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Quality of tube well water intended for irrigation and human consumption with special emphasis on arsenic contamination at the area of Punjab,Pakistan
Authors:Atta Rasool  Tangfu Xiao  Abida Farooqi  Muhammad Shafeeque  Yizhang Liu  Muhammad Aqeel Kamran  Ioannis A Katsoyiannis  Syed Ali Musstjab Akber Shah Eqani
Institution:1.State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry,Chinese Academy of Sciences,Guiyang,China;2.University of Chinese Academy of Sciences,Beijing,China;3.Environmental Hydro-geochemistry Laboratory, Department of Environmental Sciences,Quaid-i-Azam University,Islamabad,Pakistan;4.Department of Irrigation and Drainage,University of Agriculture,Faisalabad,Pakistan;5.State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science,Chinese Academy of Sciences,Nanjing,China;6.Laboratory of General and Inorganic Chemical Technology, Department of Chemistry,Aristotle University,Thessaloníki,Greece;7.Public Health and Environment Division, Department of Biosciences, Institute of Information Technology,COMSATS,Islamabad,Pakistan
Abstract:In the present study, the tube well water quality and the associated health risks, emphasizing on arsenic contamination, were investigated in rural and urban samples from Tehsil Mailsi located in Punjab, Pakistan. Arsenic concentrations (μg/L) were ranged from 12 to 448.5 and which exceeded the WHO recommended limit (10 μg/L) in all cases. The calculated average daily dose (3.3 × 10?0.4 to 1.2 × 10?0.2 mg/kg day) and hazard quotient (1.1–40) reflected the potential health risk to local population due to tube well water consumption as drinking purpose. Sodium percent (Na%), sodium absorption ratio, residual sodium carbonate, Kelly’s index and magnesium absorption ratio were also determined to assess the suitability of tube well water for irrigation purpose. The resulting piper plot revealed the Na–Ca–HCO3 type water chemistry of the area and generally alkaline environment. The spatial distribution of arsenic in the tube well waters pinpoints the significant contribution of anthropogenic activities to arsenic pollution. Nevertheless, different statistical tools, including principal component analysis, hierarchical cluster analysis and correlation matrices, revealed the contribution of both natural and anthropogenic activities and alkaline type of aquifers toward the high level of arsenic contamination.
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