Pre-disaster risk assessment of Linxia highway landslide using time-series InSAR and numerical simulation
During the construction of mountain roads,slope cutting activities may reduce the stability of the slope and increase the risk of landslide caused by external environment changes such as rainfall and earthquake.To address these issues,this paper proposes a quantitative risk assessment framework for highway landslides that integrates InSAR deformation observation and instability numerical simulation.The Lashagou landslide group from Linxia was selected as the study area,the Sentinel-1A images in this area from January 2021 to March 2023 were processed by SBAS-InSAR to evaluate the risk level of the landslide group through the deformation rate information.Subsequently,Massflow was utilized to simulate the potential spatial effects of L2 landslide instability in hazardous landslides.Finally,in conjunction with G310 highway traffic flow data,vehicle collision risk and resulting human injury risk were quantitatively assessed.The results indicate that the Lashagou landslide group remained active during the monitoring period with a maximum deformation rate along the LOS direction of-53 mm/a,suggesting a possibility of further instability.Following an L2 landslide failure,most debris is projected to accumulate on G310 highway with an expected maximum accumulation length of 304 m.Under this scenario,it is anticipated that 3.18 moving vehicles will be impacted by landslide failure leading to up to 14.31 casualties.By integrating pre-disaster landslide monitoring,simulation and evaluation processes,this study offers a viable approach for engineering management of landslides in mountainous areas which can contribute significantly towards disaster prevention and mitigation efforts.
万方数据
维普
