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Remote collection and analysis of witness reports on flash floods

机译:远程收集和分析山洪暴发的证人报告

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Typically, flash floods are studied ex post facto in response to a major impact event. A complement to field investigations is developing a detailed database of flash flood events, including minor events and null reports (i.e., where heavy rain occurred but there was no flash flooding), based on public survey questions conducted in near-real time. The Severe hazards analysis and verification experiment (SHAVE) has been in operation at the National Severe Storms Laboratory (NSSL) in Norman, OK, USA during the summers since 2006. The experiment employs undergraduate students to analyse real-time products from weather radars, target specific regions within the conterminous US, and poll public residences and businesses regarding the occurrence and severity of hail, wind, tornadoes, and now flash floods. In addition to providing a rich learning experience for students, SHAVE has also been successful in creating high-resolution datasets of severe hazards used for algorithm and model verification. This paper describes the criteria used to initiate the flash flood survey, the specific questions asked and information entered to the database, and then provides an analysis of results for flash flood data collected during the summer of 2008. It is envisioned that specific details provided by the SHAVE flash flood observation database will complement databases collected by operational agencies (i.e., US National Weather Service Storm Data reports) and thus lead to better tools to predict the likelihood of flash floods and ultimately reduce their impacts on society.
机译:通常,会根据重大影响事件事后研究山洪暴发。实地调查的补充是正在根据近乎实时进行的公共调查问题,开发一个详细的山洪暴发事件数据库,包括小事件和无效报告(即发生大雨但没有山洪暴发的地方)。自2006年夏季以来,严重危害分析和验证实验(SHAVE)一直在美国俄克拉荷马州诺曼市的国家严重暴风雨实验室(NSSL)进行。该实验雇用了大学生来分析气象雷达的实时产品,以美国本土附近的特定区域为目标,并针对冰雹,风,龙卷风和现在的山洪暴发的发生和严重程度,对公共住宅和企业进行民意测验。除了为学生提供丰富的学习经验之外,SHAVE还成功创建了用于算法和模型验证的严重危害的高分辨率数据集。本文介绍了用于发起山洪泛滥调查的标准,提出的具体问题和输入数据库的信息,然后提供了对2008年夏季收集的山洪泛洪数据结果的分析。可以预见,由SHAVE暴雨观测数据库将补充运营机构收集的数据库(即美国国家气象局风暴数据报告),从而提供更好的工具来预测暴雨的可能性,并最终减少其对社会的影响。

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