Results 41 to 50 of about 921,432 (309)
An optimizing microseismic method for rock burst early warning based on mining production process
Deep Underground Science and Engineering, EarlyView.A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han +6 more
wiley +1 more source
Geomatics, Natural Hazards & RiskThe extraction of geological disaster entities and relations is a pivotal technology in the construction of a geological disaster knowledge graph. This is significant for enhancing disaster response efficiency and fortifying disaster management. Existing
Yijiang Zhao +4 more
doaj +1 more source
Deep Underground Science and Engineering, EarlyView.This study examines energy evolution in rock rupture via triaxial direct shear tests, exploring the impact of confining pressure and temperature on fracture surface randomness. A novel energy‐based brittleness index is proposed, validated experimentally, and compared with existing methods for reliability and accuracy.
Biao Wang +5 more
wiley +1 more source
Third Revolution Digital Technology in Disaster Early Warning [PDF]
, 2015 Networking societies with electronic based technologies can change social morphology, where key social structures and activities are organized around electronically processed information networks.
De Silva, Kushani +5 more
core +3 more sources
Deep Underground Science and Engineering, EarlyView.Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu +4 more
wiley +1 more source
The Geological Disaster Monitoring Method Based on GNSS [PDF]
Advances in Computer Science Research, 2016 In recent years, the frequent occurrence of geological disasters such as landslides, debris flow and so on causes huge losses to the lives and property of the people. To solve this problem, this paper proposes a geological disaster monitoring method based on GNSS (Global Navigation Satellite System), and the relative motion state of the monitoring ...
Wei Chen, Jian Jiang, Qi Cai
openaire +1 more source
Deep Underground Science and Engineering, EarlyView.Aluminum‐enhanced afterburning renders AE explosives more hazardous than conventional ones. Corrugated steel linings reduce far‐field AE blast overpressure by ~50% through wave reflection and dissipation. The developed model accurately predicts peak pressure (<10% error) and arrival time (<3% error), supporting protective design.
Zhen Wang +5 more
wiley +1 more source
Analysis of the “631” geological disaster early warning mode and case studies in Hunan Province
Zhongguo dizhi zaihai yu fangzhi xuebaoRainfall is the primary trigger for geological disasters, yet accurately predicting the timing and distribution of rainfall remains challenging, contributing to the high false alarm rates of traditional short-term geological disaster early warning ...
Weimin HUANG +2 more
doaj +1 more source
Exploring Mine Engineering Geological Prospecting and Geological Disaster Control Countermeasures
International Journal of Geology, 2020 Over the years, China's mining efforts of mineral resources has been continuously strengthened, and more and more complex mining has been mined by people, providing a large number of raw materials for China's industrial production. However, because some mines are loose managed and there is no unified control system, many mines may cause safety problems
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Risk Analysis of Geological Disasters in Southwest China
IOP Conference Series: Earth and Environmental Science, 2020 Abstract In this study, four provinces (cities) in southwest China were taken as the study area, and eight risk evaluation indexes were selected to construct the evaluation index grading system, including elevation, slope, relative elevation, soil erosion, annual precipitation, NDVI, land use and population.
Chao Zhang +4 more
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