Results 61 to 70 of about 1,204 (198)

Optimizing the Collaborative Supply Scheduling of Renewable Energy in the Tourism Industry Chain Using Graph Neural Networks

Engineering Reports, Volume 8, Issue 6, June 2026.
Typical configuration of Huangshan Scenic Area. ABSTRACT To cope with the supply and demand imbalance challenge caused by the surge in energy demand in tourism‐intensive areas and the high volatility of renewable energy, this paper aims to construct a collaborative scheduling optimization model based on graph neural networks (GNNs). The model abstracts
Lixia Wang
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

Sediment Source Fingerprinting and Its Control Strategies of the Lakes in Jiuzhaigou World Natural Heritage Site

, 2022
Reliable quantitative information regarding sediment sources is essential for target mitigation, particularly in settings with a large number of loose provenances caused by earth disasters.
Xianchenghao Jiang, Xiaoxue Shen, Ruili Li, Jie Du, Guoyu Qiu   +4 more
core   +1 more source

Suspended Sediment Pulses and Sediment‐Discharge Relationships in Earthquake‐Affected Rivers Along the Tibetan Plateau Margins

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract Large earthquakes along the Tibetan Plateau margins trigger widespread landslides that deliver substantial sediment to river networks, driving intense and long‐lasting landscape change. However, identifying and modeling the fluvial sediment responses to large earthquakes remains challenging.
Ya Zhou, Lei Huang, Rui Wang, Maoyin Hu, Vijay P. Singh, Hongwei Fang   +5 more
wiley   +1 more source

Perceived parental depression and PTSD in adolescents: mediating roles of attachment insecurity and coping style

European Journal of Psychotraumatology, 2023
Background: Earthquakes can cause negative psychological states in adolescents and their parents, such as post-traumatic stress disorder (PTSD) and depression.
Yingying Ye, Yifan Li, Rong Ma, Junjun Qi, Xiao Zhou   +4 more
doaj   +1 more source

Effects of environmental factors on genetic diversity in the endangered Notopterygium incisum from the southeastern Qinghai–Tibetan Plateau

Plant Species Biology, Volume 41, Issue 2, March 2026.
This study focuses on 38 populations of Notopterygium incisum from its main distribution areas (Sichuan Province, Gansu Province, and Qinghai Province), conducting molecular genetic diversity analysis and investigating the correlations between genetic variation and climatic variables, geographical distribution, and elevation gradients.
Jinqiu Liao, Ao Luo, Rui Zeng, Xianhong Feng, Yuanyuan Jiang, Xuexue Deng, Li Zhang, Ruiwu Yang   +7 more
wiley   +1 more source

Influence of mosses on the weathering features of sandstone and carbonate rocks in the subalpine region of western Sichuan

Carsologica Sinica
Sichuan Province is located in the Southwest China, with its western mountainous area serving as a transitional zone between the Qinghai-Xizang Plateau and the Sichuan Basin.
Han LIU, Wanqiu PU, Panpan WANG, Chengmin HUANG   +3 more
doaj   +1 more source

ESTIMATION OF STATIC COULOMB STRESS CHANGE AND STRONG MOTION SIMULATION FOR JIUZHAIGOU 7.0 EARTHQUAKE BASE ON SENTINEL-1 INSAR DATA INVERSION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
On August 8, 2017, an earthquake of M 7.0 occurred at Jiuzhaigou. Based on the Sentinel-1 satellite InSAR data, we obtained coseismic deformation field and inverted the source slip model.
W. H. Shen, Y. Luo, Q. S. Jiao
doaj   +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

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

Earth, Planets and Space, 2018
Abstract 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. The earthquake event was recorded by 66 strong ground-motion stations operated by the China Strong Motion Networks Center.
JiZe Sun, YanXiang Yu, YiQiong Li
openaire   +2 more sources