Hydrogeochemistry and water quality of the Kordkandi-Duzduzan plain, NW Iran: application of multivariate statistical analysis and PoS index

Environ Monit Assess. 2017 Aug 18;189(9):455. doi: 10.1007/s10661-017-6171-4.

Abstract

Kordkandi-Duzduzan plain is one of the fertile plains of East Azarbaijan Province, NW of Iran. Groundwater is an important resource for drinking and agricultural purposes due to the lack of surface water resources in the region. The main objectives of the present study are to identify the hydrogeochemical processes and the potential sources of major, minor, and trace metals and metalloids such as Cr, Mn, Cd, Fe, Al, and As by using joint hydrogeochemical techniques and multivariate statistical analysis and to evaluate groundwater quality deterioration with the use of PoS environmental index. To achieve these objectives, 23 groundwater samples were collected in September 2015. Piper diagram shows that the mixed Ca-Mg-Cl is the dominant groundwater type, and some of the samples have Ca-HCO3, Ca-Cl, and Na-Cl types. Multivariate statistical analyses indicate that weathering and dissolution of different rocks and minerals, e.g., silicates, gypsum, and halite, ion exchange, and agricultural activities influence the hydrogeochemistry of the study area. The cluster analysis divides the samples into two distinct clusters which are completely different in EC (and its dependent variables such as Na+, K+, Ca2+, Mg2+, SO42-, and Cl-), Cd, and Cr variables according to the ANOVA statistical test. Based on the median values, the concentrations of pH, NO3-, SiO2, and As in cluster 1 are elevated compared with those of cluster 2, while their maximum values occur in cluster 2. According to the PoS index, the dominant parameter that controls quality deterioration is As, with 60% of contribution. Samples of lowest PoS values are located in the southern and northern parts (recharge area) while samples of the highest values are located in the discharge area and the eastern part.

Keywords: Hydrogeochemistry; Iran; Multivariate statistical analysis; PoS index; Trace metals.

MeSH terms

  • Agriculture
  • Cluster Analysis
  • Environment
  • Environmental Monitoring / methods*
  • Groundwater / analysis
  • Ions / analysis
  • Iran
  • Minerals / analysis
  • Multivariate Analysis
  • Silicon Dioxide / analysis
  • Water Pollutants, Chemical / analysis
  • Water Pollution, Chemical / statistics & numerical data*
  • Water Quality
  • Water Resources

Substances

  • Ions
  • Minerals
  • Water Pollutants, Chemical
  • Silicon Dioxide