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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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Magnitude estimation and site characterization in southwestern British Columbia: application to earthquake early warning
In this study, we took a close look at the Ocean Networks Canada’s earthquake early warning system in southwestern British Columbia through analysis...
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InSAR time series and LSTM model to support early warning detection tools of ground instabilities: mining site case studies
Early alarm systems can activate vital precautions for saving lives and the economy threatened by natural hazards and human activities....
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Weighted Markov chain analysis and hierarchical clustering for landslide early warning in open-pit mine
Landslides are primary natural hazard inducing thousands of mortality and casualties as well as momentous damage to property and infrastructure...
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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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Flood generating mechanisms investigation and rainfall threshold identification for regional flood early warning
A cost effective and easily applied methodological approach for the identification of the main factors involved in flood generation mechanisms and...
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Early Warning System Against Rainfall-Induced Landslide in Sri Lanka
Based on solid evidence, scientists attribute the global warming trend observed since the mid-twentieth century to the human expansion of the... -
Earthquake Early Warning Systems in Taiwan: Current Status
The earthquake early warning (EEW) system in Taiwan is the outcome of rigorous research work carried out at various levels after the occurrence of...
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Strengthening the Resilience by Implementing a Standard for Landslide Early Warning System
The implementation of early warning systems is in line with the Sendai Framework for Disaster Risk Reduction (SFDRR) 2015–2030. The Sendai Framework... -
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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Identification of Monitoring Organ in Bivalves for Early Warning of Paralytic Shellfish Toxins Accumulation
Bivalve farming plays a dominant role in mariculture in China. Paralytic shellfish toxins (PSTs) can be accumulated in bivalves and cause poisoning...
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A prototype landslide early warning system in Rize (Turkey): analyzing recent impacts to design a safer future
In July 2021, Rize province (Turkey) was struck by two intense rainstorms that caused two widespread landslide disasters with a short turnaround...
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Progress on the earthquake early warning and shakemaps system using low-cost sensors in Taiwan
Building an earthquake early warning (EEW) network requires the installation of seismic instruments around the seismogenic zone. Using low-cost...
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Assessing tsunami risk along the Aceh coast, Indonesia: a quantitative analysis of fault rupture potential and early warning system efficacy for predicting arrival time and flood extent
The Aceh coast (western Indonesia) is prone to regular tsunamis, as evidenced by historical records and paleo-tsunami studies. Effective community...
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Landslide Early Warning Systems: Requirements and Solutions for Disaster Risk Reduction—India
Globally the prevalence of landslides has increased, impacting more than 4.8 million people between 1998 and 2017 and reported more than 18,000... -
Generating phone-quality records to train machine learning models for smartphone-based earthquake early warning
Earthquake early warning (EEW) system detects earthquakes and sends an early warning to areas likely to be affected, which plays a significant role...
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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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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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The challenge to use multi-temporal InSAR for landslide early warning
Satellite radar interferometry is a powerful tool for measuring displacements of the Earth’s surface. However, we recommend to extend the currently...
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The Application of Early Warning System in India
Early warning system is considered as a major tool to reduce the impact of disaster. A successful EWS protects lives and livelihoods, as well as land...