Literature DB >> 21549499

Determination of arsenic levels in the water resources of Aksaray Province, Turkey.

Levent Altaş1, Mustafa Işik, Murat Kavurmaci.   

Abstract

Arsenic levels were determined in 62 stations utilized as drinking and potable water resources by local community for Turkey's Aksaray Province (4589 km(2); 980 m above sea level). The samplings were implemented every two months for 1 year. The arsenic values were found to be ranging between 10 and 50 μg/L in 22 points and were found to be >50 μg/L in 5 stations, according to the mean value of the 6 samples. WHO and the Turkish Standards have permitted an arsenic concentration of 10 μg/L in drinking waters. The multivariate statistical technique, cluster analysis (CA), followed by principal component analysis (PCA) were applied to the data on 17 water quality parameters in 47 stations that are used for drinking and other domestic resources. Two significant sampling locations were detected based on the similarity of their water quality. The chemical correlations were observed in the two sub-sampling locations by Principal Component Analysis.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21549499     DOI: 10.1016/j.jenvman.2011.03.044

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  4 in total

1.  Statistical analysis of arsenic contamination in drinking water in a city of Iran and its modeling using GIS.

Authors:  Fatemeh Sadeghi; Simin Nasseri; Mohammad Mosaferi; Ramin Nabizadeh; Masud Yunesian; Alireza Mesdaghinia
Journal:  Environ Monit Assess       Date:  2017-04-24       Impact factor: 2.513

2.  Reducing arsenic and groundwater contaminants down to safe level for drinking purposes via Fe3+-attached hybrid column.

Authors:  Fatma Gurbuz; Şahin Akpınar; Samet Ozcan; Ömür Acet; Mehmet Odabaşı
Journal:  Environ Monit Assess       Date:  2019-11-06       Impact factor: 2.513

3.  A statistical approach for arsenic adsorption onto Turkey clinoptilolite.

Authors:  E Bilgin Simsek; A O Avcı Tuna; U Beker
Journal:  Environ Sci Pollut Res Int       Date:  2014-05-03       Impact factor: 4.223

4.  Assessment of arsenic removal efficiency by an iron oxide-coated sand filter process.

Authors:  Arianna Callegari; Navarro Ferronato; Elena Cristina Rada; Andrea G Capodaglio; Vincenzo Torretta
Journal:  Environ Sci Pollut Res Int       Date:  2018-07-03       Impact factor: 4.223

  4 in total

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