Logo-ajehe
Submitted: 13 Oct 2019
Revision: 10 Dec 2019
Accepted: 20 Dec 2019
ePublished: 31 Dec 2019
EndNote EndNote

(Enw Format - Win & Mac)

BibTeX BibTeX

(Bib Format - Win & Mac)

Bookends Bookends

(Ris Format - Mac only)

EasyBib EasyBib

(Ris Format - Win & Mac)

Medlars Medlars

(Txt Format - Win & Mac)

Mendeley Web Mendeley Web
Mendeley Mendeley

(Ris Format - Win & Mac)

Papers Papers

(Ris Format - Win & Mac)

ProCite ProCite

(Ris Format - Win & Mac)

Reference Manager Reference Manager

(Ris Format - Win only)

Refworks Refworks

(Refworks Format - Win & Mac)

Zotero Zotero

(Ris Format - Firefox Plugin)

Avicenna J Environ Health Eng. 2019;6(2): 75-82.
doi: 10.34172/ajehe.2019.10

Scopus ID: 85169142483
  Abstract View: 785
  PDF Download: 410

Research Article

Evaluation of Temporal and Spatial Variations of Water Quality Parameters in Zohreh River, Iran

Maryam Ravanbakhsh 1,2 ORCID logo, Yaser Tahmasebi Birgani 1,3* ORCID logo, Maryam Dastoorpoor 4, Kambiz Ahmadi Angali 5

1 Department of Environmental Health Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
2 Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
3 Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
4 Department of Biostatistics and Epidemiology, Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
5 Department of Biostatistics, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
*Corresponding Author: Correspondence to Yaser Tahmasebi Birgani, Email:, Email: tahmasebiyaser@gmail.com

Abstract

Discriminant analysis (DA) and principal component analysis (PCA), as multivariate statistical techniques, are used to interpret large complex water quality data and assess their temporal and spatial variation in the basin of the Zohreh river. In this study, data sets of 16 water quality parameters collected from 1966 to 2013) in 4 stations (1554 observations for each parameter) were analyzed. PCA for data sets of Kheirabad, Poleflour, Chambostan and Dehmolla stations resulted in 4, 4, 4, and 3 latent factors accounting for 88.985%, 93.828%, 88.648%, and 88.68% of the total variance in water quality parameters, respectively. It is indicated that total dissolved solids (TDS), electrical conductivity (EC), chlorides (Cl−), sodium (Na), sodium absorption ratio (SAR), and %Na were responsible for water quality variations which are mainly related to natural and anthropogenic pollution sources including climate effects, gypsum, and salt crystals in the supratidal of Zohreh river delta, fault zones of Chamshir I and II, drainage of sugarcane fields, and domestic and industrial wastewaters discharge into the river. DA reduced the data set to only seven parameters (discharge, temperature, electrical conductivity, HCO3-, Cl-, %Na, and T-Hardness), affording more than 58.5% correct assignations in temporal evaluations and describing responsible parameters for large variations in the quality of the Zohreh river.
First Name
 
Last Name
 
Email Address
 
Comments
 
Security code


Abstract View: 786

Your browser does not support the canvas element.


PDF Download: 410

Your browser does not support the canvas element.