Publication Date:
2021-09-30
Description:
Abstract
Description:
This data publication includes particle size distribution data of natural volcanic ash samples used as starting material for laboratory experiments simulating the aggregation/disaggregation of colliding volcanic ash particles. Full details of the experimental method can be found in Del Bello et. al. (2015) and in the data description file provided here.Here we report raw particle size distribution data obtained through separation analysis. Two types of volcanic ash were analysed: i) andesitic ash from the Sakurajima volcano (Japan), collected from July 2013 deposits (named Sak sample); ii) phonolitic ash collected from the basal fallout layer of the ~10 ka old Pomici Principali eruptive unit [Di Vito et al., 1999]) of the Campi Flegrei (named Ppa). For both compositions, 3 different starting materials were obtained by hand sieving the natural samples into three main particle size classes: (i) 〈32 μm, (ii) 32–63 μm, and (iii) 63–90 μm. For the phonolitic composition Ppa two additional starting materials were obtained by mixing the 〈32 μm and the 32–63 μm classes in known proportions. For each starting material, the grain size distribution of the sample was measured by a multiwavelength separation analyzer (LUMIReader®, https://www.lum-gmbh.com/lumireader_en.html). This device measures space and time resolved profiles of the transmitted light across the water-diluted sample (5% solid content) during sedimentation of particles. The cumulative volume-weighted particle size distribution is obtained from the extinction profiles using the multi-wavelength Particle size Analyser modulus (PSA). Details on the sample preparation procedure can be found in Detloff et al. (2006). For each measurement performed (see Table 1), a pdf file and a excel file are provided. The pdf file lists the analysis summary, including a description of the analysis settings and conditions, materials used, and distribution model adopted for the fit. It also provides graphs of the obtained volume weighted cumulative grain size distribution, and of the measured transmission profiles for each wavelength (870 nm, 630 nm and 470 nm, respectively). The Excel (*.xlsx format) file include 4 datasheets, listing the results (sheet name ending *_R) and the fit data (sheet names ending *_F01,*_F02, *_F03) obtained for the different instrument wavelength. In each datasheet the following data are listed in the columns: particle grain size (x3 in µm), volume weighted distribution (Q3(x) in %), Martin diameter (x3m in µm), volume weighted density distribution (q3(x) in 1/µm). The fit datasheets also include information on the fit such as distribution model used and distribution parameters (quantiles, median, standard deviation, span, etc..).A full list of the files included is given in List_of_files_DelBello et al 2017.pdf.
Description:
TableOfContents
Description:
Measurement name Sample typeSize class (µm)* Ppamag32_01Phonolite (Ppa)32-63 Ppamag32_03Phonolite (Ppa)32-63 Ppamag32_61Phonolite (Ppa)32-63Ppamag64_01Phonolite (Ppa)63-90Ppamin32_00Phonolite (Ppa)〈32 Ppamin32_02Phonolite (Ppa)〈32 Ppamin32_35Phonolite (Ppa)〈32 Ppamix32_02Phonolite (Ppa)〈32 + 32-63 (1:1) Ppamix32_03Phonolite (Ppa)〈32 + 32-63 (1:10)Ppamix32_04Phonolite (Ppa)〈32 + 32-63 (1:5) Ppamix32_05Phonolite (Ppa)〈32 + 32-63 (1:2) Ppamix32_06Phonolite (Ppa)〈32 + 32-63 (1:1) Ppamix32_70Phonolite (Ppa)〈32 + 32-63 (1:10) Ppamix32_71Phonolite (Ppa)〈32 + 32-63 (1:5) Ppamix32_72Phonolite (Ppa)〈32 + 32-63 (1:2) Ppamix32_73Phonolite (Ppa)〈32 + 32-63 (1:1) Ppamix63_02Phonolite (Ppa)〈32 + 63-90 (1:1) Ppatotal_01Phonolite (Ppa)total Sakmag32_02Andesite (Sak)32-63 Sakmag63_01Andesite (Sak)32-63 Sakmag90_01Andesite (Sak)63-90 Sakmin32_01Andesite (Sak)〈32 Sakmin32_02Andesite (Sak)〈32 Saktotal_01Andesite (Sak)totalTable 1. List of particle size characterization measurements included in this dataset. *When mixed sample are used, the respective weight proportion of the component classes used are reported in brackets.
Keywords:
multi-wavelength separation analyser
;
grain size distribution
;
phonolite
;
andesite
;
EPOS
;
Multi-scale laboratories
;
rock and melt physical properties
Type:
Dataset
Format:
19273360 Bytes
Format:
3 Files
Format:
application/pdf
Format:
application/pdf
Format:
application/x-zip-compressed
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