Assessment of groundwater quality, toxicity and health risk in an industrial area using multivariate statistical methods
نویسندگان
چکیده
منابع مشابه
Application of Multivariate Statistical Techniques in the Assessment of Groundwater Quality in Chrompet Industrial Area, Chennai
Multivariate statistical techniques such as factor analysis (FA) and cluster analysis (CA) were applied for the evaluation of spatial variations and the interpretation of a large complex water quality data set of Chrompet in Chennai, Tamil Nadu. 11 parameters of water samples collected from 16 different sampling stations of city was determined. Factor analysis indicates three factors in pre mon...
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The present study monitors BTEX concentration in outdoor and indoor air of eight different microenvironments during summer 2017 and winter 2018 at Asaloyeh city, Iran's energy capital. It samples BTEX compounds by charcoal tubes, analyzing the samples by means of a gas chromatograph with a flame ionization detector. According to the obtained results, outdoor concentrations of BTEX have been hig...
متن کاملCharacteristics and Health Risk of BTEX at Selected Different Microenvironments in an Industrial-Urban Area, Iran
The present study monitors BTEX concentration in outdoor and indoor air of eight different microenvironments during summer 2017 and winter 2018 at Asaloyeh city, Iran's energy capital. It samples BTEX compounds by charcoal tubes, analyzing the samples by means of a gas chromatograph with a flame ionization detector. According to the obtained results, outdoor concentrations of BTEX have been hig...
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In the current study, the qualitative status of potable well water was assessed using the groundwater quality index during a course of 4 years (2014-2017). This study was carried out with an aim to monitor the drinking water resources from 12 potable wells on the multivariate analysis basis and for determination of groundwater quality index, the following 13 physicochemical parameters including...
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Rapid population growth as well as agricultural and industrial development have increased the contamination of Iranian rivers. This study utilized principal components analysis (PCA) to determine the degree of significance of qualitative parameters of water resources in the Karkheh River in southwestern Iran. Cluster analysis (CA) grouped the monitoring stations based on the water quality data ...
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ژورنال
عنوان ژورنال: Environmental Systems Research
سال: 2019
ISSN: 2193-2697
DOI: 10.1186/s40068-019-0154-0