Geomorphic understanding of loess landslides activity on the loess tableland:A case study in the Bailu Tableland, China

被引:12
|
作者
Zhang, Yi [1 ,5 ]
Wang, Aijie [1 ]
Ma, Kaiqi [1 ]
Zhang, Maosheng [2 ]
Meng, Xingmin [1 ]
Zhu, Kun [3 ]
Qiao, Dingding [4 ]
Liu, Tieming [3 ]
Li, Yuanxi [1 ]
Liu, Wangcai [1 ]
机构
[1] Lanzhou Univ, Technol & Innovat Ctr Environm Geol & Geohazards P, Sch Earth Sci, Lanzhou 730000, Peoples R China
[2] Xi An Jiao Tong Univ, Inst Disaster Prevent & Ecol Restorat, Xian 710049, Peoples R China
[3] Xi An Municipal Environm Monitoring Stn, Xian 710018, Peoples R China
[4] Shaanxi Tiandi Geol Co Ltd, Xian 710054, Peoples R China
[5] Lanzhou Univ, Sch Earth Sci, Lanzhou 730000, Peoples R China
基金
中国国家自然科学基金;
关键词
Loess tablelands; Landslides; InSAR; Investigation; Geomorphological evolution; HIGH-RESOLUTION TOPOGRAPHY; SPATIAL-DISTRIBUTION; FREQUENCY; REGIONS; PROBABILITY; INVENTORY; PLATEAU; TERRAIN; EROSION; VALLEY;
D O I
10.1016/j.catena.2023.107641
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Loess landslides, predominantly triggered by human activity and precipitation, dominate the geomorphological evolution of extensive regions of the Chinese Loess Plateau. Tablelands constitute a large proportion of this Loess Plateau. Although the area has a long history of human occupation, the Bailu Tableland is relatively poorly studied. Recent landslide events along the edge of the tableland significantly affected lives and livelihoods. To develop a better understanding of geomorphological evolution and develop appropriate hazard management and mitigation strategies, we characterized recent landslide activity and determined whether there are discernable trends in activity. We used Unmanned Aerial Vehicle (UAV) observations, Interferometric Synthetic Aperture Radar (InSAR) monitoring, and Digital Terrain Analysis (DTA) to observe significant differences in the position, shape, and magnitude between old and new landslides. The geomorphological evolution of the tableland was initially driven by large landslides, while current and future morphological development is more likely affected by small landslide events. We demonstrate the successful application of InSAR to investigate potential landslides in well-vegetated loess landscapes and show that loess landslides tend to develop on slopes with high relative relief and high topographic wetness associated with gully erosion. Unlike landslides induced by groundwater variations in the Heifangtai and South Jingyang tablelands, precipitation and infrastructure construction form the main controls on landslide activity in the Bailu Tableland. We propose two geomorphological evolution models that describe loess tableland recession caused by landslides. The results from this research contribute to a better understanding of the reactivation behavior of landslides along loess tablelands, provide a scientific foundation for landslide hazard and risk management, and supplement understanding of the geomorphological evolution of loess tableland landscapes.
引用
收藏
页数:18
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