Development of an Ultra-violet Digital Camera for Volcanic S02 Imaging
Development of an Ultra-violet Digital Camera for Volcanic S02 Imaging
批准号:
0337120
负责人:
Gregory Waite
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-01-01 至 2008-12-31
中文摘要
火山系统的脱气行为是它所产生的地震活动的一个组成部分。 2002年1月,蒙特塞拉特火山观测站在苏弗里埃山火山(SHV)安装了一个新的气体监测系统,该系统由两个差分光学吸收分光仪组成;这些新的传感器可以连续检索排放的羽流中的二氧化硫光谱,并在一个工作日内每隔1至6分钟检索一次气体流量值。 初步的工作将集中在校准的时间SO2脱气和地震活动,并在发射的SO2通量的变化与地震触发地下和近地表运动的相关性。 将根据MVO地震网络数据库为SHV地震事件制定震级标度。 该震级标度将用于约束SHV事件(长周期和混合地震以及岩崩)的震级-频率关系。 通过合并SHV活动期间的SO2和地震数据,火山SO2通量将与地震事件类型、震级、地震振幅和时间相关。合并高时间分辨率数据集将有助于更好地了解岩浆动力学,评估挥发性和地震特征的当前理论,并提高喷发预测能力。通过将气体和地震行为与高度活跃的火山系统中的地震活动联系起来。 随着二氧化硫快速测量系统被纳入其他火山监测工作,该项目将有助于确定最有效利用气体流量数据的基线趋势和方法。 这项工作还支持MVO的减灾基础设施,通过探索来自自动气体流量数据的气体警报的潜力。
英文摘要
The degassing behavior of a volcanic system is an integral part of the seismicity it generates. In January 2002, the Montserrat Volcano Observatory (MVO) installed a new gas monitoring system at Soufriere Hills Volcano (SHV) composed of two Differential Optical Absorption Spectrometers; these new sensors allow continuous retrieval of sulfur dioxide spectra from the emitted plume, and gas flux values every 1-6 minutes over the course of a working day. Initial efforts will focus on calibrating the timing of SO2 degassing and seismic activity, and correlation of changes in emitted SO2 fluxes to seismic triggers from subsurface and near-surface motions. A magnitude scale will be developed for SHV seismic events, based on the MVO seismic network database. This magnitude scale will be used to constrain magnitude-frequency relationships for SHV events (long-period and hybrid earthquakes, and rockfalls). Volcanic SO2 fluxes will be correlated to seismic event type, magnitudes, seismic amplitude and timing by merging the SO2 and seismic data over active periods for SHV.Merging of high temporal resolution datasets will allow better understanding of magma dynamics and evaluate current theories of volatile and seismic characteristics, and improved eruption prediction capabilities, by linking gas and seismic behavior to precursory activities in a highly active volcanic system. This project will help establish baseline trends and methodologies for most effective uses of gas flux data, as rapid SO2 measurement systems are incorporated into other volcano monitoring efforts. This work also supports MVO's hazard mitigation infrastructure, through exploration of the potential for a gas alert derived from automated gas flux data.
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