Utilization of in situ airborne MS-based instrumentation for the study of gaseous emissions at active volcanoes

被引：28

作者：

Andres Diaz, Jorge ^{[1
]}

Pieri, David ^{[2
]}

Arkin, C. Richard ^{[3
]}

Gore, Eric ^{[4
]}

Griffin, Timothy P. ^{[4
]}

Fladeland, Matthew ^{[5
]}

Bland, Geoff

Soto, Carlomagno ^{[6
]}

Madrigal, Yetty ^{[1
]}

Castillo, Daniel ^{[1
]}

Rojas, Edgar ^{[1
]}

Achi, Sergio ^{[1
]}

机构：

[1] Univ Costa Rica, Escuela Fis, Gas Sensing Lab, CICANUM, San Jose, Costa Rica

[2] CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA

[3] ASRC Aerosp Corp, Kennedy Space Ctr, FL USA

[4] NASA, Kennedy Space Ctr, FL USA

[5] NASA, Ames Res Ctr, Moffett Field, CA 94035 USA

[6] Org Trop Studies, GIS Lab, La Selva, Sarapiqui, Costa Rica

来源：

INTERNATIONAL JOURNAL OF MASS SPECTROMETRY | 2010年 / 295卷 / 03期

关键词：

In situ mass spectrometry; Portable mass spectrometer; Volcanic monitoring; Volcano plume analysis; Remote sensing calibration/validation; MASS-SPECTROMETER SYSTEM;

D O I：

10.1016/j.ijms.2010.04.013

中图分类号：

O64 [物理化学（理论化学）、化学物理学]; O56 [分子物理学、原子物理学];

学科分类号：

070203 ; 070304 ; 081704 ; 1406 ;

摘要：

A small, 24V powered, portable mass spectrometer system, named ULISSES, for the study and visualization of gaseous volcanic emission is described. First deployments of the system have focused on both ground and airborne in situ measurement to monitor the awakening of the Turrialba Volcano in Costa Rica. Key gas measurements were acquired prior and after its eruption on 5 January 2010, confirming the presence of gas chemistry precursors typical of volcanic eruptions. Ground and airborne measurements were acquired to gain volcanological insight and as the first step towards the use of unmanned aerial vehicles (UAVs) as future airborne platforms and to confirm its unique capability to serve as a calibration/validation tool for satellite remote sensing data. Low parts per million (ppm) levels of helium and a large concentration of sulfur dioxide were measured in situ after the initial eruption. In particular, the SO2 data correlated with satellite remote sensing data. (c) 2010 Elsevier B.V. All rights reserved.

引用

页码：105 / 112

页数：8

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