Relatively large regularization parameters cause low resolution of solution, and a small parameter can improve data fitting and enhance the accuracy of inversed water content distribution.

• 大正则化参数时反演分辨率低，而小正则化参数在保证数据拟合精度提高的同时，增加了模型的分辨率，能获得更可靠的含水量分布。