The distinguishing ability of typical overall indicators is becoming increasingly insufficient in the evaluation tasks of landslide displacement prediction models while the predicting ability of the models in the highrisk deformation periods has unexpectedly not been paid enough attention. Therefore, two supplemental evaluation indicators for landslide displacement prediction models, combined error of rapid displacement period (CERDP) and peak prediction error (PPE), along with their application process, are accordingly designed. To verify the feasibility and performance of the proposed supplemental evaluation indicators, a case study based on actual landslide monitoring data has been carried out. It can be concluded that the proposed supplemental evaluation indicators and application process are reasonable, feasible, and practical for effectively addressing the evaluation issues caused by insignificant differences in indicators, such as root mean squared error (RMSE), and are able to finally select an overall reliable model which performs best during rapid displacement periods and around peak deformation times, thus providing effective technical support for landslide risk management tasks.

landslide displacement prediction model, evaluation indicators, supplemental evaluation, rapid displacement period, peak displacement