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Average Recurrence Interval of Rainfall in Real-time

机译:实时平均降雨间隔

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As society and infrastructure become increasingly more vulnerable and impacted by extreme rainfall events, the requirement for timely, accurate and informative rainfall information is paramount to protecting property, saving lives and efficiently managing water. Accurate rainfall data is becoming increasingly available, but translating it into meaningful information to support decisions is lacking. To make rainfall data more meaningful, an innovative technique for translating near real-time rainfall maps into "return period" maps has been created so users have an objective, timely, and accurate depiction of recent rainfall. Knowing how much rainfall fell at a particular location during a certain amount of time is useful, but expressing the rarity of rainfall in terms of a "return period" provides an objective and useful perspective of the rainfall. ARI maps of rainfall provide information that is analogous to the 100-year flood, but for rainfall instead.The use of the term "return period" has been criticized for leading to confusion in the minds of decision makers and the public, therefore to clarify the meaning and to be consistent with NOAA's National Weather Service Hydrometeorological Design Studies Center (HDSC), the term average recurrence interval (ARI) is used. For those who prefer a probability, an ARI can be easily converted into a probability. The ARI is the average number of years between exceedances of a given rainfall depth for a given duration at a specific point location.Historically, calculating the ARI of a given rainfall event has been inefficient, generalized for an area based on a single observation and/or lacking reliable underlying data. New methodologies address each of these. In a highly computational GIS environment, real-time ARIs are computed based gauge-corrected radar-estimated rainfall maps/grids from the National Weather Service (NWS) and Weather Decision Technologies, Inc. (WDT) together with official rainfall frequency grids/maps published by HDSC. Although the ARI of rainfall does not necessarily equate to a flood of the same ARI, the ARI of rainfall is an excellent indicator of flooding potential.
机译:随着社会和基础设施变得越来越脆弱,并受到极端降雨事件的影响,对及时,准确和翔实的降雨信息的要求对于保护财产,挽救生命和有效管理水资源至关重要。准确的降雨数据越来越多,但缺乏将其转化为有意义的信息以支持决策的能力。为了使降雨数据更有意义,已经创建了一种创新的技术,可以将近实时的降雨图转换为“返回期”图,从而使用户能够客观,及时,准确地描述最近的降雨。知道在特定时间段内特定位置有多少降雨是有用的,但是用“恢复期”表示降雨的稀有性提供了降雨的客观和有用的观点。 ARI降雨图可提供类似于100年洪水的信息,但仅提供降雨。批评“返回期”一词的使用会导致决策者和公众的头脑混乱,因此需要澄清其含义与NOAA国家气象局水文气象设计研究中心(HDSC)保持一致,因此使用术语平均复发间隔(ARI)。对于那些喜欢概率的人来说,ARI可以很容易地转换为概率。 ARI是特定点位置在给定持续时间内给定降雨深度超过两次之间的平均年数。从历史上看,计算给定降雨事件的ARI效率很低,一般基于一次观测和/或缺乏可靠的基础数据。新的方法论解决了这些问题。在高度计算的GIS环境中,实时ARIs是根据国家气象局(NWS)和Weather Decision Technologies,Inc.(WDT)的经轨距校正雷达估计的降雨图/网格以及官方的降雨频率网格/图来计算的。由HDSC发布。尽管降雨的ARI不一定等于相同ARI的洪水,但降雨的ARI是洪水潜力的极好的指标。

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