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Long term exposure to respirable volcanic ash on Montserrat: a time series simulation

Long term exposure to respirable volcanic ash on Montserrat: a time series simulation
Long term exposure to respirable volcanic ash on Montserrat: a time series simulation
Frequent ash fallout from long-lived eruptions (with active phases greater than 5 years) may lead to local populations experiencing unacceptably high cumulative exposures to respirable particulate matter. Ash from Montserrat has been shown to contain significant levels of cristobalite and other reactive agents that are associated with an increased risk of developing pneumoconiosis (including silicosis) and other long-term health problems. There are a number of difficulties associated with estimating risks in populations due to uncertain and wide ranging individual exposures, change in behaviour with time and the natural variation in individual response. Present estimates of risk in workers and other population groups are simplifications based on a limited number of exposure measurements taken on Montserrat (1996–1999), and exposure−response curves from epidemiological studies of coal workers exposed to siliceous dust. In this paper we present a method for calculating the long-term cumulative exposure to cristobalite from volcanic ash by Monte Carlo simulation. Code has been written to generate synthetic time series for volcanic activity, rainfall, ash deposition and erosion to give daily ash deposit values and cristobalite fraction at a range of locations. The daily mean personal exposure for PM10 and cristobalite is obtained by sampling from a probability distribution, with distribution parameters dependent on occupation, ground deposit depth and daily weather conditions. Output from multiple runs is processed to calculate the exceedance probability for cumulative exposure over a range of occupation types, locations and exposure periods. Results are interpreted in terms of current occupational standards, and epidemiological exposure−response functions for silicosis are applied to quantify the long-term health risk. Assuming continuing volcanic activity, median risk of silicosis (profusion 1/0 or higher) for an average adult after 20 years continuous exposure is estimated to be approximately 0.5% in northern Montserrat to 1.6% in Cork Hill. The occupational group with the highest exposure to ash are gardeners, with a corresponding 2% to 4% risk of silicosis. In situations where opportunities for in-depth exposure studies are limited, computer simulations provide a good indication of risk based on current expert knowledge. By running the code for a range of input scenarios, the cost-benefit of mitigation measures (such as a programme of active ash clearance) can be estimated. Results also may be used to identify situations where full exposure studies or fieldwork would be beneficial.
Monte Carlo, Montserrat, respirable health, risk, silicosis, volcanic ash, cristobalite
0258-8900
266-284
Hincks, TK
9654038a-2f5c-40bc-8f0e-33afc0b1fb71
Aspinall, WP
25ef2452-87f4-47f7-8a3b-49b33dd1c377
Baxter, PJ
b041a9ac-1970-4c6c-94e3-7e566472b792
Searl, A
2f2ba7a1-12e7-4c0f-aea6-b9e319c8bfec
Sparks, RSJ
68a691b3-ce7a-47fb-929d-c2392048ab60
Woo, G
ebb38930-3015-42b7-97bc-d81b377b01a0
Hincks, TK
9654038a-2f5c-40bc-8f0e-33afc0b1fb71
Aspinall, WP
25ef2452-87f4-47f7-8a3b-49b33dd1c377
Baxter, PJ
b041a9ac-1970-4c6c-94e3-7e566472b792
Searl, A
2f2ba7a1-12e7-4c0f-aea6-b9e319c8bfec
Sparks, RSJ
68a691b3-ce7a-47fb-929d-c2392048ab60
Woo, G
ebb38930-3015-42b7-97bc-d81b377b01a0

Hincks, TK, Aspinall, WP, Baxter, PJ, Searl, A, Sparks, RSJ and Woo, G (2005) Long term exposure to respirable volcanic ash on Montserrat: a time series simulation. Bulletin of Volcanology, 68 (3), 266-284. (doi:10.1007/s00445-005-0006-9).

Record type: Article

Abstract

Frequent ash fallout from long-lived eruptions (with active phases greater than 5 years) may lead to local populations experiencing unacceptably high cumulative exposures to respirable particulate matter. Ash from Montserrat has been shown to contain significant levels of cristobalite and other reactive agents that are associated with an increased risk of developing pneumoconiosis (including silicosis) and other long-term health problems. There are a number of difficulties associated with estimating risks in populations due to uncertain and wide ranging individual exposures, change in behaviour with time and the natural variation in individual response. Present estimates of risk in workers and other population groups are simplifications based on a limited number of exposure measurements taken on Montserrat (1996–1999), and exposure−response curves from epidemiological studies of coal workers exposed to siliceous dust. In this paper we present a method for calculating the long-term cumulative exposure to cristobalite from volcanic ash by Monte Carlo simulation. Code has been written to generate synthetic time series for volcanic activity, rainfall, ash deposition and erosion to give daily ash deposit values and cristobalite fraction at a range of locations. The daily mean personal exposure for PM10 and cristobalite is obtained by sampling from a probability distribution, with distribution parameters dependent on occupation, ground deposit depth and daily weather conditions. Output from multiple runs is processed to calculate the exceedance probability for cumulative exposure over a range of occupation types, locations and exposure periods. Results are interpreted in terms of current occupational standards, and epidemiological exposure−response functions for silicosis are applied to quantify the long-term health risk. Assuming continuing volcanic activity, median risk of silicosis (profusion 1/0 or higher) for an average adult after 20 years continuous exposure is estimated to be approximately 0.5% in northern Montserrat to 1.6% in Cork Hill. The occupational group with the highest exposure to ash are gardeners, with a corresponding 2% to 4% risk of silicosis. In situations where opportunities for in-depth exposure studies are limited, computer simulations provide a good indication of risk based on current expert knowledge. By running the code for a range of input scenarios, the cost-benefit of mitigation measures (such as a programme of active ash clearance) can be estimated. Results also may be used to identify situations where full exposure studies or fieldwork would be beneficial.

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More information

Published date: 29 November 2005
Keywords: Monte Carlo, Montserrat, respirable health, risk, silicosis, volcanic ash, cristobalite

Identifiers

Local EPrints ID: 458115
URI: http://eprints.soton.ac.uk/id/eprint/458115
ISSN: 0258-8900
PURE UUID: 61d37bdf-fd27-4d70-a5f6-32a9364f570f
ORCID for TK Hincks: ORCID iD orcid.org/0000-0003-4537-6194

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Date deposited: 28 Jun 2022 17:13
Last modified: 17 Mar 2024 03:53

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Contributors

Author: TK Hincks ORCID iD
Author: WP Aspinall
Author: PJ Baxter
Author: A Searl
Author: RSJ Sparks
Author: G Woo

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