Spatial variability of vertical permeability coefficient from the piedmont to the coastal area of North China Plain
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Abstract:
The permeability coefficient is the main parameter to characterize permeability, and has strong spatial variability. Taking the piedmont coastal area of North China Plain as the study area, eight boreholes were selected, and the permeability coefficient is calculated by the inversion formula and the improved Archie formula. The spatial variability of vertical permeability coefficient is studies using time series method and random forests algorithm based on fully considering the influencing factors of vertical permeability coefficient in the study area. The result showed that the influencing factors of the vertical permeability coefficient could be divided into three categories: sedimentary environment, formation pressure, and random error; after removing the influence of sediment ary environment and random error, the permeability coefficient decreased with the increase of depth, and the sensitivity of the permeability coefficient to the formation pressure decreased gradually from the piedmont to the coastal area. A scientific basis was provided for understanding agricultural irrigation, pollutant migration, site selection of landfill sites, and development of deep groundwater resources in North China Plain.
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