Quality modeling of drinking groundwater using GIS in rural communities, northwest of Iran

Journal of Environmental Health Science Engineering

Mehdi Belvasi³  Esmaeil Fatehifar⁴  Mohammad Shakerkhatibi⁵  Mojtaba Pourakbar¹  Mohammad Mosaferi² 

[1] School of Health, Student research committee, Tabriz University of medical sciences, Tabriz, Iran;Tabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran;M.S. Graduated of Geographic Information Systems & Remote Sensing, School of Geography, Tabriz University, Tabriz, Iran;Sahand University of Technology, Sahand, Iran;Department of Environmental Health Engineering, Tabriz University of Medical Sciences, Tabriz, Iran

关键词: Multivariate statistic;    Mapping;    Groundwater;    GIS;    Heavy metals;   

Others  :  1164620
DOI  :  10.1186/2052-336X-12-99

 received in 2014-01-20, accepted in 2014-06-17,  发布年份 2014

【 摘 要 】

Given the importance of groundwater resources in water supply, this work aimed to study quality of drinking groundwater in rural areas in Tabriz county, northwest of Iran. Thirty two groundwater samples from different areas were collected and analyzed in terms of general parameters along with 20 heavy metals (e.g. As, Hg and …). The data of the analyses were applied as an attribute database for preparing thematic maps and showing water quality parameters. Multivariate statistical techniques, including principal component analysis (PCA) and hierarchical cluster analysis (CA) were used to compare and evaluate water quality. The findings showed that hydrochemical faces of the groundwater were of calcium-bicarbonate type. EC values were from 110 to 1750 μs/cm, in which concentration of salts was high in the east and a zone in north of the studied area. Hardness was from 52 to 476 mg/l and CaCO₃ with average value of 185.88 ± 106.56 mg/L indicated hard water. Dominant cations and anions were Ca²⁺ > Na⁺ > Mg²⁺ > K⁺ and HCO₃⁻ > Cl⁻ > SO₄²⁻ > NO₃², respectively. In the western areas, arsenic contamination was observed as high as 69 μg/L. Moreover, mercury was above the standard level in one of the villages. Eskandar and Olakandi villages had the lowest quality of drinking water. In terms of CA, sampling sites were classified into four clusters of similar water quality and PCA demonstrated that 3 components could cover 84.3% of the parameters. For investigating arsenic anomaly, conducting a comprehensive study in the western part of studied area is strongly recommended.

【 授权许可】

   
2014 Mosaferi et al.; licensee BioMed Central Ltd.

【 图 表 】

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