Results 41 to 50 of about 3,783 (144)

A Graph–Transformer Method for Landslide Susceptibility Mapping

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Landslide susceptibility mapping (LSM) is of great significance for regional land resource planning and disaster prevention and reduction. The machine learning (ML) method has been widely used in the field of LSM. However, the existing LSM model fails to
Qing Zhang, Yi He, Yalei Zhang, Jiangang Lu, Lifeng Zhang, Tianbao Huo, Jiapeng Tang, Yumin Fang, Yunhao Zhang   +8 more
doaj   +1 more source

Geospatial Technologies in Crisis Response: Analyzing the 2024 Floods in Valencia, Spain

European Journal of Geography
On October 29, 2024, a cut-off low (DANA) caused the most catastrophic flooding in recent history in Spain and the Mediterranean region, in Valencia, resulting in 228 deaths, more than €13 billion in damages, and the disabling of more than 140,000 ...
Iván Franch-Pardo, Pau A. Fuster Puig, Artemia Cerdà   +2 more
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Urban meteorological drought comprehensive index based on a composite fuzzy matter element-moment estimation weighting model

iScience
Summary: Due to rapid urbanization and climate change, cities face hidden drought risks. A single drought index may inadequately reflect urban meteorological drought.
Xiangyang Zhang, Zening Wu, Huiliang Wang, Chentao He, Fengyi Zhang, Yihong Zhou   +5 more
doaj   +1 more source

Survey of computational intelligence as basis to big flood management: challenges, research directions and future work

Engineering Applications of Computational Fluid Mechanics, 2018
Flooding produces debris and waste including liquids, dead animal bodies and hazardous materials such as hospital waste. Debris causes serious threats to people’s health and can even block the roads used to give emergency aid, worsening the situation. To
Farnaz Fotovatikhah, Manuel Herrera, Shahaboddin Shamshirband, Kwok-wing Chau, Sina Faizollahzadeh Ardabili, Md. Jalil Piran   +5 more
doaj   +1 more source

Rapid risk assessment of loss of life in dammed lakes: A case study of the Shiping landslide in the Minjiang River Basin

Zhongguo dizhi zaihai yu fangzhi xuebao
Dammed lakes are characterized by suddenness,high impact and wide range of influence, which seriously threaten the lives and properties of people downstream.
Liping LI, Jiankang LIU, Xiaolan HAN, Hengxiang ZHANG, Zheyuan SONG, Wanyu ZHAO   +5 more
doaj   +1 more source

Forecasting of Local Lightning Using Spatial–Channel-Enhanced Recurrent Convolutional Neural Network

Atmosphere
Lightning is a hazardous weather phenomenon, characterized by sudden occurrences and complex local distributions. It poses significant challenges for accurate forecasting, which is crucial for public safety and economic stability.
Wei Zhou, Jinliang Li, Hongjie Wang, Donglai Zhang, Xupeng Wang   +4 more
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Damavand Earthquake of 2020 the Mainshock or an Alarm for Disaster for the Capital of Iran

American Journal of Engineering and Applied Sciences, 2022
Milad Baftipour, Hadi Jarahi, Gulten Polat, Sedigheh Seifilaleh   +3 more
openaire   +1 more source

Application of IoT technology in the prevention of geological hazard

物联网学报, 2018
A system of on-line monitoring,warning,command and dispatch of geological hazard based on the IoT was presented,which was based on the practice of the China Mobile IoT Company on-line monitoring and warning project of geological hazard,and the preventing
Hui QIAO, Tao WANG, Zhiyuan XIE
doaj   +2 more sources

Coal burst spatio-temporal prediction method based on bidirectional long short-term memory network

International Journal of Coal Science & Technology
The increasingly severe state of coal burst disaster has emerged as a critical factor constraining coal mine safety production, and it has become a challenging task to enhance the accuracy of coal burst disaster prediction.
Xu Yang, Yapeng Liu, Anye Cao, Yaoqi Liu, Changbin Wang, Weiwei Zhao, Qiang Niu   +6 more
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Attention-Guided Generative Adversarial Network for False Alarm-Resistant Change Detection in Remote Sensing Orthophotos

Remote Sensing
Orthophoto change detection is used to find real land cover changes in urban monitoring, disaster assessment, and environmental management. In practice, however, multi-temporal orthophotos are rarely identical in geometry and radiometry even after ...
Yuxuan Hu, Zheng Ji, Wei Liu, Yichao Li
doaj   +1 more source