GROUND THERMAL CONDITIONS AT CHACHANI VOLCANO,SOUTHERN PERU     

NURIA ANDRÉS  DAVID PALACIOS  JOSE ÚBEDA  JESÚS ALCALÁ 《Geografiska Annaler: Series A, Physical Geography》2011,93(3):151-162

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Dynamics of volcanic eruptions: Understanding electric signatures for activity monitoring     

《Comptes Rendus Geoscience》2015,347(3):112-123

Aside common methods as seismology, ground deformation, and geochemistry, electromagnetic and especially electric ones can efficiently be applied for imaging and monitoring active volcanoes and hydrothermal systems that most often control the initial eruptive phase. Surveys and mappings image ground fluids flow, faults systems, and structural interfaces with anomalies up to several hundred of mV. Reiteration of surveys highlights time and spatial evolution. Continuous networks must extend surveys when the activity becomes stronger. Resolution in the data can reach a few microvolts as compared to the tens of millivolts for surveys. Observations made on several volcanoes definitively show that electric signals, up to some tens of millivolts, may appear some hours to a few weeks before ground deformation and seismicity, and are related to some extent to the location of the future activity. These transient signals may have a relationship with those recorded aboard satellites. Both of them appear during the transition period between the “fatigue” and the “dynamical” stages, which announces accelerating and irreversible processes.  相似文献   

Geochemical Features of the Hubin Spring Gases from the Northern Caldera Lake of the Tianchi Volcano,Changbai Mountains     

Gao Ling~  Shangguan Zhiguan~  Wei Haiquan~  Zhao Ciping~ 《中国地震研究》2011,25(3):370-377

This paper deals with geochemical features of gas emitted from the Hubin Springs.The Hubin Springs zone,a strong thermal emission zone,is are locatedd at the north edge of the Tianchi caldera lake.Very young deposits with uncertain eruption date are found on the top area of the Tianwenfeng,which might have been formed in one of the recent eruptions or the Millennium Eruption.It is of significance to study the geochemistry features of the emitting gas from the Hubin Springs to understand the activities of the Tianchi Volcano.This paper systematically sampled and analyzed the gases emitted from the Hubin Springs and discussed their geochemistry features.The results show that there is a high content of deep derived gases,such as CO2,He,CH4 and Ar in Hubin Springs zone.The isotopic ratio of He lies between 4.18 and 5.95 Ra.The averaged mantle derived gas content calculated from the 4He/20Ne ratio and He content reaches 67.1%.All these show that the Hubin Springs are located on a special belt of deep gases released in high intensity and large scale.The spatial distribution of Helium isotope is characterized by concavity,showing that this special area may be related to the volcanic edifice.It is highly possible that the released gases represent the residual gas samples of the latest eruptions from the Tianchi Volcano.However more detailed studies are demanded.  相似文献   

2002~2005年长白山火山气体的释放特征与地球化学异常研究——多源高光谱遥感证据     

孙玉涛  郭正府  成智慧  张茂亮  张丽红 《岩石学报》2017,33(1):221-230

长白山火山区是我国具有潜在喷发危险的活火山，在2002~2005年火山活动性增强出现了岩浆房扰动。利用卫星遥感技术具有观测范围大、观测时间长且连续的优势。因此，本文利用对流层污染探测仪（MOPITT）和大气红外探测仪（AIRS）高光谱遥感数据提取了2002~2005年长白山天池火山区CO总量、O₃总量、水汽总量和地表温度异常信息，讨论了高光谱遥感气体地球化学异常信息与火山活动性之间的关系，并对2002~2005年长白山天池火山区火山活动性进行了研究。结果表明，高光谱遥感数据观测到的气体地球化学（CO、O₃、水汽）异常与地震、形变监测结果以及地面流体（CO₂、He、H₂）观测结果相一致，表明MOPITT和AIRS高光谱遥感卫星观测到的气体异常变化较好地反映了2002~2005年大规模的深部岩浆局部扰动。在2002~2005年火山活动期间，CO总量、O₃总量、水汽总量和地表温度均出现了显著异常且异常出现时段相应准偏差显著增大，反映了气体逸出量在时间上具有不均一性，可能与火山、地震活动过程中地应力的作用和变化有关。从气体异常持续的时间以及地面观测结果综合分析，2002~2005年岩浆房扰动并没有产生长时间的地幔物质流的上升和迁移。在火山活动性增强的时间段内，地表温度出现异常低值，这可能与太平洋板块俯冲过程中引起的断裂拉张增强有关。此外，火山活动过程中逸出的气体进入大气圈产生大气化学反应也会导致高光谱遥感所观测到的气体地球化学异常。研究结果为2002~2005年长白山火山活动性的研究提供了来自高光谱遥感数据的气体地球化学新证据，也对高光谱分辨率遥感数据在火山活动规律的研究以及火山监测中的应用具有一定意义。  相似文献   

