Peng Jiang ◽

Zhenmin Ma ◽

Ming Wen

Keyword(s):

Source Apportionment ◽

Groundwater Pollution ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical

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