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Volume 37 Issue 4
Aug.  2018
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Article Navigation >  CARSOLOGICA SINICA  > 2018  >  37(4): 515-526
CHI Guangyao, XING Liting, HOU Xinyu, HUANG Linxian, YANG Yi, ZHANG Wenjing. Study of large karst springs using the wavelet analysis and Mann-Kendall methods[J]. CARSOLOGICA SINICA, 2018, 37(4): 515-526. doi: 10.11932/karst20180405
Citation: CHI Guangyao, XING Liting, HOU Xinyu, HUANG Linxian, YANG Yi, ZHANG Wenjing. Study of large karst springs using the wavelet analysis and Mann-Kendall methods[J]. CARSOLOGICA SINICA, 2018, 37(4): 515-526. doi: 10.11932/karst20180405
shu

Study of large karst springs using the wavelet analysis and Mann-Kendall methods

doi: 10.11932/karst20180405
  • 1.

    School of Water Conservancy and Environment, University of Jinan

  • 2.

    School of Water Conservancy and Environment, University of Jinan/Shandong Provincial Engineering Technology Research Center for Groundwater Numerical Simulation and Contamination Control

  • Publish Date: 2018-08-25
    Abstract
  • The study of groundwater dynamics is one of the most effective ways to understand the nature of groundwater resources. According to the monitoring data of precipitation and groundwater level in the Jinan karst spring area from 1956 to 2013, this work studies the spring water level response to atmospheric precipitation during these 58 years using the wavelet analysis, Mann-Kendall trend test and mutation test. The results show that，(1) the precipitation and spring water level show a feature of multi-scale variation, and the change cycle is basically the same on a long-term scale, which are 16 years and 12 years, respectively. It means that atmospheric precipitation has a direct impact on the spring water level.(2) From 1956 to 2013, the groundwater level in the Jinan spring area had a significant downward trend of 0.65m·（10a）-1, while the precipitation had an upward trend of 12.65mm·（10a）-1, which is not significant, indicating that the weight of the influencing factors of spring dynamic has changed under the influence of human factors. (3)Furthermore, there has been a mutation of atmospheric precipitation which occurred in 1999, and the annual precipitation increased after 1999. However, the groundwater level mutation appeared in 1967, while the water level continued to decrease after 1967 and then increased rapidly after 2004. The future trend of the spring water level should be kept consistent with the precipitation and show an upward trend, indicating that atmospheric precipitation is not the sole factor affecting the dynamics of the spring. (4)The results from multivariable regressions for different periods of time suggest that the main influencing factors of groundwater level in the past 58 years are the transition from precipitation to artificial mining; at the same time, it validates the suitability and reliability of wavelet analysis and the Mann-Kendall method to study groundwater dynamics, and also provides a reference for the protection of the spring in Jinan City.

     

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