The 1970 Tonghai earthquake, which occurred on January 5, 1970, in Tonghai County, Yunnan Province, China, triggered a large number of landslides. Since the occurrence of the earthquake, there have been a huge number of research reports on the seismogenic structure and earthquake mechanism, but rare reports on the seismic landslides. As the largest earthquake recorded in the Qujiang fault zone, the study on the coseismic landslides triggered by this earthquake are of great significance to the prevention and mitigation of earthquake-induced landslides in this region. In this study, we established a coseismic landslide inventory for the VIII–X seismic intensity areas of the Ms 7.7 Tonghai earthquake, and conducted spatial analysis on the coseismic landslides, mainly having analyzed the effect of the topographic factors, geological factors, and seismic factors on the development of the coseismic landslides. To enhance the understanding of this earthquake, we converted the earthquake epicenter and magnitude with empirical formulas based on the distributions and areas of the coseismic landslides. Comparing with coseismic landslides in other earthquake-hit areas, we found the capability that this earthquake could induce landslides is low. This study provides a useful supplement to the global coseismic landslide inventories and could be the basic data for seismic landslide assessment in this earthquake-prone region.

County, Yunnan Province, China, with many induced landslides. In this study, the black-and-white KeyHole satellite images were downloaded before the earthquake on February 12 1969, and after the earthquake on March 17, 1970. Then based on the downloaded images, the visual interpretation of landslides in the earthquake intensity district with 8–10 degrees was carried out on the ArcGIS software platform. As a result, a landslide inventory composed of 640 landslides is established. The landslides are mainly distributed on both sides of the Qujiang River valley that developed along the seismogenic fault, Qujiang fault; the interpreted landslides are all large, with an area of 150–74387 m2. In addition, there are 384 landslides with an area of 1000–10000 m2, accounting for 60% of the total number of landslides. Affected by the quality of the images, the interpreted earthquake landslides are larger than those of the other earthquakes, such as the 2014 Ms 6.2 Ludian earthquake and the 2015 Ms 7.8 Nepal earthquake. The seismic landslide inventory obtained in this study can provide basic data for the follow-up research. The findings have substantial implications for earthquake and seismic landslide disaster prevention and mitigation in high-earthquake intensity locations.

2019年"利奇马"台风诱发了安徽省宁国市多处山体滑坡.为研究东南沿海地区台风暴雨滑坡的分布规律,以宁国市为例展开研究,基于降雨前后的Planet卫星影像,采用人工目视解译法在ArcGIS上获取滑坡分布.根据数字高程模型(DEM)、地质图及降雨数据提取高程、坡度、坡向、地层和降雨量共5个影响因子进行统计分析.研究结果表明:研究区面积3567 km2,解译滑坡414个,滑坡总面积1.42 km2,南部区域的滑坡点密度最大;在高程[300 m,600 m)、坡度[20°,30°)、东南坡向、地层为震旦系、降雨量[300 mm,350 mm)区间的滑坡数量最多.研究结果可为进一步研究东南地区降雨滑坡的易发性评价提供基础,也可为当地防灾减灾提供参考.

On August 10, 2019, due to the effect of a rainstorm caused by Super Typhoon Lekima, a landslide occurred in Shanzao Village, China. It blocked the Shanzao stream, forming a barrier lake, and then the barrier lake burst. This is a rare natural disaster chain of typhoon-rainstorm-landslide-barrier lake-flooding. This study was built on field surveys, satellite image interpretation, the digital elevation model (DEM), engineering geological analysis and empirical regression. The purpose was to reveal the characteristics and causes of the landslide, the features and formation process of the barrier lake and the dam break flooding discharge. The results show that the volume of the landslide deposit is approximately 2.4 × 105 m3. The burst mode of the landslide dam is overtopping, which took only 22 minutes from the formation of the landslide dam to its overtopping. The dam-break peak flow was 1353 m3/s, and the average velocity was 2.8–3.0 m/s. This study shows that the strongly weathered rock and soil slope has low strength and high permeability under the condition of heavy rainfall, which reminds us the high risk of landslides and the importance of accurate early warning of landslides under heavy rainfalls in densely populated areas of Southeast China, as well as the severity of the disaster chain of typhoon-rainstorm-landslide-barrier lake-flooding.

2018年9月6日,日本北海道地区发生Mw 6.6 级地震,地震触发了大量滑坡.基于福卫5卫星影像,在Google Earth平台上采用人工目视进行滑坡解译,把解译的滑坡导入ArcGIS,根据DEM和地质图在ArcGIS 上选择高程、坡度、坡向、地震烈度、地层、震中距6 个影响因子进行统计分析.研究结果表明:在 187 km2 的范围内,解译滑坡4 196个,滑坡总面积15.98 km2,LND为22.44个/km2,LAP为0.086;滑坡在高程130～180 m、坡度10°～20°、坡向120°～180°、地震烈度7度～7.5 度、地层N2sn、震中距10～12 km内分布数量最多,面积最大.

近年来,受自然气候条件变化影响,尤其在冰雪融水和降雨作用下,新疆的黄土区域极易发生滑坡灾害.选取新疆伊宁县某滑坡集中区域作为研究区,开展了一个滑坡的编录制图和滑坡空间分布分析工作.基于谷歌地球影像,在谷歌地球平台上采用人工目视进行滑坡解译,把解译的滑坡导入ArcGIS,根据DEM和地质图在ArcGIS上选择高程、坡度、坡向3个影响因子进行统计分析.研究结果表明:(1)在234.4 km2的范围内,解译滑坡4498个,滑坡总面积3.907 km2;(2)在高程1300～2100 m区间内、坡度10° ～30°区间内、坡向60° ～90°和90°～120°区间内滑坡分布数量最多,面积最大.研究结论可为新疆黄土滑坡防灾减灾提供参考,为进一步研究新疆黄土滑坡的空间分布规律和机理、危险性评价及预测提供基础.