During the Maduo Earthquake (MDEq) (Mw 7.3), which occurred on 22 May 2021 in the northern Tibetan Plateau, coseismic surface ruptures, numerous land liquefaction instances and landslides, were triggered along the NW strike of the?~?160 km long aftershock zone. We performed three times emergency field surveys (22 May to 3 Jun., 28 Jun. to 14 Jul., 8–24 Oct., 2021) with unmanned aerial vehicle (UAV) orthophoto and digital elevation model (DEM) data. We found a discontinuous coseismic surface rupture zone along with loose sediment, severe sand liquefaction regions with an area of?~?103 km2 along the Yellow River and its tributaries. More than 23 coseismic landslides had been checked with relative small-size volume for limited local terrain relief. Three of those landslides had relatively small source areas and volumes and affected relatively large areas. We identified numerous tension cracks in and around the trailing edges, which could trigger more landslides in the future. Further detailed research into the occurrence of these three landslides will reveal the failure mechanism of the earthquake (shaking)–freeze–thaw effect–rainfall disaster chain. Here, we present basic information to aid the overall understanding of the preliminary characteristics of coseismic earthquake-triggered landslides, sand liquefaction, and possible follow-up disasters.
Acta Geotechnica - The significant influence of transverse isotropy on mechanical behaviours of soil has long been recognised, but it is still difficult to capture well under 3D stress conditions.... 相似文献
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Along with the continuous urbanization process, massive riparian buffers are developed to satisfy the increasing demands for flood protection and economic growth. Such changes of land use types and landscape patterns pose a significant challenge to the protection of the eco-system of urban rivers. This research concentrates on revealing the potential relation between the water quality of the urban river and land characteristics including land use types and landscape patterns of the riparian area and discusses if the relationship varies with spatial scales. The study area of this research are the 800 m riparian buffer of the six river water quality monitoring sections along Huangpu River. Based on the long-term monthly collection data of six monitoring points in Huangpu River, Shanghai, China, and the land use data of 100 m downstream of 1 km upstream of the monitoring point. Using landscape indicators, GIS spatial analysis, and statistical methods, the responses of land use and landscape patterns to water quality in different scales are obtained. Results show that: (1) Urban Land (UL) and Agricultural Land (AL) have an enormous negative contribution to each buffer, which is the primary non-point source pollution and influencing factor. (2) The active contribution of Wetland (WL) and Forestry Land (FL) is the most significant in the small range buffer of 0–200 m. (3) The negative effect of Industrial Land (IL) on water quality is only significant in the small buffer. (4) The effect of landscape pattern on water quality is more significant on the large spatial scale than the small scale. At the same time, this paper extends the conclusion to discuss the land use of the 800 m buffer zone of Huang River by using point to the area, proving that the research result is helpful for the political decision of urban management and provides suggestions for the land optimization of riparian buffers.
