Collaborative Research: Measurement and Modeling of Air Entrainment and Ash Distribution in Weak Volcanic Plumes

合作研究：弱火山羽流中空气夹带和灰分分布的测量和建模

• 批准号: 1346577
• 负责人: Raul Cal
• 金额: $ 25.61万
• 依托单位: Portland State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-01 至 2018-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1346577&HistoricalAwards=false
• 关键词: Collaborative; Research; Measurement; Modeling; Air

The 2010 eruption of Eyjafjallajökull volcano in Iceland resulted in weeks of air traffic disruption and more than a billion dollars of economic losses. The disruption was exacerbated by limitations in the accuracy of models used to forecast the size, location, and ash concentration of the cloud. The pre-2010 airline industry policy was to avoid any volcanic ash during flight, and existing models predicted that the plume covered much of Europe. This has provided a new challenge to forecasters, as the rate that ash is fed into the cloud cannot be accurately estimated in complex flow situations. This rate is usually determined from the height of the plume above the volcano, but it can vary significantly due to many factors, including eruptive conditions, atmospheric properties, and local wind speeds. Hence, there is a vital need to develop improved models for realistic conditions.Traditional plume models assume flow in a calm atmosphere, but plumes are significantly modified by perpendicular cross flows with varying scales of turbulence. While cross flow has been considered in some models, the accuracy is still quite crude. This study will develop an improved understanding of volcanic plumes in a stratified cross flow, which will be used to aid in forecasting the dispersal of hazardous ash clouds. Advanced experimental techniques will be used to measure the flow in a laboratory scale plume. These results will be incorporated directly into a state-of-the-art analytical model, which will more accurately quantify the ash density distribution for volcanic scales. In addition, this research will be presented to the broad public audience through small-scale, hands-on laboratory demonstrations at the Oregon Museum of Science and Industry (OMSI).

2010年冰岛埃亚菲亚德拉火山爆发，导致空中交通中断数周，经济损失超过10亿美元。 用于预测云的大小、位置和灰浓度的模型的准确性有限，加剧了这种破坏。 2010年之前的航空业政策是避免在飞行期间出现任何火山灰，现有模型预测，羽流覆盖了欧洲大部分地区。 这给预报员带来了新的挑战，因为在复杂的流动情况下，火山灰进入云中的速度无法准确估计。 这个速率通常是根据火山上方羽流的高度来确定的，但由于许多因素，包括喷发条件，大气特性和当地风速，它可能会有很大的变化。 因此，有一个现实条件下开发改进的模型是至关重要的。传统的羽流模型假设在平静的大气中流动，但羽流显着修改垂直横流与不同尺度的湍流。 虽然在某些模型中已考虑了横流，但其精度仍相当粗糙。 这项研究将增进对分层横流中火山羽流的了解，并将用于帮助预测危险灰云的消散情况。 先进的实验技术将用于测量实验室规模的羽流。 这些结果将直接纳入最先进的分析模型，该模型将更准确地量化火山规模的灰密度分布。 此外，这项研究将在俄勒冈州科学与工业博物馆（OMSI）通过小规模的实验室演示向广大公众展示。