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Showing 1 to 8 of 8 for “"Merapi"”.

  1. Cultural Responses to volcanic hazards on Mt Merapi, Indonesia

    Over the last decade an interdisciplinary science has evolved in order to reduce the impact of natural hazards by incorporating social sciences into physical hazard studies. This science has revealed that a community's ability to anticipate, cope with and recover from the impact of natural hazards …

    plymouth Repository record for Cultural Responses to volcanic hazards on Mt Merapi, Indonesia (opens in a new tab)

  2. RESISTIVITY STRUCTURE BENEATH SAKURAJIMA AND MERAPI VOLCANOES INFERRED FROM MAGNETOTELLURIC(MT) SURVEY

    本文データは平成22年度国立国会図書館の学位論文(博士)のデジタル化実施により作成された画像ファイルを基にpdf変換したものである

    kyoto Repository record for RESISTIVITY STRUCTURE BENEATH SAKURAJIMA AND MERAPI VOLCANOES INFERRED FROM MAGNETOTELLURIC(MT) SURVEY (opens in a new tab)

  3. Continuous automatic classification of seismic signals of volcanic origin at Mt. Merapi, Java, Indonesia

    … kontinuierlichen eruptiven Aktivität zählt der Merapi zu den gefährlichsten Vulkanen der Welt. Der Merapi befindet sich im Zentralteil der dicht bevölkerten Insel Java (Indonesien). Selbst kleinere Ausbrüche des Merapi stellen deswegen eine große Gefahr für die ansässige Bevölkerung in der …

    potsdam-diss Repository record for Continuous automatic classification of seismic signals of volcanic origin at Mt. Merapi, Java, Indonesia (opens in a new tab)

  4. Characterization of volcanic ash from 2010 Mt Merapi, Indonesia eruption by neutron activation analysis and leaching analysis

    This research was able to identify a wide range of elements present in fresh volcanic ash from a 2010 eruption in Indonesia using varied instrumental neutron activation analysis techniques. The ash was then leached into slightly acidic distilled water meant to simulate rainwater. This thesis …

    texas Repository record for Characterization of volcanic ash from 2010 Mt Merapi, Indonesia eruption by neutron activation analysis and leaching analysis (opens in a new tab)

  5. Transitions between effusive and explosive activity at Merapi volcano, Indonesia: a volcanological and petrological study of the 2006 and 2010 eruptions.

    The 2010 explosive eruption (VEI 4) of Merapi volcano, Indonesia, was the volcano’s largest since 1872. In contrast, volcanism over the last century has been characterised by dome-building and gravitational dome collapse, such as in 2006 (VEI 1). The driving forces behind effusive and explosive …

    east-anglia Repository record for Transitions between effusive and explosive activity at Merapi volcano, Indonesia: a volcanological and petrological study of the 2006 and 2010 eruptions. (opens in a new tab)

  6. Cultures of Forecasting: Volatile and Vulnerable Nature, Knowledge, and the Future of Uncertainty

    … a sultans retinue on the active volcano, Mount Merapi, Indonesia. The project aims to understand how practices of forecasting generate futures, mobilize, and organise anticipation, how time is known, and populations governed. It looks at the way that publics emerge through forecasting …

    cambridge Repository record for Cultures of Forecasting: Volatile and Vulnerable Nature, Knowledge, and the Future of Uncertainty (opens in a new tab)

  7. Die Fragmentierung hochviskoser Magmen

    … and basaltic Andesites of the 1994 eruption of Merapi (Java, Indonesia). The experimental investigation, the methodological and technical development are scope of the presented dissertation.

    lmu-germany Repository record for Die Fragmentierung hochviskoser Magmen (opens in a new tab)

  8. Recognition and investigation of temporal patterns in seismic wavefields using unsupervised learning techniques

    … of seismicity close to an active volcano (Mount Merapi, Java, Indonesia) shows that two typical volcano-seismic events (VTB and Guguran) can be detected and distinguished by clustering. In contrast, so-called MP events cannot be discriminated. Comparable results are obtained for selected features …

    potsdam-diss Repository record for Recognition and investigation of temporal patterns in seismic wavefields using unsupervised learning techniques (opens in a new tab)