Please use this identifier to cite or link to this item:
AuthorsLo Castro, Maria Deborah* 
Andronico, Daniele* 
TitleGrain size distributions of volcanic particles by CAMSIZER
Issue DateJun-2009
KeywordsCamsizer, grainsize, granulometrie, piroclastiti, analisi di immagine,
Subject Classification04. Solid Earth::04.08. Volcanology::04.08.05. Volcanic rocks 
04. Solid Earth::04.08. Volcanology::04.08.07. Instruments and techniques 
AbstractGrain size distribution is a key parameter in physical volcanology to describe and characterize tephra fall deposits. Walker (1973) used grain size parameters to propose a classification scheme of explosive volcanic eruptions. More recently, the role of grain size populations of eruptive mixtures at the vent has been widely considered a crucial input parameter for the application of numerical models simulating both plume and tephra dispersal (e.g. Cioni et al., 2003; Andronico et al., 2008; Scollo et al., 2008). Grain size analysis can be performed by various techniques that differ in their applicability, technology and affordability. The most commonly used technique is sieving, performed by a nested column of sieves arranged in decreasing order of aperture size ( Sieving can be performed manually or by machine shaking, usually in the particle range from 64 mm to less than 32 µm. Both these procedures are cumbersome, time-consuming and subject to many errors. Here, we present a new methodology to measure the distribution of volcanic particles by CAMSIZER® (Figure 1), an instrument developed by Retsch Technology GmbH (Haan) and Jenoptik AG (Jena) in Germany (see at CAMSIZER is a compact laboratory instrument for the simultaneous measurement of particle size distribution and particle shape of incoherent materials in the range of 30 µm to 30 mm, based on digital image processing. The sample is fed in from a vibrating feed channel that controls particles falling through the measurement field, where images of the particle flow are recorded by two digital cameras (Basic and Zoom) with different resolutions (Andronico et al., 2009). The Basic camera provides the analysis of the larger particles, while the Zoom camera focuses on smaller particles furnishing high resolution images of the finer classes of the wide measuring range. Software created by Retsch Technology enables processing digital images and providing grain size and shape parameters. Although this instrument is becoming very common in industry for quality control, research and production monitoring of very different kinds of materials, it has never been used before in volcanology. CAMSIZER has recently been installed at Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania (INGV-CT) to measure grain-size distribution of volcanic particles within the volcanic monitoring activity of Eastern Sicily (Lo Castro and Andronico, 2008). As is well-known, this area is characterized by the presence of two of the most active volcanoes in the world, Mt. Etna and Stromboli, which commonly produce large quantities of tephra (e.g. Rosi et al., 2000; Alparone et al., 2007). The use of CAMSIZER on volcanic products ranging from fine lapilli to ash have allowed us to obtain detailed particle size analysis and drastically reduce the work and measuring time needed in classical sieve analysis. To optimize these objectives, CAMSIZER has been tested on different materials, not only volcanic, in order to calibrate the instrument and compare results with those obtained by sieving. In particular, we present results derived by two different kinds of test: the first regards repeatability by measuring the same sample several times to determine the accuracy of the instrument, the second concerns the compatibility between sieve analysis and CAMSIZER results. Our work suggests that CAMSIZER may constitute a good tool to improve grain size analysis in volcanology and thus help in tephra hazard assessments.
Appears in Collections:Conference materials

Files in This Item:
File Description SizeFormat 
Abstract_LoCastro_Andronico2009.pdfExtended Abstract45.89 kBAdobe PDFView/Open
Show full item record

Page view(s)

checked on Apr 26, 2017


checked on Apr 26, 2017

Google ScholarTM