Data and scripts underlying the manuscript: Quantifying water content of a landfill with ERT data by Bayesian evidential learning

This file includes the scripts and data used in the manuscript: Quantifying water content of a landfill with ERT data by Bayesian evidential learning. The raw data are 4 ERT measurement datasets. We want to estimate the total water content of the subsurface based on these measurement data. The Python scripts included are used to implement the Bayesian evidential learning algorithm and make predictions. The users can use a1_XX.py to generate samples, use a2_XXX to perform the falsification, and use b_bnn to run the regression.