Inventory and Distribution Characteristics of Large-Scale Landslides in Baoji City, Shaanxi Province, China

被引:16
作者
Li, Lei [1 ,2 ,3 ]
Xu, Chong [1 ,2 ]
Xu, Xiwei [1 ,2 ]
Zhang, Zhongjian [3 ]
Cheng, Jia [1 ,2 ]
机构
[1] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China
[2] Minist Emergency Management China, Key Lab Compound & Chained Nat Hazards Dynam, Beijing 100085, Peoples R China
[3] China Univ Geosci Beijing, Sch Engn & Technol, Beijing 100083, Peoples R China
关键词
Loess Plateau; Baoji city; large landslide inventory; visual interpretation; Google Earth; GIS; spatial analysis; LOESS LANDSLIDES; DATABASE; EARTHQUAKE; SUSCEPTIBILITY; HAZARD; PLATEAU;
D O I
10.3390/ijgi11010010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Inventories of historical landslides play an important role in the assessment of natural hazards. In this study, we used high-resolution satellite imagery from Google Earth to interpret large landslides in Baoji city, Shaanxi Province on the southwestern edge of the Loess Plateau. Then, a comprehensive and detailed map of the landslide distribution in this area was prepared in conjunction with the historical literature, which includes 3440 landslides. On this basis, eight variables, including elevation, slope, aspect, slope position, distance to the fault, land cover, lithology and distance to the stream were selected to examine their influence on the landslides in the study area. Landslide number density (LND) and landslide area percentage (LAP) were used as evaluation indicators to analyze the spatial distribution characteristics of the landslides. The results show that most of the landslides are situated at elevations from 500 to 1400 m. The LND and LAP reach their peaks at slopes of 10-20 degrees. Slopes facing WNW and NW directions, and middle and lower slopes are more prone to sliding with higher LND and LAP. LND and LAP show a decreasing trend as the distance to the fault or stream increases, followed by a slow rise. Landslides occur primarily in the areas covered by crops. Regarding lithology, the regions covered by the Quaternary loess and Cretaceous gravels are the main areas where landslides occur. The results would be helpful for further understanding the developmental characteristics and spatial distribution of landslides on the Loess Plateau, and also provide a support to subsequent landslide susceptibility mapping in this region.
引用
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页数:21
相关论文
共 65 条
[11]   Landslide inventories: The essential part of seismic landslide hazard analyses [J].
Harp, Edwin L. ;
Keefer, David K. ;
Sato, Hiroshi P. ;
Yagi, Hiroshi .
ENGINEERING GEOLOGY, 2011, 122 (1-2) :9-21
[12]  
Hu S., 2019, THESIS N U XIAN CHIN
[13]   Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models [J].
Huang, Faming ;
Chen, Jiawu ;
Du, Zhen ;
Yao, Chi ;
Huang, Jinsong ;
Jiang, Qinghui ;
Chang, Zhilu ;
Li, Shu .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (06)
[14]   Pre-2014 mudslides at Oso revealed by InSAR and multi-source DEM analysis [J].
Kim, Jin-Woo ;
Lu, Zhong ;
Qu, Feifei ;
Hu, Xie .
GEOMATICS NATURAL HAZARDS & RISK, 2015, 6 (03) :184-194
[15]   Spatial and temporal analysis of a global landslide catalog [J].
Kirschbaum, Dalia ;
Stanley, Thomas ;
Zhou, Yaping .
GEOMORPHOLOGY, 2015, 249 :4-15
[16]  
Le Z., 1996, J GANSU SCI, V8, P123
[17]  
[雷祥义 LEI Xiangyi], 2006, [海洋地质与第四纪地质, Marine Geology & Quaternary Geology], V26, P113
[18]  
[孟静 Meng Jing], 2018, [地质力学学报, Journal of Geomechanics], V24, P78
[19]   National-Scale Landslide Susceptibility Mapping in Austria Using Fuzzy Best-Worst Multi-Criteria Decision-Making [J].
Moharrami, Meisam ;
Naboureh, Amin ;
Nachappa, Thimmaiah Gudiyangada ;
Ghorbanzadeh, Omid ;
Guan, Xudong ;
Blaschke, Thomas .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (06)
[20]  
Ohmori H., 1995, Z. Geomorphol, V101, P149