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.

本数据集包含对应研究手稿《基于贝叶斯证据学习（Bayesian evidential learning）利用电阻率层析成像（Electrical Resistivity Tomography，ERT）数据量化填埋场含水率》所使用的脚本与数据。原始数据为4组ERT测量数据集，本研究基于上述实测数据估算地下介质总含水率。本数据集附带的Python脚本可用于实现贝叶斯证据学习算法并完成预测任务，用户可通过运行a1_XX.py生成样本，通过a2_XXX完成证伪检验，并通过b_bnn执行回归分析。