Mapping the 2010 Merapi pyroclastic deposits using dual-polarization Synthetic Aperture Radar (SAR) data

Solikhin, Akhmad; Pinel, Virginie; Vandemeulebrouck, Jean; Thouret, Jean‐Claude; Hendrasto, Muhamad

doi:10.1016/j.rse.2014.11.002

Cited by 33 publications

(17 citation statements)

References 37 publications

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“…This amplitude is a function of local slope relative to the SAR incidence angle, the surface roughness on the length scale of the radar wavelength, and the dielectric constant of the surface material, which changes most with the presence or absence of water (Wadge et al, 2011). In addition the SAR amplitude is a function of the relative radar polarization (Zebker et al, 1987;Saepuloh et al, 2012;Solikhin et al, 2015). However, due to data availability, in this study we only consider single polarization data (HH).…”

Section: Methodsmentioning

confidence: 99%

Using satellite radar amplitude imaging for monitoring syn-eruptive changes in surface morphology at an ice-capped stratovolcano

Arnold

Biggs

Wadge

et al. 2018

Remote Sensing of Environment

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Section: Methodsmentioning

confidence: 99%

Using satellite radar amplitude imaging for monitoring syn-eruptive changes in surface morphology at an ice-capped stratovolcano

Arnold

Biggs

Wadge

et al. 2018

Remote Sensing of Environment

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“…The volumes of PF deposits are generally estimated by multiplying the area they cover by a mean thickness [Alvarado and Soto, 2002;Saucedo et al, 2002;Charbonnier and Gertisser, 2008], or using a series of slopedependent thickness values [Charbonnier and Gertisser, 2011;Solikhin et al, 2015]. In the case of Tungurahua volcano, we determine the area overlaid by valley-confined PF deposits with georeferenced satellite images (from ASTER-TERRA), maps from the literature [Kelfoun et al, 2009;Samaniego et al, 2011;Hall et al, 2013], and field observations made in 2012-2013.…”

Section: Pdc (Pf and Ps) Depositsmentioning

confidence: 99%

Mass budget partitioning during explosive eruptions: insights from the 2006 paroxysm of Tungurahua volcano, Ecuador

Bernard

Eychenne

Pennec

et al. 2016

Geochem Geophys Geosyst

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International audienceHow and how much the mass of juvenile magma is split between vent-derived tephra, PDC deposits and lavas (i.e., mass partition) is related to eruption dynamics and style. Estimating such mass partitioning budgets may reveal important for hazard evaluation purposes. We calculated the volume of each product emplaced during the August 2006 paroxysmal eruption of Tungurahua volcano (Ecuador) and converted it into masses using high-resolution grainsize, componentry and density data. This data set is one of the first complete descriptions of mass partitioning associated with a VEI 3 andesitic event. The scoria fall deposit, near-vent agglutinate and lava flow include 28, 16 and 12 wt. % of the erupted juvenile mass, respectively. Much (44 wt. %) of the juvenile material fed Pyroclastic Density Currents (i.e., dense flows, dilute surges and co-PDC plumes), highlighting that tephra fall deposits do not depict adequately the size and fragmentation processes of moderate PDC-forming event. The main parameters controlling the mass partitioning are the type of magmatic fragmentation, conditions of magma ascent, and crater area topography. Comparisons of our data set with other PDC-forming eruptions of different style and magma composition suggest that moderate andesitic eruptions are more prone to produce PDCs, in proportions, than any other eruption type. This finding may be explained by the relatively low magmatic fragmentation efficiency of moderate andesitic eruptions. These mass partitioning data reveal important trends that may be critical for hazard assessment, notably at frequently active andesitic edifices

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“…Lava dome collapse triggers a range of pyroclastic density currents (PDCs), a general term applied to fast-moving ground-hugging mixtures of hot gas, rock fragments, and ash, which have both dilute, turbulent (surge) and dense pyroclastic flow (PF) end-members [85]. At Merapi these include: (i) high energy dilute, turbulent pyroclastic surges; (ii) valley-confined, relatively dense block-and-ash flows (BAF), comprising juvenile volcanic blocks in an ash matrix, sometimes referred to as Merapi-type nués ardentes [86,87], which travelled as far as 16.5 km during the 2010 eruption [88]; (iii) unconfined and overbank pyroclastic flows; and (iv) dilute ash cloud surges elutriated and decoupled from the denser flows [81,89].…”

Section: Study Areamentioning

confidence: 99%

Modelling Individual Evacuation Decisions during Natural Disasters: A Case Study of Volcanic Crisis in Merapi, Indonesia

et al. 2018

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As the size of human populations increases, so does the severity of the impacts of natural disasters. This is partly because more people are now occupying areas which are susceptible to hazardous natural events, hence, evacuation is needed when such events occur. Evacuation can be the most important action to minimise the impact of any disaster, but in many cases there are always people who are reluctant to leave. This paper describes an agent-based model (ABM) of evacuation decisions, focusing on the emergence of reluctant people in times of crisis and using Merapi, Indonesia as a case study. The individual evacuation decision model is influenced by several factors formulated from a literature review and survey. We categorised the factors influencing evacuation decisions into two opposing forces, namely, the driving factors to leave (evacuate) versus those to stay, to formulate the model. The evacuation decision (to stay/leave) of an agent is based on an evaluation of the strength of these driving factors using threshold-based rules. This ABM was utilised with a synthetic population from census microdata, in which everyone is characterised by the decision rule. Three scenarios with varying parameters are examined to calibrate the model. Validations were conducted using a retrodictive approach by performing spatial and temporal comparisons between the outputs of simulation and the real data. We present the results of the simulations and discuss the outcomes to conclude with the most plausible scenario. of 30year, Indonesia was the fourth most frequently affected Asian country [4]. Among the various natural hazards, volcanic eruptions pose a significant threat to Indonesia, as it is located within the "Ring of Fire" [5]. Merapi is the most active volcano in Indonesia, and the 2010 eruption was ranked third in the world since 2005 in terms of impact [4]. Being in such susceptible areas, people living close to Merapi should, therefore, develop their awareness and preparedness to evacuate when a hazard occurs.Evacuation is an important life-saving action in any disaster [6], with a history as old as human history in saving lives from natural disasters [7]. It takes place by moving people from a hazardous area to a safer place in a very limited time [8]. This time limit depends on the speed of the onset of the hazard. Some hazards occur rapidly, with others more slowly [1,9]. For example, hurricanes or earthquakes happen very quickly, while global temperature variations, rises in sea level, drought, and disease affect society more slowly [9]. For fast-onset hazards, immediate responses leading to evacuation are needed, because being at the wrong place at the wrong time will quickly lead to fatalities. Volcanic eruptions can happen several days after the initial signs of instability, but it is also possible for them to happen several weeks later [10]. Therefore, immediate responses from the surrounding population are needed, but there are often cases of people who refuse, or are reluctant to evacuate from hazardous are...

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Mapping the 2010 Merapi pyroclastic deposits using dual-polarization Synthetic Aperture Radar (SAR) data

Cited by 33 publications

References 37 publications

Using satellite radar amplitude imaging for monitoring syn-eruptive changes in surface morphology at an ice-capped stratovolcano

Using satellite radar amplitude imaging for monitoring syn-eruptive changes in surface morphology at an ice-capped stratovolcano

Mass budget partitioning during explosive eruptions: insights from the 2006 paroxysm of Tungurahua volcano, Ecuador

Modelling Individual Evacuation Decisions during Natural Disasters: A Case Study of Volcanic Crisis in Merapi, Indonesia

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