Environmental Monitoring and Assessment

, Volume 186, Issue 8, pp 5185–5197 | Cite as

An attempt to evaluate the recharge source and extent using hydrogeochemistry and stable isotopes in North Henan Plain, China

  • Yan Zhang
  • Fadong Li
  • Guangshuai Zhao
  • Jing Li
  • Zhu Ouyang


A thorough understanding of groundwater recharge source, particularly its rate, is usually a prerequisite for effective water resources management. In this paper, we report the impact of Yellow River water seepage from the North Henan Plain, using both hydrogeochemical and stable isotopic analysis data. Seven Yellow River water samples, 10 groundwater samples from a river-parallel transect, and 36 groundwater samples from four different perpendicular transects to the Yellow River in the western, middle, and eastern plain were collected and analyzed. It inferred that cation exchange of Ca2+ and/or Mg2+ for Na+ occurred in groundwaters because of the dissolution of carbonate rocks. The hydrogeochemical results indicate that western piedmont lateral groundwater and the Yellow River are both important sources of groundwater recharge for the western transect of the North Henan Plain, while the former is a greater recharge source for the middle transect, and the latter is a greater recharge source for the eastern transect. Stable isotope data support Yellow River water incursion into the groundwater. The approximate distance (based on chloride concentration) from the Yellow River to border of the impact zone is17.43–23.40 km in the western plain, 52.46 km in the middle plain, and 49.82 km in the eastern plain.


Hydrochemistry Groundwater Recharge Stable isotope Yellow River basin 



This research was financially supported by the 100-Talent Project of Chinese Academy of Sciences, the National Natural Science Foundation of China (Grant no. 31170414 and 41271047). Special thanks are expressed to Mark for improving the English of this manuscript. The authors also thank the editors and anonymous reviewers for their valuable comments and suggestions, which greatly improved this manuscript.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yan Zhang
    • 1
    • 2
  • Fadong Li
    • 1
  • Guangshuai Zhao
    • 1
    • 2
  • Jing Li
    • 1
  • Zhu Ouyang
    • 1
  1. 1.Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingChina
  2. 2.University of Chinese Academy of SciencesBeijingChina

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