Evaluation of Water Quality Using Heavy Metal Index and Multivariate Statistical Analysis in Lorestan Province, Iran
Journal Title: Journal of Advances in Environmental Health Research (JAEHR) - Year 2017, Vol 5, Issue 1
Abstract
In the present study, the water quality of Silakhor River, located in Rahim Abad hydrometric station, was analyzed based on Boron, Iron, Nickel, Fluorine, Manganese, Chromium, Cadmium, Aluminum, Copper, Zinc and Lead pollution. The samples were collected from Silakhor River in Rahim Abad hydrometric station during a one-year period, from December 2012 to November 2013. In addition, metal index (MI) and heavy metal evaluation index (HEI) were applied to evaluate the amount of heavy metal pollution of water resources in the study area. The aforemention indices determined the origin of contamination of water resources, drinking or non-drinking. The findings from the samples showed that the amount of some heavy metals, such as Lead, Chromium, Cadmium and Manganese was higher than permissible limit of WHO standard. However, metal index (MI) and heavy metal evaluation index (HEI) proved that all samples are non-potable. In the present study, statistical studies (correlation coefficient, factor analysis and cluster analysis) were employed to determine the probable origin of the area’s elements. The findings indicated a multiple source of pollutants for the region water resources including two major sources; one is associated with the region lithology (the natural factor) while the other is caused by human activity in the region (anthropogenic factors).
Authors and Affiliations
Zahra Khoshnam, Ramin Sarikhani, Artimes Ghassemi Dehnavi, Zeinab Ahmadnejad
Prevalence of antibiotic resistant genes in selected activated sludge processes in Isfahan Province, Iran
Wastewater treatment plants are one of the main sources of dissemination of antibiotic resistance genes (ARGs) into the environment. The present study was conducted to determine the prevalence and removal of ARGs in diff...
Application of artificial neural network (ANN) for the prediction of water treatment plant influent characteristics
Application of a reliable forecasting model for any water treatment plant (WTP) is essential in order to provide a tool for predicting influent water quality and to form a basis for controlling the operation of the proce...
Improving CO2 adsorption with new amine-functionalized Y-type zeolite
In this work, a new synthesized Y-type zeolite with an Si/Al molar ratio of 2.5 (NaY) was modified with amines, in order to probe the influence of the modification of the adsorbent’s surface on CO2 adsorption. The three...
The study of azo dye removal from liquid medium by modified clay
In this batch study, montmorillonite was modified by a cationic surfactant [hexadecyltrimethylammonium bromide (HDTMA-MMT)] and used as sorbent to remove bromocresol green (BCG) from aqueous solutions. The effect of seve...
Temporal and spatial variation of drinking water quality in a number of Divandareh villages, Iran: With emphasis on fluoride distribution
Fluoride is found in all water resources at different concentrations and drinking water is the major source of fluoride exposure. Thus, because of the adverse effect of fluoride in low and high concentrations, the evalua...