Data in Brief (Oct 2021)

Dataset for the physio-chemical parameters of groundwater in the Emirate of Abu Dhabi, UAE

  • Mufeed Batarseh,
  • Emad Imreizeeq,
  • Seyda Tilev,
  • Mohammad Al Alaween,
  • Wael Suleiman,
  • Abdulla Mohammed Al Remeithi,
  • Mansoor Khamees Al Tamimi,
  • Majdy Al Alawneh

Journal volume & issue
Vol. 38
p. 107353

Abstract

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This dataset considers the statistical evaluation of groundwater quality for irrigation purposes in the Emirate of Abu Dhabi, UAE. The evaluation is based on calculating Irrigation Water Quality Index (IWQI), Sodium Adsorption Ratio (SAR), Sodium Percentage (%Na), and Permeability Index (PI). The article represents raw data and statistical analysis for 145 groundwater well samples which took place from January until April 2018, where each sample was analyzed for the following main physio-chemical parameters including pH, EC, HCO3−, TDS, Ca2+, Mg2+, Na+, K+, and Cl−. The outcomes of the IWQI showed that 52% of the samples were categorized under severe irrigation restrictions, where groundwater can be used for irrigation of high salt tolerance crops only. While, 44% of the investigated sites located within the high restriction category, 3% within moderate restriction, and 1% within the low irrigation restriction category. Moreover, the data has been used to find other irrigation water quality indices such as Sodium Adsorption Ratio (SAR), Sodium Ratio (%Na), and Permeability Index (PI). These indices provided a guidance for evaluating the problems that might be developed in soil due to current irrigation practices in the study area. Furthermore, statistical analysis provided a deeper understanding of the relationship and data trends among the different physio-chemical parameters and water quality indices.

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