JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI ›› 2020, Vol. 37 ›› Issue (4): 30-36.DOI: 10.11988/ckyyb.20181319

• WATER RESOURCES AND ENVIRONMENT • Previous Articles     Next Articles

Groundwater Hydrochemical Characteristics and Water Quality Assessment in Jiaozuo

QIAN Sheng-yuan1, ZHANG Qian-kun2, CHEN Cong-jian1, YANG Guo-ping3   

  1. 1.School of Civil Engineering and Architecture, Jiangsu Open University, Nanjing 210019, China;
    2.Zhengzhou City Municipal Engineering Design & Research Institute,Zhengzhou 450000, China;
    3.Nanjing City Vocational College, Nanjing 211200, China
  • Received:2018-12-13 Online:2020-04-01 Published:2020-05-21

Abstract: The hydrochemical characteristics of groundwater samples collected from Jiaozuo in 2017 were analyzed using mathematical statistics, Piper'plot, and correlation of components. The groundwater quality in the study area were also assessed using the method of single-factor evaluation and fuzzy comprehensive evaluation method based on principal component analysis. Results unveiled that Ca2+, Mg2+, SO2-4 and HCO3- were dominant in the groundwater of Jiaozuo. In shallow groundwater, the hydrochemical type evolved from HCO3-Ca to HCO3·SO4-Ca·Mg and HCO3·SO4·Cl- Ca·Mg along the direction of groundwater runoff. In deep groundwater, the hydrochemical type was mainly HCO3·SO4-Ca·Mg, with some local HCO3·SO4-Ca·Mg. The change of ion content in groundwater was mainly affected by weathering and leaching of carbonate, sulfate and rock salt. Single factor evaluation result showed that the excessive TH, Mg2+, TDS, SO2-4 and other components were major factors that affect the quality of groundwater. Fuzzy comprehensive evaluation results revealed that 61% and 75% of the shallow and deep groundwater quality in the study area met the Ⅲ-level water standard and above. The research findings offer basis for the water quality assessment and reasonable utilization of water resources in Jiaozuo.

Key words: groundwater, hydrochemical characteristics, water quality assessment, principal component analysis, fuzzy comprehensive evaluation, Jiaozuo

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