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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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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Statistical and multivariate statistical techniques to trace the sources and affecting factors of groundwater pollution in a rapidly growing city on the Chinese Loess Plateau

Human and Ecological Risk Assessment An International Journal ◽

10.1080/10807039.2019.1594156 ◽

2019 ◽

Vol 26 (6) ◽

pp. 1603-1621 ◽

Author(s):

Jianhua Wu ◽

Peiyue Li ◽

Dan Wang ◽

Xiaofei Ren ◽

Miaojun Wei

Keyword(s):

Loess Plateau ◽

Groundwater Pollution ◽

Chinese Loess Plateau ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Affecting Factors ◽

Multivariate Statistical ◽

Chinese Loess ◽

The Chinese Loess Plateau

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Assessing the hydrogeochemical processes affecting groundwater pollution in arid areas using an integration of geochemical equilibrium and multivariate statistical techniques

Environmental Pollution ◽

10.1016/j.envpol.2017.05.052 ◽

2017 ◽

Vol 229 ◽

pp. 760-770 ◽

Author(s):

Mohamed El Alfy ◽

Aref Lashin ◽

Fathy Abdalla ◽

Abdulaziz Al-Bassam

Keyword(s):

Groundwater Pollution ◽

Hydrogeochemical Processes ◽

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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Source analysis and health risk assessment of groundwater pollution based on multivariate statistical techniques in Kashgar Delta Area, Xinjiang, China

Environmental Monitoring and Assessment ◽

10.1007/s10661-021-09517-w ◽

2021 ◽

Vol 193 (12) ◽

Author(s):

Dong Yu ◽

Jinlong Zhou ◽

Ailihamu Aikelamu ◽

Wei Fan ◽

Yanyan Zeng ◽

...

Keyword(s):

Risk Assessment ◽

Health Risk ◽

Health Risk Assessment ◽

Groundwater Pollution ◽

Source Analysis ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

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Arsenic health risk assessment in drinking water and source apportionment using multivariate statistical techniques in Kohistan region, northern Pakistan

Food and Chemical Toxicology ◽

10.1016/j.fct.2010.07.018 ◽

2010 ◽

Vol 48 (10) ◽

pp. 2855-2864 ◽

Author(s):

Said Muhammad ◽

M. Tahir Shah ◽

Sardar Khan

Keyword(s):

Risk Assessment ◽

Drinking Water ◽

Health Risk ◽

Source Apportionment ◽

Health Risk Assessment ◽

Statistical Techniques ◽

Northern Pakistan ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical

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Classification of Chemical and Biological Warfare Agent Simulants by Surface-Enhanced Raman Spectroscopy and Multivariate Statistical Techniques

Applied Spectroscopy ◽

10.1366/000370206776593744 ◽

2006 ◽

Vol 60 (4) ◽

pp. 356-365 ◽

Author(s):

William F. Pearman ◽

Augustus W. Fountain

Keyword(s):

Raman Spectroscopy ◽

Surface Enhanced Raman Spectroscopy ◽

Statistical Techniques ◽

Biological Warfare ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Biological Warfare Agent ◽

Surface Enhanced ◽

Surface Enhanced Raman

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Assessment of lake water quality using multivariate statistical techniques and chlorophyll-nutrient relationships: a case study of the Göksu Lake

Arabian Journal of Geosciences ◽

10.1007/s12517-021-06871-4 ◽

2021 ◽

Vol 14 (6) ◽

Author(s):

Ayla Bilgin ◽

Hatice Dündar Bayraktar

Keyword(s):

Water Quality ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Lake Water Quality ◽

Multivariate Statistical

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