Evolution of Mount Fuji,Japan: Inference from drilling into the subaerial oldest volcano,pre‐Komitake     

Mitsuhiro Yoshimoto  Toshitsugu Fujii  Takayuki Kaneko  Atsushi Yasuda  Setsuya Nakada  Akikazu Matsumoto 《Island Arc》2010,19(3):470-488

A buried, old volcanic body (pre‐Komitake Volcano) was discovered during drilling into the northeastern flank of Mount Fuji. The pre‐Komitake Volcano is characterized by hornblende‐bearing andesite and dacite, in contrast to the porphyritic basaltic rocks of Komitake Volcano and to the olivine‐bearing basaltic rocks of Fuji Volcano. K‐Ar age determinations and geological analysis of drilling cores suggest that the pre‐Komitake Volcano began with effusion of basaltic lava flows around 260 ka and ended with explosive eruptions of basaltic andesite and dacite magma around 160 ka. After deposition of a thin soil layer on the pre‐Komitake volcanic rocks, successive effusions of lava flows occurred at Komitake Volcano until 100 ka. Explosive eruptions of Fuji Volcano followed shortly after the activity of Komitake. The long‐term eruption rate of about 3 km³/ka or more for Fuji Volcano is much higher than that estimated for pre‐Komitake and Komitake. The chemical variation within Fuji Volcano, represented by an increase in incompatible elements at nearly constant SiO₂, differs from that within pre‐Komitake and other volcanoes in the northern Izu‐Bonin arc, where incompatible elements increase with increasing SiO₂. These changes in the volcanism in Mount Fuji may have occurred due to a change in regional tectonics around 150 ka, although this remains unproven.  相似文献   

琼北火山群形成的动力学机制及地震现象的新认识   总被引：4，自引：1，他引：3       下载免费PDF全文

刘辉  洪汉净  冉洪流  沈繁銮  赵波  陈会仙 《地球物理学报》2008,51(6):1804-1809

分析世界火山分布图发现琼北火山群分布在一南北向的火山带上，应用有限元方法模拟计算了双俯冲作用下海南岛所在雷琼\|越东火山带的形成机制，结合海南岛精确定位的地震数据和形变观测结果，认为琼北地区可能存在岩墙侵入或张性断裂膨胀，并根据地震数据模拟分析了岩墙侵入对区域应力场及形变的影响.琼北地区精确地震（2000~2006）定位结果表明地震主要集中在一个垂直面上，并且地震带两端有分叉现象.通过地震时空分布特征推测存在岩墙侵入，并通过数值模拟很好地解释了琼北地区地震的分布特征（狗骨头状）以及地表垂向形变东升西降的特征.  相似文献   

Apatite as a monitor of late-stage magmatic processes at Volcán Irazú, Costa Rica   总被引：1，自引：1，他引：0  

Jeremy W. Boyce  Richard L. Hervig 《Contributions to Mineralogy and Petrology》2009,157(2):135-145

Apatite phenocrysts from the 1963 and 1723 eruptions of Irazú volcano (Costa Rica) record a volatile evolution history that confirms previous melt inclusion studies, and provides additional information concerning the relative and absolute timing of subvolcanic magmatic events. Measurements of H, Cl, and F by secondary ion mass spectrometry reveal multiple populations of apatite in both 1723 and 1963 magmas. Assuming nominal apatite/melt partition coefficients allows us to compare the pattern of melt inclusions and apatites in ternary space, demonstrating the fidelity of the record preserved in apatite, and revealing a complex history of magma mixing with at least two components. The preservation of heterogeneous populations of apatite and of internally heterogeneous crystals requires short timescales (days to years) for these magmatic processes to occur.  相似文献   

Classification of seismic signals at Villarrica volcano (Chile) using neural networks and genetic algorithms     

Gloria Curilem  Jorge Vergara  Gustavo Fuentealba  Gonzalo Acuña  Max Chacón 《Journal of Volcanology and Geothermal Research》2009

