Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Xiaoyi Shao"'
Autor:
Liye Feng, Chong Xu, Yingying Tian, Lei Li, Jingjing Sun, Yuandong Huang, Peng Wang, Xuewei Zhang, Tao Li, Wentao Yang, Siyuan Ma, Xiaoyi Shao, Jixiang Xu, Jingyu Chen
Publikováno v:
Geoscience Data Journal, Vol 11, Iss 4, Pp 725-741 (2024)
Abstract The Qinling Mountains in China frequently experience geological disasters, with large‐scale landslides being particularly prominent, causing severe economic losses to the local area. To gain a comprehensive understanding of the geological
Externí odkaz:
https://doaj.org/article/cdbe04dbec034933a7a696831a0f8e6d
Autor:
Sen Zhang, Chong Xu, Zhenjiang Meng, Tao Li, Chao Li, Yuandong Huang, Xiaoyi Shao, Liye Feng, Penghan Luo, Changyou Luo
Publikováno v:
Land, Vol 13, Iss 10, p 1580 (2024)
The Baota District of Yan’an City, located in the Loess Plateau, is an important patriotic education base in China. The region’s fragile geological environment and frequent geological disasters pose significant threats to the production and livel
Externí odkaz:
https://doaj.org/article/28c60c974f1d41a1ba2a329dbf315ae6
Publikováno v:
Geoscience Letters, Vol 10, Iss 1, Pp 1-17 (2023)
Abstract The purpose of this work is to carry out seismically induced landslide probabilistic hazard mapping for future seismic scenarios of Aba Prefecture and Chengdu Plain region, Sichuan Province, China. Nine earthquake events that occurred in the
Externí odkaz:
https://doaj.org/article/8b2238b324394ae9929be9898f06e9d4
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2861 (2024)
On 5 September 2022, a Ms 6.8 earthquake struck Luding County, Ganzi Tibetan Autonomous Prefecture, Sichuan Province, China. This seismic event triggered over 16,000 landslides and caused serious casualties and infrastructure damages. The aim of this
Externí odkaz:
https://doaj.org/article/f4797508b1a84a16a0558dd52f7a05db
Publikováno v:
Heliyon, Vol 10, Iss 2, Pp e24787- (2024)
On August 8, 2017, a magnitude Mw6.5 (Ms7.0) earthquake occurred in Jiuzhaigou County, Aba Prefecture, in the northern part of Sichuan Province, China, with a focal depth of 20 km and an epicenter located at (33.2°N, 103.8°E). Due to the significan
Externí odkaz:
https://doaj.org/article/e7821a1e93d64dd8b52262112457b571
Publikováno v:
Forests, Vol 15, Iss 4, p 678 (2024)
Efficient analysis of non-susceptibility to landslides targets regions with minimal or zero landslide probability, thereby obviating the need to estimate the likelihood for low-susceptibility zones. This study assesses the effectiveness of the quanti
Externí odkaz:
https://doaj.org/article/43d3128833814e4786bb7678e8a2a49c
Autor:
Zikang Xiao, Chong Xu, Yuandong Huang, Xiangli He, Xiaoyi Shao, Zhaoning Chen, Chenchen Xie, Tao Li, Xiwei Xu
Publikováno v:
Geoenvironmental Disasters, Vol 10, Iss 1, Pp 1-15 (2023)
Abstract Background On September 5, 2022, an Ms 6.8 earthquake occurred in Luding County, Ganzi Tibetan Autonomous Prefecture, Sichuan, China. The casualties and economic losses caused by the earthquake are huge. Most of the landslides triggered by t
Externí odkaz:
https://doaj.org/article/01a266632c9549e5b95ed4b5e949e70a
Autor:
Xiaoyi Shao, Chong Xu, Peng Wang, Lei Li, Xiangli He, Zhaoning Chen, Yuandong Huang, Xiwei Xu
Publikováno v:
Natural Hazards Research, Vol 2, Iss 4, Pp 269-272 (2022)
The June 10, 2022 Ms5.8, Ms6.0 and Ms5.2 earthquake swarm of Maerkang, Sichuan, China has triggered a lot of landslides. The primary purpose of this paper is to prepare a detailed coseismic landslides inventory and ancient landslide inventory in the
Externí odkaz:
https://doaj.org/article/d951624605294a29a2e4020d8c6cb2ff
Autor:
Xiaoyi Shao, Chong Xu
Publikováno v:
Natural Hazards Research, Vol 2, Iss 3, Pp 172-182 (2022)
Earthquake-induced landslides (EQL) can take a heavy toll on people's life and properties, thus attracting extensive attention of the geosciences community. Carrying out earthquake-induced landslide susceptibility assessment (EQLSA) is of great signi
Externí odkaz:
https://doaj.org/article/bdc27be15274444983723b1a3d204fbc
Publikováno v:
Applied Sciences, Vol 14, Iss 3, p 1079 (2024)
The utilization of the Monte Carlo method in conjunction with probabilistic seismic hazard analysis (PSHA) constitutes a compelling avenue for exploration. This approach presents itself as an efficient and adaptable alternative to conventional PSHA,
Externí odkaz:
https://doaj.org/article/128b6982dc254d88aaa94db40276be0e