Forecasting of Seasonal Groundwater Levels Using Geoelectrical Coupled Inversion
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This code repository accompanies the manuscript entitled "Forecasting of Seasonal Groundwater Levels Using Geoelectrical Coupled Inversion Based on the Ensemble Kalman Filter", which is currently submitted at the WRR. The project provides implementations of the model experiments, sensitivity analyses, and field applications presented in the manuscript. 1. wat_DC_modeltest1: This example is designed for model testing. A simplified one-dimensional soil model is constructed to simulate groundwater level fluctuations. The posterior results obtained from coupled, uncoupled, and non-seasonal frozen soil models are compared to evaluate the impact of coupling and seasonal processes. 2. sensitivity_test: This module focuses on model uncertainty analysis, including: Dual error distributions for coupled and uncoupled inversions, Parameter sensitivity analysis. The results are used to assess the robustness and uncertainty characteristics of the proposed inversion framework. 3. wat_DC_noname and wat_DC_SpearO: These folders contain field application examples for two monitoring sites. The datasets used in these case studies were obtained from previous studies by Pleasant et al. (2022, 2023). 4. processing: This module provides the ERT data pre-processing workflow for the Noname and SpearO sites. The script automatically reads and integrates ERT measurements to generate time-lapse profiles.Users may download the original datasets from the sources cited in the original publications and place them into the corresponding folders to run the processing scripts.Alternatively, data access may be requested from the authors of this study. 5. ERT_inv: This folder contains the ERT inversion profiles for the three study sites presented in the manuscript. How to Run the Code: Set a unified path for all subfunctions located in the WAT_function directory. Run the main script "wat_DC_modeltest1". Additional examples and analyses can be executed by running the corresponding scripts in each module. Contact: If you encounter any issues or have questions regarding data access or code usage, please contact the author: bailg19@mails.jlu.edu.cn



