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Site class based seismic magnitude prediction equations for earthquake early warning
Although earthquake early warning (EEW) systems have advanced significantly, accurately determining earthquake parameters from the initial 3 s of...
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Study on construction deformation prediction and disaster warning of karst slopes based on grey theory
The layout of deformation monitoring points on karst slopes is affected by the thickness of karst overburden soil, dissolution and fragmentation...
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Landslide prediction based on low-cost and sustainable early warning systems with IoT
Under heavy rainfall, landslide early warning system (LEWS) is considered to be an effective method for providing timely warnings, but previous LEWS...
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Use of Quantile Regression with Fukui–Okubo Model for Prediction and Early Warning of Reservoir Bank Slope Failure
Due to the inherently unfavorable geological conditions coupled with various triggering factors, reservoir bank slopes often exhibit long-term and...
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Intelligent Dynamic Warning Method of Rockburst Risk and Level Based on Recurrent Neural Network
Due to the susceptibility of microseismic activity to variations in construction parameters and geological conditions, deep-buried tunnel rockbursts...
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Real-Time High-Resolution Prediction of Orographic Rainfall for Early Warning of Landslides
Heavy rainfall often causes devastating landslides. Early warning based on reliable rainfall prediction can help reduce human and economic damages....
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Detection and Warning System for Sudden high Swells on the east Coast of the Korean Peninsula
Over the past few years, sudden high swells (SHSs) have often occurred on the east coast of the Korean Peninsula (KP), especially during the winter...
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A new workflow for warning and controlling the water invasion
Warning and controlling the water invasion in water-driving reservoirs is significant because water invasion will seriously hamper well productivity...
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Early warning systems for desertification hazard: a review of integrated system models and risk management
Early warning systems (EWS) are broadly regarded as crucial components of disaster risk reduction strategies and action plans. Desertification, a...
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Rockburst time warning method with blasting cycle as the unit based on microseismic information time series: a case study
Rockburst warning includes prediction of the position, intensity, and timing of potential rockburst. Rockburst time warning refers to the prediction...
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Flood warning system using internet of things, artificial intelligence and hydraulic modeling (case study: Behesht-Abad Watershed, Iran)
Flood is a sudden event with the possibility of life and financial risks, and recently innovative technologies can help to increase the accuracy of...
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Transnational Dialogues on Interdisciplinary Approaches for Advancing People-Centered Warning Systems
The United Nations Office for Disaster Risk Reduction and the World Meteorological Organization launched in 2022 the executive plan of the world...
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From alert to action: earthquake early warning and deaf communities
Earthquake early warning (EEW) alerts may give people valuable seconds to take protective action, such as drop, cover and hold on, before earthquake...
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A precipitation downscaling framework for regional warning of debris flows in mountainous areas
A timely warning system for debris-flow mitigation in mountainous areas is vital to decrease casualties. However, the lack of rainfall monitoring...
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Dynamic rainfall thresholds for landslide early warning in Progo Catchment, Java, Indonesia
This study aims to derive and evaluate new empirical rainfall thresholds as the basis for landslide early warning in Progo Catchment, Indonesia,...
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Real-time sharing algorithm of earthquake early warning data of hydropower station based on deep learning
Different geographical locations have different time series and types of earthquake early warning data of hydropower stations, and the packet loss...
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A case study of a giant reactivated landslide based on NPR anchor cable Newton force early warning
In a large ancient landslide, approximately 240,000 m 3 of sediments were reactivated, posing a grave threat to the safety of iron ore stopes. To...
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Earthquake Genesis and Earthquake Early Warning Systems: Challenges and a Way Forward
AbstractSeveral natural hazards, including earthquakes, may trigger disasters and the presence of disaster drivers further lead to the massive loss...
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Multi-period early-warning precipitation identification method for the easily waterlogged districts in Jiangxi province, China
Urban easily waterlogged districts need more systematic monitoring as the key disaster-forming and managing spatial scale, hard to identify the...
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An hourly shallow landslide warning model developed by combining automatic landslide spatial susceptibility and temporal rainfall threshold predictions
Landslide warning models are important for mitigating landslide risks. The rainfall threshold model is the most widely used early warning model for...