...
首页> 外文期刊>Journal of Coastal Research: An International Forum for the Littoral Sciences >Increasing Risk Perception and Understanding of Hurricane Storm Tides Using an Interactive, Web-Based Visualization Approach
【24h】

Increasing Risk Perception and Understanding of Hurricane Storm Tides Using an Interactive, Web-Based Visualization Approach

机译:使用互动的网络的可视化方法增加风险感知和对飓风风暴潮汐的理解

获取原文
获取原文并翻译 | 示例
           

摘要

Previous studies have shown that much of the public misinterprets standard hurricane storm surge text advisories or standard color-coded storm surge maps. A supplemental approach is proposed that allows users to simulate storm tide for various locations, tidal amounts, and hurricane scenarios and then visualize the estimated water depth on photographs of neighborhood landmarks. Potentially, the visual nature of this approach could enhance risk perception and understanding. The interactive aspect of this approach may engage users more than standard approaches, in addition to providing users with more information. Showing the threats at the neighborhood scale could make the risk more apparent and discourage development of risk-prone areas. Vulnerable groups such as the elderly, transient, or nonEnglish speakers could benefit from the visual representation of the risk. Graphics could be useful for broadcasters and emergency management. However, as is the case with current techniques, this approach has difficulty representing uncertainty. One major shortfall of all current approaches is the parameterization and inclusion of waves as the storm surge travels inland. Waves could be easily visualized with this approach, should the science provide an adequate parameterization.
机译:以前的研究表明,许多公众误解标准飓风风暴浪涌文本咨询或标准颜色编码风暴浪涌地图。提出了一种补充方法,使用户能够模拟各种位置,潮汐量和飓风情景的风暴潮,然后在邻里地标照片上可视化估计的水深。潜在地,这种方法的视觉性质可以提高风险感知和理解。除了为用户提供更多信息之外,这种方法的互动方面可能比标准方法更多地参与标准方法。展示邻里规模的威胁可能会使风险更加明显和劝阻风险易受领域的发展。弱势群体如老年人,瞬态或非英语演讲者可以从风险的视觉表现中受益。图形对广播公司和紧急管理有用。然而,与当前技术的情况一样,这种方法难以代表不确定性。所有目前方法的一个主要短缺是作为风暴浪涌旅行的地区的参数化和纳入波浪。如果科学提供了足够的参数化,那么可以通过这种方法轻松地可视化波。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号