Each volcano has its own unique seismic activity. The aim of this work is to construct a system able to classify seismic signals for the Villarrica volcano, one of the most active volcanoes in South America. Since seismic signals are the result of particular processes inside the volcano's structure, they can be used to forecast volcanic activity. This paper describes the different kinds of seismic signals recorded at the Villarrica volcano and their significance. Three kind of signals were considered as most representative of this volcano's activity: the long-period, the tremor, and the energetic tremor signals. A classifier is implemented to read the seismic registers at 30-second intervals, extract the most relevant features of each interval, and classify them into one of the three kinds of signals considered as most representative of this particular volcano. To do so, 1033 different kinds of 30-s signals were extracted and classified by a human expert. A feature extraction process was applied to obtain the main characteristics of each of them. This process was developed using criteria which have been shown by others to effectively classify seismic signals, based on the experience of a human expert. The classifier was implemented with a Multi-Layer Perceptron (MLP) artificial neural network whose architecture and training process were optimized by means of a genetic algorithm. This technique searched for the most adequate MLP configuration to improve the classification performance, optimizing the number of hidden neurons, the transfer functions of the neurons, and the training algorithm. The optimization process also performed a feature selection to reduce the number of signal features, optimizing the number of network inputs. The results show that the optimized classifier reaches more than 93% exactitude. identifying the signals of each kind. The amplitude of the signals is the most important feature for its classification, followed by its frequency content. The described methodology can be used to classify more seismic signals to improve the study of the activity of this volcano or to extend the study to other active volcanoes of the region.  相似文献   

Automatic classification of dome instabilities based on Doppler radar measurements at Merapi volcano, Indonesia: Part I     

M. Vöge  M. Hort 《Geophysical Journal International》2008,172(3):1188-1206

Monitoring lava dome instabilities is crucial to efficiently monitor active dome building volcanoes. The Doppler radar technique provides a unique opportunity to gather information about the number of instability events occurring at the growing dome and about the dynamic processes that take place during different types of instabilities. So far, three different kinds of processes have been identified: sliding material, gravitational break-offs and explosive outbursts. In addition, Doppler radars provide rain measurements, which can be used to investigate possible correlations between rainfall and dome activity. Two radar systems have been installed at Merapi volcano in October 2001 and January 2005 to continuously monitor dome instabilities. Due to the large number of instability events that occur during times of high activity, manual processing and analysis of instability events is not practical for monitoring purposes. Therefore, an automatic classification system has been developed, which is capable of identifying different kinds of instabilities as well as rainfall. Two different kinds of classifier models have been applied: (1) neural network and (2) K-nearest-neighbour classifier model. Both classify Doppler spectra according to the underlying dynamic process, that is, rain, sliding material, gravitational break-off or explosive outburst. The classifiers are able to identify disturbances, which have no physical source, but are merely artefacts from the radar device itself. Because radar events are sequences of Doppler spectra, a rule set has been defined, which finally determines the event class. All classifiers have been trained and tested on independent data sets to estimate the classification performance. The overall classification rate is about 90 per cent. Discrimination of instabilities and non-volcanic events reaches about 98 per cent accuracy.  相似文献   

Evolution of the late Pleistocene Mojanda–Fuya Fuya volcanic complex (Ecuador), by progressive adakitic involvement in mantle magma sources     

Claude Robin  Jean-Philippe Eissen  Pablo Samaniego  Hervé Martin  Minard Hall  Joseph Cotten 《Bulletin of Volcanology》2009,71(3):233-258

The Mojanda–Fuya Fuya Volcanic Complex consists of two nearby volcanoes, Mojanda and Fuya Fuya. The older one, Mojanda volcano (0.6 to 0.2 Ma), was first constructed by andesites and high-silica andesites forming a large stratovolcano (Lower Mojanda). This edifice was capped by a basaltic andesite and andesitic cone (Upper Mojanda), which collapsed later to form a 3-km-wide summit caldera, after large phreatomagmatic eruptions. The Lower Fuya Fuya edifice was constructed by the extrusion of viscous Si-rich andesitic lavas and dacitic domes, and the emission of a thick sequence of pyroclastic-flow and fallout deposits which include two voluminous rhyolitic layers. An intermediate construction phase at Fuya Fuya is represented by a mainly effusive cone, andesitic in composition (San Bartolo edifice), the construction of which was interrupted by a major sector collapse in the Late Pleistocene. Finally, a complex of thick siliceous lavas and domes was emplaced within the avalanche amphitheatre, forming the Upper Fuya Fuya volcanic centre. This paper shows that the general evolution from an effusive to an explosive eruptive style is related to a progressive adakitic contribution to the magma source. Although all the rocks of the complex are included in the medium-K field of continental arcs, the Fuya Fuya suite (61–75 wt.% SiO₂) shows depletion in Y and HREE and high Sr/Y and La/Yb values, compared to the less silicic Mojanda suite (55–66.5 wt.% SiO₂). The Mojanda calc-alkaline suite was generated by partial melting of an adakite-metasomatised mantle source that left a residue with 2% garnet, followed by fractional crystallization of dominant plagioclase + pyroxene + olivine at shallow, intra-crustal depths. For Fuya Fuya, geochemical and mineralogical data suggest either (1) partial melting of a similar metasomatised mantle with more garnet in the residue (4%), followed by fractional crystallization involving plagioclase, amphibole and pyroxene, or (2) mixing of mafic mantle-derived magma from the Mojanda suite and slab melts, followed by the same fractional crystallization process.  相似文献