关键词: 2014年鲁甸地震, 同震滑坡, 滑坡编目, 滑坡数量, 滑坡面积

Abstract: Large earthquakes in mountainous areas often induce landslides, which always lead to serious disasters. A detailed and accurate inventory of earthquake-triggered landslides is an important basis for scientific research on co-seismic landslides in the future. High quality landslide inventory should cover the whole earthquake area, spanning all scales of co-seismic landslides that can be detected, accurate landslide locations and boundaries, polygon-based description of the true landslide shape, and separate individual landslides from contiguous landslides group. Building the inventory of landslides triggered by earthquake based on the traditional ground survey will take a long time and a large amount of manpower and material resources, while the remote sensing image, by virtue of its comprehensive coverage and economy, can make up for the shortcomings of the former. In this study, a new inventory of landslides triggered by the 2014 Ludian M_W6.2 earthquake is presented on the basis of visual interpretation of pre- and post-earthquake satellite images in very high resolution (~0.5m), and verified by selecting filed investigation. Results show the earthquake triggered at least 10^￣￣559 landslides around the epicenter. Statistics reveals a total horizontal projection area of 14.975km², an oval distribution area about 360km² and an estimated total volume of 1.24×10^8￣￣m³. The landslide number density, landslide area percentage, and landslide volume density are 29.6km^-2, 4.2%, 0.35m, respectively. Comparing with previous studies, the inventory of landslides triggered by earthquake in this study is much more detailed and accurate in spatial distribution and the boundaries of landslides are more exquisite, which is attributed to the image quality, resolution and coverage of remote sensing we used in this study and strict compliance with cataloging standards of co-seismic landslides inventory during interpretation. This study provides a detailed and complete inventory related to the 2014 Ludian earthquake, which is an important and essential data for subsequent landslide spatial distribution analyses and assessments. In addition, this study also reminds us that when we establish the inventory of landslides triggered by earthquake with satellite images, it is necessary to select better quality and high-resolution remote sensing images and strictly comply with the standard of co-seismic landslides inventory during interpretation, so as to establish a complete and detailed inventory of landslides triggered by earthquake that can be used to seismic geological disaster analysis and quantitative research.

Key words: the 2014 Ludian earthquake, coseismic landslides, landslide inventory, landslide number, landslide area