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XU Shuyuan，SHUAI Guanyin，HAN Juan，et al. Impact of groundwater levels at different temporal scales on calculation accuracy of annual shallow groundwater storage variation[J]. Bulletin of Geological Science and Technology，2026，45（4）：1-13 doi: 10.19509/j.cnki.dzkq.tb20250171
Citation: XU Shuyuan，SHUAI Guanyin，HAN Juan，et al. Impact of groundwater levels at different temporal scales on calculation accuracy of annual shallow groundwater storage variation[J]. Bulletin of Geological Science and Technology，2026，45（4）：1-13 doi: 10.19509/j.cnki.dzkq.tb20250171
shu

Impact of groundwater levels at different temporal scales on calculation accuracy of annual shallow groundwater storage variation

doi: 10.19509/j.cnki.dzkq.tb20250171
  • 1.

    Shanxi Institute of Energy, Taiyuan 030600, China

  • 2.

    Shanxi Conservancy Technical Institute, Yuncheng Shanxi 044000, China

  • 3.

    Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China

More Information
  • Author Bio:

    E-mail：tyutxsyuan@126.com

  • Corresponding author: E-mail：sgy2140@163.com
  • Received Date: 14 Apr 2025
  • Accepted Date: 01 Aug 2025
  • Rev Recd Date: 30 Jul 2025
    • Available Online: 15 Dec 2025
    Abstract
  • Objective 

    This study aims to examine the influence of groundwater level at different temporal scales (specifically hourly, daily, monthly, and annual average water levels) on the accuracy of annual shallow groundwater storage variation calculations.

    Methods 

    The shallow groundwater system of the Handan Plain at 2019 was selected as the study object. The grid method and the Thiessen polygon method were applied to calculate groundwater storage variations using water level data at different temporal scales, and the results were compared to evaluate differences in calculation accuracy.

    Results 

    The results indicated that, for the same temporal scale, groundwater storage variation estimates obtained using the grid method and the Thiessen polygon method were generally consistent, with a maximum difference of 0.0114 billion m3. At different temporal scales, both methods showed that the results calculated using monthly average water levels deviated the most from those calculated using hourly water levels, which were considered more accurate in theory. The deviations were 0.0727 billion m3 for the grid method and 0.0611 billion m3 for the Thiessen polygon method, with no consistent directional bias. In contrast, estimates using annual average water levels exhibited relatively small discrepancies compared to those calculated using hourly water levels, with a difference of 0.0015 billion m3. However, the degree of agreement also exhibited randomness. For the grid method, the estimated results based on annual average water levels did not change significantly with grid size, with a maximum difference of 0.0011 billion m3. At non-annual temporal scales, calculation accuracy improved as the grid resolution became finer. The grid method yielded more accurate results than the Thiessen polygon method when the grid resolution was finer than 1 km. However, the Thiessen polygon method demonstrated superior accuracy when the grid cell size of regular partition approached the average area of Thiessen polygons.

    Conclusion 

    These findings provide theoretical and methodological support for the rational selection of water level data at different temporal scales, thereby improving the accuracy of groundwater storage variation calculations, which is essential for evaluating the effectiveness of groundwater overexploitation control strategies.

     

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