The water demand is increased in the metropolitan cities due to fast population growth and industrial development. Jilin City, located in the middle of Jilin province, Northeast China, has a population of approximately 4.30 million. The water source of the Jilin City is mainly from Songhua River which has a lot of problems. This study aims in determining the appropriate groundwater resource field in the Jilin City by groundwater quantity analysis, groundwater quality analysis and multivariate statistical analysis. Results showed that the groundwater quantity in the study area was separated into four main areas. Most of the study areas were good watery zone. The dominance ions were Ca2+, Mg2+, Na+, NH4+, NO3−, HCO3− and SO42−. The groundwater types can be classified as Ca–HCO3, Ca + Mg–HCO3, Ca + Na–HCO3, Ca + HCO3–SO4, Ca + Mg–HCO3 + SO4 and Ca + Na–HCO3 + SO4. The regions of the groundwater satisfying the groundwater quality standard can be separated into five main areas. Five principal factors were extracted from the dataset. Factor 1 had high positive loadings for most of the major ions (Na+, Ca2+, Mg2+, HCO3− and SO42−) as well as to TH and electrical conductivity (EC), which represents the natural hydro-geochemical evolution of groundwater by groundwater-geological interaction. Factor 2 was dominated by F−, pH, PO43−, which may be probably due to anthropogenic pollution source. Factor 3 was dominated by NO2−, NH4+ and NO3−, which may be probably due to the anthropogenic pollution source. Factor 4 had higher loading on COD, which may be probably due to anthropogenic pollution source. Factor 5 was dominated by Fe and Mn, which produced by weathering-leaching-dissolve processes. The score values of the principal factors were influenced by urban land use. Chuanying region was the area which the quality of groundwater is relatively good. No.6 region in Chuanying region was determined into the groundwater resource field finally which has sufficient water and good quality water.
- groundwater quality
- groundwater quantity
- groundwater source field
- Jilin City
- multivariate statistical analysis
- First received 19 April 2015.
- Accepted in revised form 12 October 2015.
- © IWA Publishing 2015