EGU24-14513, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-14513
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Geostatistical Stochastic Simulation of Hydraulic Conductivity and  Groundwater Dynamics Interpretation in an Alluvial-Marine Sedimentary System: A Case Study in Beihai City, China

Keyu Gong1, Zhang Wen1, Qinghua Li2, and Qi Zhu1
Keyu Gong et al.
  • 1Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, Hubei, China
  • 2Wuhan Center of China Geological Survey, Wuhan 430205, China

In the realm of scientific water supply and the vigilant monitoring of advancing marine geohazards, the importance of sustainable aquifer management in coastal cities cannot be overstated. Investigating aquifer heterogeneity and the characteristics of coastal groundwater fluctuations serves as an effective approach to unveil the dynamic nature of aquifers. In this study, we simulated discrete geological variables using SISIM and T-PROGS, leveraging data from 8629 sample points across 111 boreholes in Beihai city, southern China. The results demonstrate heightened accuracy in depicting both lateral sediment distribution driven by river dynamics and vertical processes governing hydraulic conductivity coefficients within the aquifer. Our analysis underscores effectiveness of SISIM in reducing initial data requirements without necessitating Gaussian transformation, ensuring broad applicability, while T-PROGS proves suitable in environments characterized by prevalent lateral accumulation. This study employed the fractal method and wavelet analysis to investigate coastal zone groundwater fluctuations. Daily groundwater fluctuations displayed a distinct periodic variation, indicating a biased stochastic traveling pattern and potential short-term predictability. Notably, time-frequency characteristics exhibited a strong correlation with tidal fluctuations at smaller scales (12-24 hours). Additionally, the study provides initial modeling insights into the impact of heterogeneity on groundwater fluctuations.

How to cite: Gong, K., Wen, Z., Li, Q., and Zhu, Q.: Geostatistical Stochastic Simulation of Hydraulic Conductivity and  Groundwater Dynamics Interpretation in an Alluvial-Marine Sedimentary System: A Case Study in Beihai City, China, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14513, https://doi.org/10.5194/egusphere-egu24-14513, 2024.