Keyword multivariate statistical techniques
 
ORIGINAL RESEARCH

Assessing Surface Water Quality in the Serbian Part of the Tisa River Basin
Goran Babić, Milovan Vuković, Danijela Voza, Ljiljana Takić, Ivana Mladenović-Ranisavljević
Pol. J. Environ. Stud. 2019;28(6):4073–4085
DOI: https://doi.org/10.15244/pjoes/95184
 
Abstract
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ORIGINAL RESEARCH

Evaluation of Surface Water Quality on Spatiotemporal Gradient Using Multivariate Statistical Techniques: A Case Study of River Chenab, Pakistan
Firdaus Kausar, Abdul Qadir, Sajid Rashid Ahmad, Mujtaba Baqar
Pol. J. Environ. Stud. 2019;28(4):2645–2657
DOI: https://doi.org/10.15244/pjoes/92938
 
Abstract
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ORIGINAL RESEARCH

Heavy Metal Transport in a River-Reservoir System: a Case Study from Central Poland
Mariusz Sojka, Marcin Siepak, Joanna Jaskuła, Joanna Wicher-Dysarz
Pol. J. Environ. Stud. 2018;27(4):1725–1734
DOI: https://doi.org/10.15244/pjoes/76916
 
Abstract
Article (PDF)
 
ORIGINAL RESEARCH

Source Identification of Heavy Metals in Particulate Matter (PM10) in a Malaysian Traffic Area Using Multivariate Techniques
Rasheida E. Elhadi1, Ahmad Makmom Abdullah1, Abdul Halim Abdullah2, Zulfa Hanan Ash’aari1, Nura Umar Kura1, Gumel D.Y.1, Abdullahi Adamu1
Pol. J. Environ. Stud. 2017;26(6):2523–2532
DOI: https://doi.org/10.15244/pjoes/69941
 
Abstract
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ORIGINAL RESEARCH

Drinking Water Quality of a Rice Land in Turkey by Statistical and GIS Perspectives
Cem Tokatli
Pol. J. Environ. Stud. 2014;23(6):2247–2258
DOI: https://doi.org/10.15244/pjoes/26967
 
Abstract
Article (PDF)
 
ORIGINAL RESEARCH

Groundwater Quality of Türkmen Mountain, Turkey
Cem Tokatli1, Esengül Köse2, Arzu Çiçek3
Pol. J. Environ. Stud. 2013;22(4):1197–1208
 
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