Results 91 to 100 of about 444 (157)

Characteristics of a Debris Flow Disaster and Its Mitigation Countermeasures in Zechawa Gully, Jiuzhaigou Valley, China

, 2020
On 8 August 2017, an Ms 7.0 earthquake struck Jiuzhaigou Valley, triggering abundant landslides and providing a huge source of material for potential debris flows.
Yong You, Kun-Ting Chen, Xing-Long Gong, Xiao-Qing Chen, Jian-Gang Chen, Jie Lang, Wan-Yu Zhao   +6 more
core   +1 more source

Stochastic finite-fault simulation of the 2017 Jiuzhaigou earthquake in China

, 2018
In this study, the strong ground motion of the Jiuzhaigou Ms7.0 earthquake, which occurred in northern Sichuan, China, was simulated based on the stochastic finite-fault method.
YiQiong Li, JiZe Sun, YanXiang Yu
core   +1 more source

Co-seismic deformation of the 2017Ms7.0 Jiuzhaigou Earthquake observed with GaoFen-3 interferometry

, 2020
The first application of GaoFen-3 synthetic aperture radar (SAR) interferometry to monitoring co-seismic deformation of an earthquake is presented in this paper. First, two GaoFen-3 SAR images spanning the 2017 surface-wave magnitude ((Formula presented.)
Zheng, Yueze, Jia, Qingren, Motagh, Mahdi, Yang, Honglei, Peng, Junhuan, Chen, Xue, Shi, Mengyao   +6 more
core   +1 more source

Automatic Detection of Forested Landslides: A Case Study in Jiuzhaigou County, China

, 2023
Landslide detection and distribution mapping are essential components of geohazard prevention. For the extremely difficult problem of automatic forested landslide detection, airborne remote sensing technologies, such as LiDAR and optical cameras, can ...
Chengyong Fang, Zihan Tu, Dongfen Li, Xiaochuan Tang, Yuanzhen Ju   +4 more
core   +1 more source

Health-related quality of life among survivors in minority area 2 years after Jiuzhaigou earthquake: A cross-sectional study. [PDF]

Medicine (Baltimore), 2021
Zhang X, Gao Y, Dai X, Zhou J, Yan L, Hou F, Yuan P, Wen J.   +7 more
europepmc   +1 more source

Case study on debris-flow hazard mitigation at a world natural heritage site, Jiuzhaigou Valley, Western China

Geomatics, Natural Hazards & Risk, 2020
The Jiuzhaigou earthquake on 8 August 2017, led to a significant increase in the amount of loose, solid material, which has been a rich source of debris-flow activity. In this paper, a comprehensive debris-flow prevention and control system consisting of
Wanyu Zhao, Yong You, Xiaoqing Chen, Jingfeng Liu, Jiangang Chen   +4 more
doaj   +1 more source

Distribution Pattern of Coseismic Landslides Triggered by the 2017 Jiuzhaigou Ms 7.0 Earthquake of China: Control of Seismic Landslide Susceptibility

, 2020
On 8 August 2017 an earthquake (MS7.0) occurred within Jiuzhaigou County, Northern Aba Prefecture, Sichuan Province, China, triggering 4834 landslides with an individual area greater than 7.8 m2 over a more than 400 km2 region.
Xiao-li Chen, Chun-guo Liu, Ming-ming Wang, Xin-jian Shan, Na-na Han   +4 more
core   +1 more source

Revisiting the 2017 Jiuzhaigou (Sichuan, China) Earthquake: Implications for Slip Inversions Based on InSAR Data

Remote Sensing
The 2017 Jiuzhaigou earthquake (Ms = 7.0) struck the eastern Tibetan Plateau and caused extensive concern. However, the reported slip models of this earthquake have distinct discrepancies and cannot provide a good fit for GPS data.
Zhengwen Sun, Yingwen Zhao
doaj   +1 more source

Analysis of borehole strain anomalies before the 2017 Jiuzhaigou M_s 7.0 earthquake based on a graph neural network [PDF]

Natural Hazards and Earth System Sciences
On 8 August 2017, a strong earthquake of magnitude 7.0 occurred in Jiuzhaigou, Sichuan Province, China. To assess pre-earthquake anomalies, we utilized variational mode decomposition to preprocess borehole strain observation data and combined them with a
C. Li, C. Li, C. Qin, C. Qin, J. Zhang, J. Zhang, Y. Duan, Y. Duan, C. Chi, C. Chi   +9 more
doaj   +1 more source

Near-Real Prediction of Earthquake-Triggered Landslides on the Southeastern Margin of the Tibetan Plateau

Remote Sensing
Earthquake-triggered landslides (ETLs) feature large quantities, extensive distributions, and enormous losses to human lives and critical infrastructures. Near-real spatial prediction of ETLs can rapidly predict the locations of coseismic landslides just
Aomei Zhang, Xianmin Wang, Chong Xu, Qiyuan Yang, Haixiang Guo, Dongdong Li   +5 more
doaj   +1 more source