4.7 Article

Inflection Points on Groundwater Age and Geochemical Profiles Along Wellbores Light up Hierarchically Nested Flow Systems

期刊

GEOPHYSICAL RESEARCH LETTERS
卷 48, 期 16, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2020GL092337

关键词

hierarchically nested groundwater flow systems; inflection points; age and geochemical profiles; packer system; stagnation point; groundwater age

资金

  1. National Natural Science Foundation of China [41772249, 41727901]
  2. China Geological Survey [DD20160293]
  3. Shaanxi Science, Technology Department [2019TD-040, 2021ZDLSF05-01]
  4. International Atomic Energy Agency [RAS7030, RAS7035]

向作者/读者索取更多资源

The authors used a packer system along two wellbores to obtain groundwater age and geochemical profiles, revealing significant changes in age and Cl- concentration at different depths, which can delineate interfaces and stagnation points within groundwater flow systems. This method has the potential to reduce uncertainty in model construction.
Hierarchically nested groundwater flow systems have been widely investigated by numerical modeling and laboratory experiments but seldom recognized from in situ observations and testing. Groundwater age and geochemical profiles were obtained by the authors using a packer system along two wellbores drilled in the Ordos Plateau, China. Groundwater age profiles were constructed from H-3, Kr-85, C-14, and Kr-81 data, with the apparent age generally increasing with depth, while exhibiting several inflection points. These inflection points were compared with geochemical profiles and numerical modeling results to delineate groundwater flow systems. Inflection points with significant increases in the gradients of age and Cl- concentration versus depth may indicate interfaces among flow systems. A concurrent decrease-increase turning of groundwater age and Cl- concentration is influenced by a stagnation point. The groundwater age profiles are quite different from previous studies, indicating that the method can greatly reduce the uncertainty in model construction.

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