A step-by-step evaluation of empirical methods to quantify eruption source parameters from tephra-fall deposits
This paper describes the step-by-step process of characterizing tephra-fall deposits based on isopach, isomass and isopleth maps as well as thickness transects at different distances from their source. It covers the most frequently used empirical methods of integration (i.e., exponential, power–law...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
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2019
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| Online Access: | https://hdl.handle.net/10356/89204 http://hdl.handle.net/10220/49316 |
| _version_ | 1811676847784591360 |
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| author | Biass, Sébastien Bonadonna, Costanza Houghton, Bruce F. |
| author2 | Asian School of the Environment |
| author_facet | Asian School of the Environment Biass, Sébastien Bonadonna, Costanza Houghton, Bruce F. |
| author_sort | Biass, Sébastien |
| collection | NTU |
| description | This paper describes the step-by-step process of characterizing tephra-fall deposits based on isopach, isomass and isopleth maps as well as thickness transects at different distances from their source. It covers the most frequently used empirical methods of integration (i.e., exponential, power–law and Weibull) and provides a description of the key physical parameters that can be retrieved from tephra-fall deposits. To streamline this process, a Matlab function called TephraFits is proposed, which is highly customizable and also guides the interpretation of the results. The function calculates parameters such as the deposit volume/mass, the VEI/magnitude, and the rates of thickness–decay away from the source and assists in eruption classification using deposit–based schemes. The function also contains a stochastic mode that can be used to propagate the uncertainty from field data to the quantification of eruption source parameters. The use of this function is demonstrated using the the 1180 ±80 years B.P. andesitic subplinian/Plinian tephra deposit Layer 5 of Cotopaxi volcano, Ecuador. In addition, we constrain the often delicate choice of the distal integration limit of the power–law method from synthetic deposits produced with the advection–diffusion model Tephra2. |
| first_indexed | 2024-10-01T02:27:59Z |
| format | Journal Article |
| id | ntu-10356/89204 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:27:59Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/892042020-09-26T21:24:42Z A step-by-step evaluation of empirical methods to quantify eruption source parameters from tephra-fall deposits Biass, Sébastien Bonadonna, Costanza Houghton, Bruce F. Asian School of the Environment Earth Observatory of Singapore Tephra-fall Deposits Volume Science::Geology This paper describes the step-by-step process of characterizing tephra-fall deposits based on isopach, isomass and isopleth maps as well as thickness transects at different distances from their source. It covers the most frequently used empirical methods of integration (i.e., exponential, power–law and Weibull) and provides a description of the key physical parameters that can be retrieved from tephra-fall deposits. To streamline this process, a Matlab function called TephraFits is proposed, which is highly customizable and also guides the interpretation of the results. The function calculates parameters such as the deposit volume/mass, the VEI/magnitude, and the rates of thickness–decay away from the source and assists in eruption classification using deposit–based schemes. The function also contains a stochastic mode that can be used to propagate the uncertainty from field data to the quantification of eruption source parameters. The use of this function is demonstrated using the the 1180 ±80 years B.P. andesitic subplinian/Plinian tephra deposit Layer 5 of Cotopaxi volcano, Ecuador. In addition, we constrain the often delicate choice of the distal integration limit of the power–law method from synthetic deposits produced with the advection–diffusion model Tephra2. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) Published version 2019-07-12T03:27:55Z 2019-12-06T17:20:11Z 2019-07-12T03:27:55Z 2019-12-06T17:20:11Z 2019 Journal Article Biass, S., Bonadonna, C., & Houghton, B. F. (2019). A step-by-step evaluation of empirical methods to quantify eruption source parameters from tephra-fall deposits. Journal of Applied Volcanology, 8(1), 1-. doi:10.1186/s13617-018-0081-1 https://hdl.handle.net/10356/89204 http://hdl.handle.net/10220/49316 10.1186/s13617-018-0081-1 en Journal of Applied Volcanology © 2019 The Author(s).Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 16 p. application/pdf |
| spellingShingle | Tephra-fall Deposits Volume Science::Geology Biass, Sébastien Bonadonna, Costanza Houghton, Bruce F. A step-by-step evaluation of empirical methods to quantify eruption source parameters from tephra-fall deposits |
| title | A step-by-step evaluation of empirical methods to quantify eruption source parameters from tephra-fall deposits |
| title_full | A step-by-step evaluation of empirical methods to quantify eruption source parameters from tephra-fall deposits |
| title_fullStr | A step-by-step evaluation of empirical methods to quantify eruption source parameters from tephra-fall deposits |
| title_full_unstemmed | A step-by-step evaluation of empirical methods to quantify eruption source parameters from tephra-fall deposits |
| title_short | A step-by-step evaluation of empirical methods to quantify eruption source parameters from tephra-fall deposits |
| title_sort | step by step evaluation of empirical methods to quantify eruption source parameters from tephra fall deposits |
| topic | Tephra-fall Deposits Volume Science::Geology |
| url | https://hdl.handle.net/10356/89204 http://hdl.handle.net/10220/49316 |
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