Evaluation of Zohreh River Water Quality, Impacted by Natural and Anthropogenic Pollution Sources, Using Multivariate Statistical Techniques

Maryam Ravanbakhsh, Yaser Tahmasebi Birgani, Yaser Tahmasebi Birgani, Maryam Dastoorpoor and Kambiz Ahmadi Angali
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Yaser Tahmasebi Birgani: Department of Environmental Health Engineering, School of Health, Ahvaz Jundishapur University of Medical Sciences, Iran
Yaser Tahmasebi Birgani: Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Iran
Maryam Dastoorpoor: Department of Medical Virology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Iran
Kambiz Ahmadi Angali: Department of Biostatistics, Ahvaz Jundishapur University of Medical Sciences, Iran

International Journal of Environmental Sciences & Natural Resources, 2019, vol. 16, issue 3, 64-73

Abstract: Discriminant analysis (DA) and principal component analysis (PCA) as a multivariate statistical technique, were applied for the evaluation of temporal and spatial variation and the interpretation of a large complex water quality data set of the Zohre river basin, monitoring 16 water quality parameters collected over 16 - 45 years (1966 - 2013), in four stations sites (1554 observations for each parameter). Principal component analysis, applied to the data sets of the four studied stations resulted in four, four, four and three latent factors explaining 78.985, 83.828, 77.648, and 77.68 % of the total variance in water quality data sets of Kheirabad, Poleflour, Chambostan and Dehmolla stations, respectively. The factors obtained from PCA analysis indicate that the parameters responsible for water quality variations are mainly related to TDS, EC, Cl, Na, SAR and %Na (natural sources included Gypsum and salt crystal are frequently grown in supratidal, intertidal zones of Zohreh delta and Chamshir faults I and II fault zone, and anthropogenic source caused by sugarcane culture withdrawals, discharging of domestic and industrial wastewaters) in all studied stations. DA provided an important data reduction as it uses only seven parameters (discharge, temperature, electrical conductivity, HCO3- , Cl, %Na and T-Hardness), affording more than 58.5% correct assignations in temporal analysis.

Keywords: earth and environment journals; environment journals; open access environment journals; peer reviewed environmental journals; open access; juniper publishers; ournal of Environmental Sciences; juniper publishers journals; juniper publishers reivew (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:adp:ijesnr:v:16:y:2019:i:3:p:64-73

DOI: 10.19080/IJESNR.2019.16.555936

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