Pearson correlation matrix, hierarchical cluster, and principal component analysis (PCA) were used to analyse 22 groundwater hydrochemical data obtained in the Delhi region during the post-monsoon season of 2013. The principle component (PC) was extracted from the data using the Kaiser criterion and rotated using varimax normalisation for 22 locations. The concentrations of EC, TDS, Cl-, Mg2+, TH, Fe2+, F-, Na+, and K+ were found to be higher in the analysis. The aquifer is primarily governed by EC, TDS, Cl-, Mg2+, TH, Na+, SO42-, and K+, according to correlation analysis of hydrochemical data. The first two factors explain 85.67 percent of the total variation in principal component analysis. Sample sites were divided into four statistically significant clusters by HCA. The combined use of the PCA and HCA techniques resulted in a more trustworthy hydrochemistry interpretation. The findings of this study show that multivariate statistical techniques can be quite effective in hydrochemical examination.
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The goal of this study was to look into the concentrations of various metals that were measured in groundwater in the Mazandaran region of northern Iran in November 2013, and to see whether there were any correlations between metals and pH and total hardness. Water samples were taken from 20 different locations across the province of Mazandaran. A GBC (Savant AA Sigma) flame atomic absorption spectrometer was used to determine the concentrations of Cd, Pb, Cr, Cu, Zn, and Fe in groundwater. Metal concentrations in groundwater samples fell in the following order: Zn> Cr > Pb > Cu > Cd. The overall mean values of Cd, Pb, and Cr were 3.2, 21.8, and 4.9 ug/l, respectively, according to the findings. Cu and Zn concentrations averaged 5.5 and 29 ug/l, respectively. The findings also revealed that there were correlations between the elements Cd, Cu, and Zn, indicating that the current quality of groundwater in Mazandaran province poses no urgent health risks..
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The significance of seasonal fluctuations in air pollution concentrations in Chidambaram’s urban, industrial, commercial, and agricultural regions is investigated in this paper. In Chidambaram, suspended particle matter (SPM), sulphur dioxide (SO2), and nitrogen oxides (NOx) were measured at eight different locations. The current study examines the impact of industry, urbanisation, and vehicular emissions on Chidambaram’s ambient air quality. During the sampling time, meteorological factors such as temperature, relative humidity, wind speed, and rainfall were also measured simultaneously. During the months of January to December 2008, eight different pollution-prone areas were purposefully located, and 8 hour samplings were conducted. These contaminants’ monthly and seasonal variations have been observed and reported. The annual average and range values were calculated as well. The concentrations of contaminants are higher in the winter than in the summer or monsoon seasons, according to research. The SPM and NOX levels at all of the sites studied in this study exceeded the statutory limits set by the Central Pollution Control Board (CPCB) in New Delhi, India. The air quality index was used to analyse the ambient air in Chidambaram in this study (AQI). This study looked at the 8-hourly average concentrations of three major criterion pollutants, namely suspended particulate matter (SPM), sulphur dioxide (SO2), and nitrogen dioxide (NO2), at eight distinct locations in Chidambaram in 2008.
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Some physicochemical parameters and hydrocarbon concentration were assessed in effluents from a Nigerian National Petroleum Corporation (NNPC) depot in Calabar, Cross River State, Nigeria. Except for temperature, which was +0.2°C above the requirement for temperature of 30.0°C, all physicochemical characteristics of effluents were below Federal Ministry of Environment (FMEnv) acceptable limits. THC value for the effluent was 0.8mg/l. The physicochemical parameters of the depot’s effluent were found to be below FMEnv’s criteria, indicating that it was safe to discharge. Environmental regulatory agencies should monitor the actions of enterprises, industries, plants, and oil depots (oil terminals) that emit effluents to assure compliance.
Please see the link :- https://www.ikprress.org/index.php/JOGEE/article/view/385