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Estimation of Landslides and Road Capacity after August 8, 2017, MS7.0 Jiuzhaigou Earthquake Using High-Resolution Remote Sensing Images

open access: yesAdvances in Civil Engineering, 2020
On 8 August 2017, Jiuzhaigou earthquake, magnitude 7.0, hit northern Sichuan, China. As the earthquake-stricken area is located in the mountainous region with forest and low residential density, the main damage is to vegetation and roads by earthquake ...
Xiao Fu   +7 more
doaj   +2 more sources

Which velocity model is more suitable for the 2017 MS7.0 Jiuzhaigou earthquake?

open access: yesEarth and Planetary Physics, 2018
On Aug. 8, 2017, an MS7.0 earthquake struck Jiuzhaigou, a county of Sichuan province, China. A number of investigations and studies have been conducted, some of which involved local velocity models.
LiSheng Xu, Xu Zhang, ChunLai Li
doaj   +2 more sources

Comprehensive evaluation of natural landscapes before and after earthquake based on GST-FAHP-GIS analytical method: A case study of Jiuzhaigou Nature Reserve, China

open access: yesEcological Indicators, 2023
The Jiuzhaigou earthquake caused severe damage to its natural landscape. The seismic-induced changes in landscapes represent a complex and diverse process. In order to creatively assess the extent of earthquake-induced landscape destruction and study the
Xiyu Luo   +4 more
doaj   +2 more sources

Earthquake-triggered landslides affecting a UNESCO Natural Site: the 2017 Jiuzhaigou Earthquake in the World National Park, China

open access: yesJournal of Mountain Science, 2018
On August 8th, 2017, an Ms 7.0 magnitude earthquake occurred in Jiuzhaigou County, northern Sichuan Province, China. The Jiuzhaigou Valley World National Park was the most affected area due to the epicentre being located in the scenic area of the park. Understanding the distribution characteristics of landslides triggered by earthquakes to help protect
Jiao Wang   +5 more
openaire   +3 more sources

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

open access: yesRemote 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   +2 more sources

Coseismic Deformation and Fault Inversion of the 2017 Jiuzhaigou Ms 7.0 Earthquake: Constraints from Steerable Pyramid and InSAR Observations

open access: yesRemote Sensing, 2022
The 8 August 2017 Ms 7.0 Jiuzhaigou earthquake was generated in the transition zone between the Tazang fault, Huya fault, and Minjiang fault, all being part of the East Kunlun fault system.
Wenshu Peng, Xuri Huang, Zegen Wang
doaj   +2 more sources

Research on the application of mobile phone location signal data in earthquake emergency work: A case study of Jiuzhaigou earthquake. [PDF]

open access: yesPLoS One, 2019
After an earthquake, the important task of emergency rescue work is to minimize casualties, but due to the suddenness of earthquake disasters, it is difficult to obtain enough disaster information immediately, especially personnel distribution and movement information.
Chaoxu X   +4 more
europepmc   +5 more sources

Thermal Infrared and Ionospheric Anomalies of the 2017 Mw6.5 Jiuzhaigou Earthquake [PDF]

open access: yesRemote Sensing, 2020
Taking the 2017 Mw6.5 Jiuzhaigou earthquake as a case study, ionospheric disturbances (i.e., total electron content and TEC) and thermal infrared (TIR) anomalies were simultaneously investigated. The characteristics of the temperature of brightness blackbody (TBB), medium-wave infrared brightness (MIB), and outgoing longwave radiation (OLR) were ...
Zhong, Meijiao   +5 more
openaire   +3 more sources

Inversion of the Slip Distribution of the 2017 Ms7.0 Jiuzhaigou Earthquake From InSAR [PDF]

open access: yesRemote Sensing, 2020
Abstract On 8 August 2017, an Ms 7.0 earthquake occurred on a buried fault extending to the north of the Huya fault. Based on the coseismic deformation field obtained from Interferometric Synthetic Aperture Radar (InSAR) data and a series of finite fault model tests, we proposed a brand new two-fault model composed of a main fault and a ...
Xiongwei Tang   +5 more
openaire   +5 more sources

A spatial evaluation method for earthquake disaster using optimized BP neural network model

open access: yesGeomatics, Natural Hazards & Risk, 2023
Rapid spatial evaluation of seismic disaster after earthquake occurrence is required in disaster emergency rescue management, because of its importance in decreasing casualties and property losses. Among many categories of seismic disaster, evaluation of
Hanxu Zhou   +3 more
doaj   +1 more source

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