Examples Gallery
This gallery contains comprehensive examples demonstrating the capabilities of PyHydroGeophysX for integrating hydrological model outputs with geophysical forward modeling and inversion.
The examples are organized to show the complete workflow from loading hydrological model data to performing geophysical inversions:
Data Processing:
Ex_ERT_data_process.py: Loading, quality control, and exporting field ERT data from commercial instruments (E4D, Syscal, ABEM, etc.) using RESIPY integration
Basic Examples:
Ex_model_output.py: Loading and processing MODFLOW and ParFlow model outputs
Ex_ERT_workflow.py: Workflow for integrating hydrological model outputs with ERT forward modeling and inversion
Time-Lapse Analysis:
Ex_Time_lapse_measurement.py: Creating synthetic time-lapse ERT measurements
Ex_TL_inversion.py: Time-lapse ERT inversion techniques
Ex_structure_TLresinv.py: Structure-constrained time-lapse inversion
Seismic Methods:
EX_SRT_forward.py: Seismic refraction tomography (SRT) forward modeling
EX_SRT_inv.py: Seismic refraction tomography (SRT) inversion and analysis
Advanced Applications:
Ex_Structure_resinv.py: Structure-constrained resistivity inversion
Ex_MC_Hydro.py: Monte Carlo uncertainty quantification for water content estimation
Each example includes detailed comments and demonstrates best practices for watershed geophysical monitoring applications.
sphx_glr_auto_examples_smoke_test_workflows.py
Ex. Loading and Processing Hydrological Model Outputs
Ex. Seismic Refraction Tomography (SRT) Inversion and Interface Delineation
Ex. Structure-Constrained Time-Lapse Resistivity Inversion
Ex. TDEM Workflow: From Hydrological Models to EM Responses and Inversion
Ex. Seismic Refraction Tomography (SRT) Forward Modeling
Ex. Creating Synthetic Time-Lapse ERT Measurements
Ex. ERT Workflow: From Hydrological Models to ERT responses and Inversion
Ex. Monte Carlo Uncertainty Quantification for Hydrologyic Properties Estimation
sphx_glr_auto_examples_app_geophysics_workflow.py