Results 51 to 60 of about 240,251 (179)

Predicting Seismic Intensity Using Machine Learning With Ancillary Data: Evidence From Destructive Earthquakes in China

Engineering Reports, Volume 8, Issue 9, September 2026.
A machine learning framework integrating multisource seismic, social, and geographic data accurately predicts kilometer‐scale seismic intensity, enabling rapid postearthquake damage assessment during data‐scarce “black‐box” periods. ABSTRACT Accurate and rapid assessment of seismic intensity is crucial for postearthquake emergency response.
Ma Yuan, Yu Jianming, Zhao Hui, Gong Huiyuan, Zhang Jianying   +4 more
wiley   +1 more source

TEC Prediction Using Cross‐Attention Spatiotemporal Feature Weighted BiConvLSTM and Improved Pre‐Earthquake Anomaly Detection

Space Weather, Volume 24, Issue 6, June 2026.
Abstract To address the complex spatiotemporal characteristics of ionospheric total electron content (TEC), a bidirectional convolutional long short‐term memory network with a dynamic cross‐attention mechanism for spatiotemporal feature weighting (CASF‐BiConvLSTM) is proposed and further combined with the sliding interquartile range (SIQR) method ...
Mengying Lin, Hongteng Ma, Xuefen Zhu, Gangyi Tu, Ang Li, Hao Pan   +5 more
wiley   +1 more source

Broadband Seismic Source Characterization Based on Composite Source Time Functions: A Case Study of the 2022 Luding Earthquake

Earth and Space Science, Volume 13, Issue 4, April 2026.
Abstract Obtaining broadband ground motion simulations consistent with observed records is essential for seismic modeling, and the key to achieving this lies in a physically reasonable source representation. Only a scientifically constrained broadband source can effectively generate broadband ground motions.
Wenjing Wang, Hong Zhou, Yanan Li, Weijin Xu   +3 more
wiley   +1 more source

FMLD: A Vertical Federated Learning Framework for Privacy‐Preserving Multimodal Landslide Detection

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Landslides are among the most severe global geohazards posing a significant threat to human life and infrastructure. To support landslide detection and prediction, various geohazard monitoring approaches have been developed, such as optical remote sensing imagery, light detection and ranging, and ground‐based sensors, generating vast volumes ...
Xiaochuan Tang, Zhong Lu, Xuanmei Fan, Xiaochuang Yan, Huailiang Li, Shui‐Hua Jiang, Sansar Raj Meena, Dongfen Li, Kushanav Bhuyan, Alessandro Novellino, Hongjun Li, Filippo Catani   +11 more
wiley   +1 more source

Coseismic Landslide Area Prediction Using Generalised Additive Model: A Case Study of the 2013 Minxian Earthquake

Geoscience Data Journal, Volume 13, Issue 1, January 2026.
Comparison between observed and predicted landslide areas in log scale. ABSTRACT This study aims to establish a regional model for predicting seismic landslide areas. Using the 2013 Minxian earthquake‐induced landslide database as the research foundation, mathematical statistics and GIS techniques were applied to predict landslide areas through the ...
Xiaoyi Shao, Chong Xu, Siyuan Ma
wiley   +1 more source

Determination of most affected areas by earthquakes based on mobile signaling data: a case study of the 2022 Mw 6.6 Luding earthquake, China

Geomatics, Natural Hazards & Risk, 2023
Rapid determination of the most-affected areas after an earthquake can help with emergency relief efforts, which is also an essential part of postearthquake relief work. Mobile signaling data contains rich user information, which helps determine the most-
Xinxin Guo, Benyong Wei, Guiwu Su, Wenhua Qi, Tengfei Zhang   +4 more
doaj   +1 more source

Impact of Earthquake on Rainfall Thresholds for Sustainable Geo-Hazard Warnings: A Case Study of Luding Earthquake

Sustainability
This study explores the impact of the 2022 Mw 6.8 Luding Earthquake on various geo-hazards and their corresponding rainfall thresholds. Focusing on the seismic intensity VI zone in Sichuan Province, China, we analyzed 1979 geo-hazard records and hourly precipitation data from 475 stations between 2010 and 2024. Empirical ID (intensity–duration) and AC (
Qun Zhang, Junfeng Li, Shengjie Jin, Yanhui Liu, Shikang Liu, Zhuo Wang, Lei Zhang, Zeyi Song   +7 more
openaire   +1 more source

Dynamic Multimodal Routing With Drones Under Communication Uncertainty in Emergency Logistics: A Hybrid Reinforcement Learning–Heuristic Approach

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper investigates a dynamic multimodal routing problem with drones under communication uncertainty in emergency logistics. A hybrid approach integrating reinforcement learning and adaptive large neighbourhood search within an event‐triggered framework is developed to dynamically optimise routing decisions.
Yimeng Zhang, Shuyang Zhu, Yixuan Li, Xiangrong Tan, Zhiyuan Liu, Hua Tang, Mi Gan, Xiaobo Liu, Ruixue Ai   +8 more
wiley   +1 more source

Mechanical Characteristics and Collapse Process Simulation of Tunnel Under Seismic Loading During Construction: A Case Study of a Deep Diversion Tunnel in Southwest China

Advances in Civil Engineering, Volume 2026, Issue 1, 2026.
To investigate the collapse mechanisms of diversion tunnels during construction under seismic loading, a coupled continuum‐discrete numerical simulation method was employed. Before seismic excitation, the initial support system was generally stable, with minor damage observed at the arch foot and arch crown (damage coefficient <0.033).
Bin Gan, Peiru Li, Gang Tang, Ruilang Cao, Yu Wei, Tengfei Nian   +5 more
wiley   +1 more source

Traditional and modified Newmark displacement methods after the 2022 Ms 6.8 Luding earthquake (Eastern Tibetan Plateau) [PDF]

peer reviewedThe Newmark displacement (ND) method, which reproduces the interactions between waves, solids, and fluids during an earthquake, has experienced numerous modifications.
Braun, Anika, Xu, Qiang, Wang, Xin, Fan, Xuanmei, Djukem, Danny Love Wamba, Chevalier, Marie-Luce, Zhang, Xinxin, Fang, Chengyong, Havenith, Hans-Balder, Dai, Lanxin, Gorum, Tolga   +10 more
core   +2 more sources