• Thomas BLASCHKE - Josef STROBL - Julia WEGMAYR (Eds.)

GI_Forum 2021, Volume 9, Issue 1

12th International Symposium on Digital Earth

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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at

GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.


Starting 2016, GI_Forum publishes two issues a Year.
Joumal Information is available at: GI-Forum

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GI_Forum 2021, Volume 9, Issue 1

ISSN 2308-1708
Online Edition

ISBN 978-3-7001-8947-3
Online Edition



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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2,
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: bestellung.verlag@oeaw.ac.at
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Generation of Spatial Profiles and Mapping of Volcanic Ash Distribution

    Malini Krishnan, Rajan Krishnan Sundara

GI_Forum 2021, Volume 9, Issue 1, pp. 13-23, 2021/06/29

12th International Symposium on Digital Earth

doi: 10.1553/giscience2021_01_s13

doi: 10.1553/giscience2021_01_s13


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doi:10.1553/giscience2021_01_s13



doi:10.1553/giscience2021_01_s13

Abstract

Defining spatial distribution of airborne volcanic ash in the neighbourhood of an erupting volcano is a synoptic scale problem, severely impacting lives and livelihoods. Robust algorithms are needed to model such complex phenomenon from sparse field data. This study investigated optimal modelling of the spatial dispersion of ash using Empirical Bayesian Kriging (EBK): a geostatistical, probabilistic algorithm. Both distance and ash temperature values of samples from the 2010 Icelandic eruption were spatially correlated using semivariograms to generate prediction and error surfaces. Results showed that block averages were 90% accurate as validated against NCEP NWP model data. The work supports the utility of EBK in datasets where spatial autocorrelation is not significant. Furthermore, the results could help generate risk maps to delineate safety zones for aircrafts.

Keywords: volcanic ash, kriging, geostatistics, spatial analysis

Published Online: 2021/06/29 09:15:47

Object Identifier: 0xc1aa5572 0x003c9b48

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Rights: https://creativecommons.org/licenses/by-nd/4.0/