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Hazard Warning Systems: Review of 20 Years of Progress
Abstract
The United States has no comprehensive national warning strategy that covers all hazards in all places. Instead, public warning practices are decentralized across different governments and the private sector. Uneven preparedness to issue warnings exists across local communities; hence, people are unevenly protected from the surprise onset of natural disasters. Without changes in this situation, inequalities will grow larger, and the gains made in saving lives over the past decades may well be reversed. Since the first assessment of research on natural hazards was completed in 1975, there have been significant improvements in forecasts and warnings for some hazards but only marginal improvements for others. Forecasts for floods, hurricanes, and volcanic eruptions have improved most significantly, and public dissemination of warnings has improved the most for hurricanes. However, a 100% reliable warning system does not exist for any hazard.
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Cited by
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Lindell, M. K., & Perry, R. W. (2012) · Risk Analysis · doi:10.1111/j.1539-6924.2011.01647.x · Cited by 1,868
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REYNOLDS, B., & W. SEEGER, M. (2005) · Journal of Health Communication · doi:10.1080/10810730590904571 · Cited by 1,287
Bird, D. K., Gisladottir, G., & Dominey-Howes, D. (2010) · Journal of Volcanology and Geothermal Research · doi:10.1016/j.jvolgeores.2009.09.020 · Cited by 120
Post, J., Wegscheider, S., Mück, M., Zosseder, K., Kiefl, R., Steinmetz, T., & Strunz, G. (2009) · Natural Hazards and Earth System Sciences · doi:10.5194/nhess-9-1075-2009 · Cited by 73
Metadata
- Authors
- Sorensen, J. H.
- Venue
- Natural Hazards Review
- Published
- 2000-05
- Volume
- 1
- Issue
- 2
- Pages
- 119-125
- ISSN
- 1527-6988 (ISSN-L)
- 1527-6996
- DOI
- 10.1061/(asce)1527-6988(2000)1:2(119
- OpenAlex
- W2107538532
- Cited by
- 609
- References
- 0
- FWCI
- 12.58
- 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.