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DRU: Tsunami Hazards: Social Cognitive Modeling of Preparedness and Effectiveness of Warnings

DRU: Tsunami Hazards: Social Cognitive Modeling of Preparedness and Effectiveness of Warnings
DRU:海啸灾害:预警准备和有效性的社会认知模型
批准号:
0527387
负责人:
Bruce Houghton
金额:
$55.56万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-01 至 2009-08-31

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中文摘要
翻译
摘要DRU:海啸:预警准备和有效性的社会认知模型美国太平洋海啸预警系统最近扩展到大西洋和加勒比海,突显了美国大部分地区的海啸风险。我们的项目将创建一个跨学科模型,可作为科学家和发布风险信息的应急管理人员的决策工具。该模型将协助干预计划,并评估外展计划在为美国处于危险中的社区做好准备以应对海啸和应对海啸警报方面的有效性。它将合并来自七个美国沿海社区的数据,这些社区(I)在20世纪的海啸中经历过破坏或没有,(Ii)参与了广泛的海啸缓解运动,或没有。这项研究将提供对公众评估风险信息的基本心理和组织过程的基本了解,以及他们在面对变化时的决策,并建立预测促进和阻碍采取海啸预防措施的因素的能力。从更广泛的角度来看,该计划将在美国面临最大风险的地区建立目前的准备水平,并帮助指导未来旨在加强社区对海啸影响的应变能力的教育举措。这项研究将建立预测有助于和阻碍采取海啸防护措施的因素的能力。该模型可以预测影响备灾的因素,它将是确保我们的社区做好准备以满足有效应对所需需求的重要工具。这项研究将通过科学出版物以及国家减轻海啸委员会和成员机构广泛传播。
英文摘要
AbstractDRU: TSUNAMI: Social cognitive modeling of preparedness and effectiveness of warningsRecent expansion of the U.S. Pacific tsunami warning system to the Atlantic and Caribbean underscores the tsunami risk in much of the U.S.A. Our project will create an interdisciplinary model that can be used as a decision-making tool by scientists and emergency managers who disseminate risk information. The model will assist intervention planning and assess the effectiveness of outreach programs in preparing at-risk communities in America to prepare for tsunami and to respond to tsunami warnings. It will merge data from seven US coastal communities that have (i) experienced damage in 20th century tsunamis or have not and (ii) have participated in extensive campaigns for tsunami mitigation or have not. The study will supply basic understanding of the fundamental mental and organizational processes underlying the public's evaluation of risk information and their decision making in the face of change, and create a capability to predict the factors that facilitate and hinder the adoption of protective measures for tsunamis. From a broader perspective, this program will both establish current levels of preparedness in the areas of the U.S. that are at greatest risk and help guide future education initiatives aimed at strengthening community resilience to tsunami effects. The research will create the capability to predict the factors that aid and hinder the adoption of protective measures for tsunamis. The model, that can predict the factors that influence preparedness, will be an essential tool to ensure that our communities are prepared to meet the demands required for effective response. The study will be widely disseminated through scientific publications and the National Tsunami Mitigation Committee and member agencies.
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