进行翻译：声学假设忽略了弹性效应导致的P波能量的损耗。这意味着相比于弹性假设相同大小的模型扰动在声学假设下产生了更强的波形扰动。因此AFWI在只对模型进行了少量的更新就使得波形幅值与实际数据相接近从而使得迭代提取停止在错误的位置。相较于此基于弹性假设的EAFWI很好地矫正了这一问题。

The acoustic assumption neglects the energy loss of P-waves caused by elastic effects. This means that compared to the elastic assumption, the same size of model perturbation generates stronger waveform perturbations under the acoustic assumption. Therefore, AFWI can stop iteration at the wrong location by only updating the model with a small amount of data, making the waveform amplitude close to the actual data. In contrast, EAFWI based on the elastic assumption corrects this problem well.