Articles | Volume 21, issue 10
https://doi.org/10.5194/nhess-21-3243-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-3243-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication
| Highlight paper
| 
29 Oct 2021
Brief communication | Highlight paper |
| 29 Oct 2021
| 29 Oct 2021
Brief communication: Effective earthquake early warning systems: appropriate messaging and public awareness roles
Meng Zhang
Department of the Environment, College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Xue Qiao
Institute of New Energy and Low-carbon Technology & Healthy Food Evaluation Research Center, Sichuan University, Chengdu, China
State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
Barnabas C. Seyler
Department of the Environment, College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Baofeng Di
Department of the Environment, College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610200, China
Yuan Wang
Department of the Environment, College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Ya Tang
CORRESPONDING AUTHOR
Department of the Environment, College of Architecture and Environment, Sichuan University, Chengdu 610065, China
State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
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Total article views: 6,370 (including HTML, PDF, and XML)
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Total article views: 1,195 (including HTML, PDF, and XML)
Thereof 1,118 with geography defined
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Cited
16 citations as recorded by crossref.
- A Systematic Review of Existing Early Warning Systems’ Challenges and Opportunities in Cloud Computing Early Warning Systems I. Agbehadji et al. https://doi.org/10.3390/cli11090188
- Türkiye ve Japonya’nın Deprem Gerçekliği: Karşılaştırmalı Bir Analiz İ. Göver https://doi.org/10.56720/mevzu.1319896
- Cumulative absolute velocity prediction for earthquake early warning with deep learning Y. Wang et al. https://doi.org/10.1111/mice.13065
- Assessing climate change risk and vulnerability among Bhil and Bhilala tribal communities in Madhya Pradesh, India: a multidimensional approach A. Kumar & T. Mohanasundari https://doi.org/10.1038/s41598-025-90390-9
- Bridging warning and adaptation addressing risk communication strategies for short-term natural hazard warnings and long-term risk adaptation – A scoping review J. Graf et al. https://doi.org/10.1016/j.pdisas.2026.100515
- IsoMapGen: Framework for early prediction of peak ground acceleration using tripartite feature extraction and gated attention model A. Joshi et al. https://doi.org/10.1016/j.cageo.2024.105849
- Knowledge and practice of earthquake management among apartment dwellers: A case study of Jakarta City, Indonesia . Fatmah et al. https://doi.org/10.1016/j.jnlssr.2025.100225
- Deconstructing the nature of strategic instructional communication in risk and crisis contexts D. Sellnow https://doi.org/10.1080/29986907.2025.2581007
- Assessment of livelihood vulnerability to climate change among tribal communities in Chhindwara and Dhar district, Central India A. Kumar & T. Mohanasundari https://doi.org/10.1038/s41598-025-90769-8
- On the development and introduction of a territorial anti-seismic early warning and protection system in Armenia S. Mkhitaryan et al. https://doi.org/10.1016/j.nima.2025.170317
- Development of a companion questionnaire for “Did You Feel It?”: Assessing response in earthquakes where an earthquake early warning may have been received J. Goltz et al. https://doi.org/10.1177/87552930221116133
- Earthquake Genesis and Earthquake Early Warning Systems: Challenges and a Way Forward R. Kumar et al. https://doi.org/10.1007/s10712-022-09710-7
- Intelligent earthquake prediction using animal vocal behavior analysis based on machine learning and deep learning approaches R. Salakapuri et al. https://doi.org/10.1038/s41598-026-48690-1
- Onsite intensity prediction for earthquake early warning with multimodal deep learning J. Zhu et al. https://doi.org/10.1016/j.soildyn.2025.109430
- Evaluating the Effectiveness of the Earthquake Early Warning Message in China: An Affordance Perspective Using Immersive Virtual Reality Z. He et al. https://doi.org/10.3390/su151410874
- User Acceptance and Perceptions of Earthquake Early Warning Systems as a Function of Information Type: The Case of Postearthquake Nepal S. Scogin et al. https://doi.org/10.1002/esp4.70038
16 citations as recorded by crossref.
- A Systematic Review of Existing Early Warning Systems’ Challenges and Opportunities in Cloud Computing Early Warning Systems I. Agbehadji et al. https://doi.org/10.3390/cli11090188
- Türkiye ve Japonya’nın Deprem Gerçekliği: Karşılaştırmalı Bir Analiz İ. Göver https://doi.org/10.56720/mevzu.1319896
- Cumulative absolute velocity prediction for earthquake early warning with deep learning Y. Wang et al. https://doi.org/10.1111/mice.13065
- Assessing climate change risk and vulnerability among Bhil and Bhilala tribal communities in Madhya Pradesh, India: a multidimensional approach A. Kumar & T. Mohanasundari https://doi.org/10.1038/s41598-025-90390-9
- Bridging warning and adaptation addressing risk communication strategies for short-term natural hazard warnings and long-term risk adaptation – A scoping review J. Graf et al. https://doi.org/10.1016/j.pdisas.2026.100515
- IsoMapGen: Framework for early prediction of peak ground acceleration using tripartite feature extraction and gated attention model A. Joshi et al. https://doi.org/10.1016/j.cageo.2024.105849
- Knowledge and practice of earthquake management among apartment dwellers: A case study of Jakarta City, Indonesia . Fatmah et al. https://doi.org/10.1016/j.jnlssr.2025.100225
- Deconstructing the nature of strategic instructional communication in risk and crisis contexts D. Sellnow https://doi.org/10.1080/29986907.2025.2581007
- Assessment of livelihood vulnerability to climate change among tribal communities in Chhindwara and Dhar district, Central India A. Kumar & T. Mohanasundari https://doi.org/10.1038/s41598-025-90769-8
- On the development and introduction of a territorial anti-seismic early warning and protection system in Armenia S. Mkhitaryan et al. https://doi.org/10.1016/j.nima.2025.170317
- Development of a companion questionnaire for “Did You Feel It?”: Assessing response in earthquakes where an earthquake early warning may have been received J. Goltz et al. https://doi.org/10.1177/87552930221116133
- Earthquake Genesis and Earthquake Early Warning Systems: Challenges and a Way Forward R. Kumar et al. https://doi.org/10.1007/s10712-022-09710-7
- Intelligent earthquake prediction using animal vocal behavior analysis based on machine learning and deep learning approaches R. Salakapuri et al. https://doi.org/10.1038/s41598-026-48690-1
- Onsite intensity prediction for earthquake early warning with multimodal deep learning J. Zhu et al. https://doi.org/10.1016/j.soildyn.2025.109430
- Evaluating the Effectiveness of the Earthquake Early Warning Message in China: An Affordance Perspective Using Immersive Virtual Reality Z. He et al. https://doi.org/10.3390/su151410874
- User Acceptance and Perceptions of Earthquake Early Warning Systems as a Function of Information Type: The Case of Postearthquake Nepal S. Scogin et al. https://doi.org/10.1002/esp4.70038
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
Earthquake early warning systems (EEWSs) can help reduce losses, but their effectiveness depends on adequate public perception and understanding of EEWSs. This study examined the performance of the EEWS in China's Sichuan Province during the 2019 Changning earthquake. We found a big gap existed between the EEWS's message, the public's perception of it, and their response. The study highlights the importance of gauging EEWS alert effectiveness and public participation for long-term resiliency.
Earthquake early warning systems (EEWSs) can help reduce losses, but their effectiveness depends...
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