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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地质与地球物理研究... [69]
沈阳自动化研究所 [27]
金属研究所 [25]
地理科学与资源研究... [19]
武汉岩土力学研究所 [17]
成都山地灾害与环境... [14]
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期刊论文 [240]
会议论文 [21]
专利 [9]
学位论文 [2]
发表日期
2019 [272]
学科主题
Animal Sci... [1]
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Be-10 dating and seismic origin of Luanshibao rock avalanche in SE Tibetan Plateau and implications on Litang active fault
期刊论文
OAI收割
LANDSLIDES, 2019, 页码: 14
作者:
Zeng, Qingli
;
Yuan, Guangxiang
;
Davies, Timothy
;
Xu, Bing
;
Wei, Rongqiang
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/05/19
Earthquake-induced landslide
Be-10 exposure age
Landslide dating
Maoya basin
Litang active fault
Multi-stage exhumation history of the West Kunlun orogen and the amalgamation of the Tibetan Plateau
期刊论文
OAI收割
EARTH AND PLANETARY SCIENCE LETTERS, 2019, 卷号: 528, 页码: 14
作者:
Li, Guangwei
;
Sandiford, Mike
;
Fang, Aimin
;
Kohn, Barry
;
Sandiford, Dan
  |  
收藏
  |  
浏览/下载:83/0
  |  
提交时间:2020/05/18
exhumation
low temperature thermochronology
West Kunlun
Tibetan Plateau
An Ensemble Convolutional Neural Networks for Bearing Fault Diagnosis Using Multi-Sensor Data
期刊论文
OAI收割
Sensors, 2019, 卷号: 19, 期号: 23, 页码: 5300
作者:
Yang Liu(刘洋)
;
Xunshi Yan
;
Zhang CA(张陈安)
;
Wen Liu (刘文)
;
Liu Y(刘洋)
  |  
收藏
  |  
浏览/下载:93/0
  |  
提交时间:2020/01/02
Rotating Machinery
Fault Diagnosis
Multi-sensor Fusion
Convolutional Neural Network
Ensemble Model
Reconciling the stratigraphy and depositional history of the Lycian orogen-top basins, SW Anatolia
期刊论文
OAI收割
PALAEOBIODIVERSITY AND PALAEOENVIRONMENTS, 2019, 卷号: 99, 期号: 4, 页码: 551-570
作者:
Alcicek, M. Cihat
;
Mayda, Serdar
;
ten Veen, Johan H.
;
Boulton, Sarah J.
;
Neubauer, Thomas A.
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/09/15
Correlation
Synchronicity
Palaeoenvironments
Mammal
Post-orogeny
Taurides
An improved method for detecting BeiDou signal-in-space anomalies from precise ephemerides
期刊论文
OAI收割
ACTA GEODAETICA ET GEOPHYSICA, 2019, 卷号: 54, 期号: 4, 页码: 567-581
作者:
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2020/11/09
BeiDou
Signal-in-space anomaly
Anomaly detection
Clock anomaly
Orbit anomaly
Low-velocity layers in the northwestern margin of the South China Sea: Evidence from receiver functions of ocean-bottom seismometer data
期刊论文
OAI收割
JOURNAL OF ASIAN EARTH SCIENCES, 2019, 卷号: 186, 页码: 10
作者:
Huang, Haibo
;
Qiu, Xuelin
;
Zhang, Jiazheng
;
Hao, Tianyao
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2020/05/19
Low-velocity layer
Shearing structure
Magmatic underplating
Receiver function
Ocean bottom seismometer
South China Sea
Hydrogeochemistry and geothermometry of the carbonate-evaporite aquifers controlled by deep-seated faults using major ions and environmental isotopes
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2019, 卷号: 579, 页码: 16
作者:
Yang, Pingheng
;
Luo, Dan
;
Hong, Aihua
;
Ham, Brian
;
Xie, Shiyou
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/05/18
Thermal water
Carbonate rocks
Isotopes
Fault
Paleo-recharge
Southeast Chongqing in China
Dynamic Accretion Beneath a Slow-Spreading Ridge Segment: IODP Hole 1473A and the Atlantis Bank Oceanic Core Complex
期刊论文
OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2019, 卷号: 124, 期号: 12, 页码: 12631-12659
作者:
Dick, H. J. B.
;
MacLeod, C. J.
;
Blum, P.
;
Abe, N.
;
Blackman, D. K.
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2020/05/18
Local structural and geomorphological controls on landsliding at the Leigu restraining bend of the Beichuan-Yingxiu fault system during the 2008 M-w 7.9 Wenchuan earthquake
期刊论文
OAI收割
LANDSLIDES, 2019, 卷号: 16, 期号: 12, 页码: 2485-2498
作者:
Yuan, Renmao
;
Wang, Ying
;
Jin, Jialiang
;
Cunningham, Dickson
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/05/19
2008 Wenchuan earthquake
Leigu landslide
Longmenshan
Restraining bend
Beichuan fault
The role of active faults and sliding mechanism analysis of the 2017 Maoxian postseismic landslide in Sichuan, China
期刊论文
OAI收割
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2019, 卷号: 78, 期号: 8, 页码: 5635-5651
作者:
Shao, Chongjian
;
Li, Yong
;
Lan, Hengxing
;
Li, Pengyu
;
Zhou, Rongjun
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2020/05/19
Maoxian postseismic landslide
Sliding mechanism
Role of active faults
Fault combination model