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Assessment of physicochemical characteristics in groundwater quality parameters

  • Sundus Saeed Qureshi
  • , Azizullah Channa
  • , Sheeraz Ahmed Memon
  • , Qamaruzaman Khan
  • , Ghazala Akbar Jamali
  • , Azeem Panhwar
  • , Tawfik A. Saleh*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

The assessment of groundwater quality was carried out by fetching the groundwater samples from different locations of Tandojam. The physicochemical parameters of groundwater samples were assessed to determine their quality and suitability for usage. The findings of the study have comprehensively demonstrated the presence of high quantity physicochemical parameters in most of the areas in contrast to guidelines values by the World Health Organization (WHO) and National Environmental Quality Standards (NEQS) for drinking water. Only Boron from all locations was best suitable within the limits of the guidelines. However, TDS, pH, EC, TH, turbidity, Cl ion, Al, SO42−, and NO3 were exceeding the WHO guidelines in most of the locations, and the quantified values were noticed within the limits only in few locations. Moreover, the TDS concentration of the Sindh Agriculture University colony was within the limits. In the Garibabad colony, Shahi Bazar, and Pakistani Chowk, the condition of the water is very displeasing because samples from these areas contained salty taste as well as high hardness. The correlation analysis among different parameters showed that as the correlations between parameters became weaker, the observed values became insignificant. The linear regression analysis was done as well as models were developed for predicting the concentration of groundwater quality parameters. A significantly positive correlation at 1% and 5% was found between many parameters. The regression model of turbidity presented a maximum value of 0.948% of the observed variability.

Original languageEnglish
Article number101877
JournalEnvironmental Technology and Innovation
Volume24
DOIs
StatePublished - Nov 2021

Bibliographical note

Publisher Copyright:
© 2021 Elsevier B.V.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Keywords

  • Correlation and linear regression analysis
  • Ground water quality parameters
  • WHO guidelines

ASJC Scopus subject areas

  • General Environmental Science
  • Soil Science
  • Plant Science

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