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Global early warning systems for natural hazards: systematic and people-centred
Abstract
To be effective, early warning systems for natural hazards need to have not only a sound scientific and technical basis, but also a strong focus on the people exposed to risk, and with a systems approach that incorporates all of the relevant factors in that risk, whether arising from the natural hazards or social vulnerabilities, and from short-term or long-term processes. Disasters are increasing in number and severity and international institutional frameworks to reduce disasters are being strengthened under United Nations oversight. Since the Indian Ocean tsunami of 26 December 2004, there has been a surge of interest in developing early warning systems to cater to the needs of all countries and all hazards.
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Cited by
Operational early warning systems for water-related hazards in Europe
Alfieri, L., Salamon, P., Pappenberger, F., Wetterhall, F., & Thielen, J. (2012) · Environmental Science & Policy · doi:10.1016/j.envsci.2012.01.008 · Cited by 323
Martínez-Rojas, M., Pardo-Ferreira, M. D. C., & Rubio-Romero, J. C. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.07.008 · Cited by 213
Understanding the social aspects of earthquake early warning: A literature review
Tan, M. L., Becker, J. S., Stock, K., Prasanna, R., Brown, A., Kenney, C., Cui, A., & Lambie, E. (2022) · Frontiers in Communication · doi:10.3389/fcomm.2022.939242 · Cited by 34
Lienert, J., Andersson, J. C. M., Hofmann, D., Silva Pinto, F., & Kuller, M. (2022) · Hydrology and Earth System Sciences · doi:10.5194/hess-26-2899-2022 · Cited by 26
Metadata
- Authors
- Basher, R.
- Venue
- Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
- Publisher
- The Royal Society
- Published
- 2006-06-28
- Volume
- 364
- Issue
- 1845
- Pages
- 2167-2182
- ISSN
- 1364-503X (ISSN-L)
- 1471-2962
- OpenAlex
- W2027376987
- Cited by
- 559
- References
- 0
- FWCI
- 17.29
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
