723
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Enhancing post-seismic landslide susceptibility modeling in China through a time-variant approach: a spatio-temporal analysis

, , , , &
Pages 4265-4295 | Received 10 May 2023, Accepted 28 Sep 2023, Published online: 18 Oct 2023
 

ABSTRACT

The pre-phase landslides will have a legacy effect on future landslides, changing the landslide susceptibility. This study attempts to establish a reasonable post-seismic landslide susceptibility model and analyze the spatio-temporal characteristics of landslide susceptibility in the Jiuzhaigou MS7.0 earthquake-struck region. Firstly, an integrated ‘space-ground’ monitoring technology is used to establish a multi-temporal post-seismic landslide dataset. Then, the buffer analysis method documents the spatio-temporal characteristics of post-seismic landslides. Thirdly, the distance is selected as an indicator to quantify the legacy effect. An improved time-variant model is established to evaluate the post-seismic landslide susceptibility. Finally, the spatio-temporal characteristics of landslide susceptibility are generalized, to sum up the changing law. Our results show that the post-seismic landslides are gradually closer to the pre-phase landslides with time. Distance is a critical factor in measuring the impact of pre-phase landslides on future landslides, which can improve the assessment accuracy of the post-seismic landslide susceptibility model. After a large seismic event, the correlation between landslide susceptibility and earthquakes gradually weakens. Post-seismic landslide prevention should focus on the pre-phase landslide expansion triggered by rainfall. Moreover, it should clean up the landslide deposits in time and reasonably dredge the debris flows to avoid secondary geological disasters.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available from the corresponding author, upon reasonable request.

Additional information

Funding

This work was supported by the Second Tibetan Plateau Scientific Expedition and Research Program [grant number STEP 2019QZKK0901]; Integrated ‘Space-Ground’ of Jiuzhai Valley World Natural Heritage Site [grant number E0H20501].