RENMAO YUAN

Dr. RENMAO YUAN

1. Institute of Geology, China Earthquake Administration, Beijing 100029, China
+1

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 April 2014 in Landslides
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Journal Article
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RENMAO YUANRENMAO YUAN
RENMAO YUAN
CTChao-Lung Tang
Chao-Lung Tang
DQDeng Qinghai
Deng Qinghai

11 January 2016 in Frontiers of Earth Science
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Journal Article
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RENMAO YUANRENMAO YUAN
RENMAO YUAN
DQDeng Qinghai
Deng Qinghai
DCDickson Cunningham
Dickson Cunningham
ZHZhujun Han
Zhujun Han
DZDongli Zhang
Dongli Zhang
BZBingliang Zhang
Bingliang Zhang

23 July 2024 in Landslides
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Journal Article
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DCDonghui Chen
Donghui Chen
RENMAO YUANRENMAO YUAN
RENMAO YUAN
PWPing Wang
Ping Wang
YTYingying Tian
Yingying Tian
GHGang Hu
Gang Hu
SMSiyuan Ma
Siyuan Ma

30 September 2023 in Landslides
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Journal Article
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SMSiyuan Ma
Siyuan Ma
YLYao Lu
Yao Lu
CXChaoxu Xia
Chaoxu Xia
XLXuemei Liu
Xuemei Liu
WQWenhua Qi
Wenhua Qi
RENMAO YUANRENMAO YUAN
RENMAO YUAN

13 May 2023 in Landslides
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Journal Article
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XLXuemei Liu
Xuemei Liu
PSPengcheng Su
Pengcheng Su
YLYong Li
Yong Li
ZXZhaoxu Xia
Zhaoxu Xia
SMSiyuan Ma
Siyuan Ma
RENMAO YUANRENMAO YUAN
RENMAO YUAN

10 July 2018 in Bulletin of the Seismological Society of America
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JJJin Jia‐Liang
Jin Jia‐Liang
WYWang Yin
Wang Yin
GDGao Dan
Gao Dan
RENMAO YUANRENMAO YUAN
RENMAO YUAN
XYXiaoyan Yang
Xiaoyan Yang
In this article, the authors aim to establish the suitable Newmark displacement models of the coseismic displacements for southwest China, where the 2008 Wenchuan earthquake, the 2013 Lushan earthquake, and the 2017 Jiuzhaigou earthquake occurred. Based on the 33 strong ground motion data recordings during the 2008 Mw 7.9 Wenchuan earthquake, the Newmark displacement (Dn) value, the critical acceleration (Ac), and the Arias intensity (IA) value of the recordings are used for relationship analysis. The new parameters are then fitted to southwest China based on the functional form of Jibson’s models and their modified models. Results show that the models have higher correlation coefficients and smaller estimation errors. These are then tested by the strong ground motion data of the 2013 Mw 6.6 Lushan earthquake, indicating that the models with new fitting parameters are suitable for the southwest area of China. According to comparison analysis, one of the models with newly fitted parameters has the smallest error and the maximum correlation coefficient: logDn=0.465logIA+12.896AclogIA−22.201Ac+2.092±0.148(R2=0.92), being recommended for the southwest area of China. Subsequently, this model is used to evaluate the landslide hazards induced by the 2017 Ms 7.0 Jiuzhaigou earthquake, the results of which are consistent with the survey results. Therefore, the recommended model is useful for the future earthquake hazard assessment in the southwest area of China. The results presented in this article also suggest that assessment models need to be refitted with new parameters for estimating the coseismic displacement in a specific region, which will get better estimated values.