Determination of most affected areas by earthquakes based on mobile signaling data: a case study of the 2022 Mw 6.6 Luding earthquake, China
Author:
Affiliation:
1. China Earthquake Administration, Institute of Geology, Beijing, China
2. Key Laboratory of Seismic and Volcanic Hazards, China Earthquake Administration, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/19475705.2023.2221772
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1. Employing Machine Learning and IoT for Earthquake Early Warning System in Smart Cities
2. Quantifying the dynamics of migration after Hurricane Maria in Puerto Rico
3. DEVELOPING SEISMIC INTENSITY MAPS FROM TWITTER DATA; THE CASE STUDY OF LESVOS, GREECE 2017 EARTHQUAKE: ASSESSMENTS, IMPROVEMENTS AND ENRICHMENTS ON THE METHODOLOGY
4. Dynamic maps of human exposure to floods based on mobile phone data
5. Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti
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