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Appraisal of surface–groundwater anthropogenic indicators and associated human health risk in El Sharqia Governorate, Egypt

  • Abdel Hameed M. El-Aassar
  • , Rasha A. Hussien
  • , Faten A. Mohamed
  • , Selda Oterkus
  • , Erkan Oterkus
  • Desert Research Center
  • Egyptian Atomic Energy Authority
  • University of Strathclyde

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The aim of this study was to integrate hydrogeochemistry with a multivariate statistical approach to understand the various processes that control the evolution/contamination of water resources in El Sharqia Governorate, Egypt with a particular emphasis on direct/indirect risks to human health. To achieve this, a representative collection of 21 groundwater and 35 drainage samples was taken and examined for physical, chemical, and trace element measurements. Results indicated that in shallow groundwater and drainage water samples, the relative abundance of major cations is Naþ . Mg . Ca . Kþ, and for anions it is HCO3- . Cl0- . SO42- (on a molar basis). Natural processes involving the dissolution/precipitation of some minerals and other processes including leaching of solid waste, overuse of agricultural fertilizers application, and high loads of discharged sewage water are responsible for the evolution of water resources in El Sharqia Governorate. Ammonia, nitrate, biological oxygen demand (BOD), phosphate, turbidity, iron, manganese, lead, and aluminum concentrations were found to be higher than the limits set by internatio2nal drinking water regulations. The health risk index (HRI) values for children were found to be higher than those for adults when the water resources are used for drinking purposes, which poses a risk to human health.

Original languageEnglish
Pages (from-to)719-739
Number of pages21
JournalJournal of Water and Health
Volume21
Issue number6
DOIs
StatePublished - 2023

Keywords

  • Egypt
  • El Sharqia Governorate
  • geochemical modeling
  • human health risk
  • hydrochemistry
  • modeling mixing process

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