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首页> 外文期刊>Journal of Volcanology and Geothermal Research >Testing gas dispersion modelling: A case study at La Soufriere volcano (Guadeloupe, Lesser Antilles)
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Testing gas dispersion modelling: A case study at La Soufriere volcano (Guadeloupe, Lesser Antilles)

机译：试验气体分散建模：La Soufriere Volcano（Guadeloupe，Lesser Antilles）的案例研究

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摘要

Volcanic gas dispersal can be a serious threat to people living near active volcanoes since it can have short- and long-term effects on human health, and severely damage crops and agricultural land. In recent decades, reliable computational models have significantly advanced, and now they may represent a valuable tool to make quantitative and testable predictions, supporting gas dispersal forecasting and hazard assessments for public safety. Before applying a specific modelling tool into hazard quantification, its calibration and its sensitivity to initial and boundary conditions should be carefully tested against available data, in order to produce unbiased hazard quantifications. In this study, we provided a number of prototypical tests aimed to validate the modelling of gas dispersal from a hazard perspective. The tests were carried out at La Soufriere de Guadeloupe volcano, one of the most active gas emitters in the Lesser Antilles.La Soufriere de Guadeloupe has shown quasi-permanent degassing of a low-temperature hydrothermal nature since its last magmatic eruption in 1530 CE, when the current dome was emplaced. We focused on the distribution of CO2 and H2S discharged from the three main present-day fumarolic sources at the summit, using the measurements of continuous gas concentrations collected in the period March-April 2017. We developed a new probabilistic implementation of the Eulerian code DISGAS-2.0 for passive gas dispersion coupled with the mass-consistent Diagnostic Wind Model, using local wind measurements and atmospheric stability information from a local meteorological station and ERA5 reanalysis data. We found that model outputs were not significantly affected by the type of wind data but rather upon the relative positions of fumaroles and measurement stations. Our results reproduced the statistical variability in daily averages of observed data over the investigated period within acceptable ranges, indicating the potential usefulness of DISGAS-2.0 as a tool for reproducing the observed fumarolic degassing and for quantifying gas hazard at La Soufriere. The adopted testing procedure allows for an aware application of simulation tools for quantifying the hazard, and thus we think that this kind of testing should actually be the first logical step to be taken when applying a simulator to assess (gas) hazard in any other volcanic contexts. (C) 2021 The Authors. Published by Elsevier B.V.
机译：火山岩煤气分散可能对生活火山附近的人来说可能是严重的威胁，因为它可以对人类健康有短期和长期影响，以及严重损害作物和农业土地。近几十年来，可靠的计算模型具有显着高度的先进，现在它们可能代表一个有价值的工具来进行定量和可测量的预测，支持气体分散预测和公共安全的危害评估。在将特定的建模工具应用于危险量化之前，应仔细测试其校准及其对初始和边界条件的敏感性，以便对可用数据进行仔细测试，以产生非偏见的危险量化。在这项研究中，我们提供了许多原型测试，旨在从危险角度验证气体分散的建模。该测试在La Soufriere de Guadeloupe火山进行，较少的Antilles.la soufriere de Guadeloupe之一，该遗传群中的最活跃的燃气发射器之一是由于1530年最后岩浆爆发以来，对低温水热性质进行了准永久性脱气，当前圆顶被灌输时。我们专注于在峰会中分配来自三个主要的当前富马摩尔源的二氧化碳和H2S的分布，使用2017年3月至4月期间收集的连续气体浓度的测量。我们制定了欧拉代码的新概率实施对于无源气体色散与质量一致的诊断风模型耦合，使用局部气象站和ERA5再分析数据的局部风测量和大气稳定信息。我们发现模型输出没有受风数据类型的显着影响，而是对富马摩尔和测量站的相对位置的影响。我们的结果在可接受的范围内通过调查期间对观察到的数据的日常平均值进行了统计变异，表明DISGA-2.0作为再现观察到的富马隆脱气的工具以及用于量化La Soufriere的气体危险的工具。所采用的测试程序允许意识到仿真工具的应用程序，以便量化危险，因此我们认为这种测试实际上应该是在应用模拟器评估（气体）危险时拍摄任何其他火山的第一个逻辑步骤背景。 （c）2021作者。 elsevier b.v出版。

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  • 来源
    《Journal of Volcanology and Geothermal Research》 |2021年第9期|107312.1-107312.17|共17页
  • 作者

    Massaro Silvia; Dioguardi Fabio; Sandri Laura; Tamburello Giancarlo; Selva Jacopo; Moune Severine; Jessop David E.; Moretti Roberto; Komorowski Jean-Christophe; Costa Antonio;

  • 作者单位

    Ist Nazl Geofis & Vulcanol Sez Bologna Bologna Italy|CNR Ist Geol Ambientale & Geoingn Area Ric Roma 1 Sede Montelibretti Italy;

    British Geol Survey Lyell Ctr Edinburgh Midlothian Scotland;

    Ist Nazl Geofis & Vulcanol Sez Bologna Bologna Italy;

    Ist Nazl Geofis & Vulcanol Sez Bologna Bologna Italy;

    Ist Nazl Geofis & Vulcanol Sez Bologna Bologna Italy;

    Univ Paris Inst Phys Globe Paris UMR CNRS 7154 Paris France|Inst Phys Globe Paris Observ Volcanol & Sismol Guadeloupe Gourbeyre Guadeloupe France|Univ Clermont Auvergne CNRS IRD OPGC Lab Magmas & Volcans F-63000 Clermont Ferrand France;

    Univ Paris Inst Phys Globe Paris UMR CNRS 7154 Paris France|Inst Phys Globe Paris Observ Volcanol & Sismol Guadeloupe Gourbeyre Guadeloupe France|Univ Clermont Auvergne CNRS IRD OPGC Lab Magmas & Volcans F-63000 Clermont Ferrand France;

    Univ Paris Inst Phys Globe Paris UMR CNRS 7154 Paris France|Inst Phys Globe Paris Observ Volcanol & Sismol Guadeloupe Gourbeyre Guadeloupe France;

    Univ Paris Inst Phys Globe Paris UMR CNRS 7154 Paris France;

    Ist Nazl Geofis & Vulcanol Sez Bologna Bologna Italy;

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  • 正文语种 eng
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  • 关键词

    Passive gas dispersion; Numerical modelling; ERA5 reanalysis; Mass consistent wind model; La Soufriere de Guadeloupe;

    机译：被动气体分散;数值建模;ERA5再分析;质量一致的风模型;La Soufriere de Guadeloupe;

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