African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6669

Full Length Research Paper

Hydrochemical investigation of groundwater contamination in an Urban Area of Beijing aquifer: Impact of irrigation with industrial waste water

Seyf-laye Alfa-Sika Mande1,2*, Mingzhu Liu1, Gbandi Djaneye-Boundjou2, Fei Liu2, Lyutsiya Kamaletdinova1, Moctar Limam Bawa2 and Honghan Chen1
  1Beijing Key Laboratory of Water Resources and Environmental Engineering, China University of Geosciences (Beijing), Beijing 100083, China. 2Water Chemistry Laboratory, Faculty of Science, University of Lome, BP 1515, Togo.
Email: [email protected], [email protected]

  •  Accepted: 28 November 2011
  •  Published: 19 December 2011



Groundwater quality in Beijing, China was evaluated by measuring the quantities of major and minor elements, temperature, pH, total dissolved solids (TDS), and electrical conductivity (EC). Most samples contained high concentrations of NO3 (5.13 to 164.0 mg/L), which is a serious water quality issue. This NO3 originates from the soil surface and enters the groundwater by infiltration. Factor analysis modeling demonstrated that NO3, Cl, SO42−, Ca2+, and Mg2+ in the system are produced by anthropogenic sources, but a portion of the (Ca2+, Mg2+) comes from ion exchange and mineral dissolution. The strong correlation observed between NO3 and Ca2+, Mg2+, Cl and SO42- suggests that they have the same origin. The parameters in Factors 1–3 reflected the importance of the acid-rain recharge of the aquifers in the area, anthropogenic impact and salinity, respectively. Hierarchical cluster analysis was used to group the wells into homogeneous zones for future monitoring of groundwater quality. Multivariate statistical techniques were used to identify key parameters that described the groundwater quality, characterize spatial variability of groundwater quality data and allow future groundwater quality control studies to be performed using a reduced number of measurements on a small number of sampling points, respectively.



Key words: Groundwater, hydrochemica, multivariate statistical, nitrate, contamination.