使用超声波和羽毛模型评估喷发源参数:来自2021年火山喷发的案例研究. 意大利埃特纳山,意大利
Silvio De Angelis1,2, Luciano Zuccarello3,4, Simona Scollo5
1School of Environmental Sciences, University of Liverpool, 4 Brownlow Street, Liverpool, L69 3GP, UK. silvioda@liverpool.ac.uk.
Scientific reports
|November 14, 2023
概括
来自Mt. 的超声波数据. 埃特纳火山爆发现在可以近乎实时估计火山爆发率. 这项技术通过改善空中灰分散预测,有助于航空安全.
科学领域:
- 地质物理学 地质物理学
- 火山学 火山学是一门学科.
- 声学 声学 在声学方面
背景情况:
- 火山灰对航空安全构成重大风险.
- 准确预测灰散布需要可靠的喷发源参数.
- 目前用于评估喷发参数的方法可能耗时.
研究的目的:
- 为了证明超声波数据对火山爆发率的近实时评估的潜力.
- 利用超声波测量来估计喷发源的关键参数.
- 为了提高火山灰分散模型的准确性和及时性.
主要方法:
- 在山上记录的超声波数据. 分析了2021年6月埃特纳火山爆发的情况.
- 在通风口的流速是使用纠正的超声波数据来计算的.
- 一个1D羽毛模型被使用了来自超声波的速度来估计喷发柱的高度.
- 结果与独立的遥感数据进行了验证.
主要成果:
- 在持续的喷发活动期间,测量了50-125米/秒的流速.
- 超声波衍生的流速为羽毛模型提供了可靠的输入.
- 估计的喷发柱高度与观察到的活动一致.
结论:
- 超声波技术显示,对火山爆发率的实时评估具有重大前景.
- 这种方法可以增强火山羽和灰分散的建模.
- 超声波数据的运营实施可以改善火山危险评估和风险减轻.
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