Water demand has increased in 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 main water source for Jilin City is the Songhua River which has a lot of problems. This study aims to determine the appropriate groundwater resource field for 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 had good groundwater supplies. The dominant 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 groundwater satisfying the groundwater quality standard can be separated into five main areas. Using principal component analysis (PCA), 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 for total hardness (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 and PO43−, which may be due to anthropogenic pollution sources. Factor 3 was dominated by NO2−, NH4+ and NO3−, which may also be due to anthropogenic pollution sources. Factor 4 had a higher loading of chemical oxygen demand (COD), which again may be due to anthropogenic pollution sources. Factor 5 was dominated by Fe and Mn, which are produced by weathering-leaching-dissolution processes. The score values of the principal factors were influenced by urban land use. Chuanying region is the area in which the quality of groundwater is relatively good. It was determined that No. 6 region in Chuanying region is the groundwater resource field which has sufficient 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 2016