Systematic InSAR monitoring of African active volcanic zones: What we have learned in three years, or an harvest beyond our expectations

N. d'Oreye, J. Fernández, P. González, F. Kervyn, C. Wauthier, C. Frischknecht, É. Calais, S. Heleno, V. Cayol, A. Oyen, P. Marinkovic
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引用次数: 22

Abstract

We present here a brief overview of some findings and preliminary results obtained after almost three years of systematic monitoring of active volcanic areas in Africa by means of differential synthetic aperture radar interferometry (InSAR). With a database rich of more than 400 SAR scenes of Fogo (Cape Verde), Ol Doinyo Lengai (Tanzania), Nyiragongo-Nyamulagira (DR of Congo) and Mount Cameroon volcanoes, we processed more than 2000 interferograms among which we could detect significant and major geophysical processes: the first dyking event ever captured geodetically in a continental rift (Lake Natron; Northern Tanzania), the co-eruptive deformations of the Lengai, Nyiragongo and Nyamulagira volcanoes, the co-seismic displacements associated to the mb 6.1 February 3rd 2008 Bukavu earthquake as well as the identification of atmospheric induced phase delays over Fogo and Mount Cameroon volcanoes to be attributed to the seasonal oscillations of the inter-tropical convergence zone (ITCZ). These results have been reached given the abundance of data that increases the chances to capture unpredictable events, and capture them with the most favorable interferometric conditions as possible (e.g. in terms of geometrical and temporal baselines that minimized the vegetation-induced decorrelation). They provided strong scientific material as well as tools for hazard assessment.
非洲活火山带的系统InSAR监测:三年来我们的收获,或者是超出我们预期的收获
我们在此简要概述了利用差分合成孔径雷达干涉测量法(InSAR)对非洲活火山地区进行了近三年的系统监测后获得的一些发现和初步结果。我们拥有一个包含佛得角福戈(Fogo)、坦桑尼亚的Ol Doinyo Lengai、刚果民主共和国的尼拉贡戈-尼亚穆拉吉拉(Nyiragongo-Nyamulagira)和喀麦隆火山400多个SAR场景的数据库,处理了2000多张干涉图,其中我们可以探测到重要的地球物理过程:在大陆裂谷(Natron湖)中首次用大地测量方法捕获的大坝事件;伦盖火山、尼拉贡戈火山和尼亚穆拉吉拉火山的共同喷发变形,与2008年2月3日布卡武地震有关的mb 6.1的同震位移,以及大气引起的福戈火山和喀麦隆火山的相位延迟的确定,这归因于热带辐合带(ITCZ)的季节性振荡。这些结果是由于大量的数据增加了捕获不可预测事件的机会,并尽可能在最有利的干涉条件下捕获它们(例如,在几何和时间基线方面,最大限度地减少了植被引起的去相关)。它们为危害评估提供了有力的科学材料和工具。
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