Extensible database of validated biomass smoke events for health research

Ivan C. Hanigan; Geoffrey G. Morgan; Grant J. Williamson; Farhad Salimi; Sarah B. Henderson; Murray R. Turner; David M.J.S. Bowman; Fay H. Johnston

doi:10.3390/fire1030050

Extensible database of validated biomass smoke events for health research

Ivan C. Hanigan, Geoffrey G. Morgan, Grant J. Williamson, Farhad Salimi, Sarah B. Henderson, Murray R. Turner, David M.J.S. Bowman, Fay H. Johnston

Health Research Institute

Research output: Contribution to journal › Other Journal Article › peer-review

3 Citations (Scopus)

Abstract

The extensible Biomass Smoke Validated Events Database is an ongoing, community driven, collection of air pollution events which are known to be caused by vegetation fires such as bushfires (also known as wildfire and wildland fires), or prescribed fuel reduction burns, and wood heaters. This is useful for researchers of health impacts who need to distinguish smoke from vegetation versus other sources. The overarching aim is to study statistical associations between biomass smoke pollution and health. Extreme pollution events may also be caused by dust storms or fossil fuel smog events and so validation is necessary to ensure the events being studied are from biomass. This database can be extended by contribution from other researchers outside the original team. There are several available protocols for adding validated smoke events to the database, to ensure standardization across datasets. Air pollution data can be included, and free software was created for identification of extreme values. Protocols are described for reference material needed as supporting evidence for event days. The utility of this database has previously been demonstrated in analyses of hospitalization and mortality. The database was created using open source software that works across operating systems. The prospect for future extensions to the database is enhanced by the description in this paper, and the availability of these data on the open access Github repository enables easy addition to the database with new data by the research community.

Original language	English
Article number	50
Pages (from-to)	1-8
Number of pages	8
Journal	Fire
Volume	1
Issue number	3
DOIs	https://doi.org/10.3390/fire1030050
Publication status	Published - Dec 2018

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10.3390/fire1030050

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@article{85056e2f56064aec94d5ef5e3e5b1573,

title = "Extensible database of validated biomass smoke events for health research",

abstract = "The extensible Biomass Smoke Validated Events Database is an ongoing, community driven, collection of air pollution events which are known to be caused by vegetation fires such as bushfires (also known as wildfire and wildland fires), or prescribed fuel reduction burns, and wood heaters. This is useful for researchers of health impacts who need to distinguish smoke from vegetation versus other sources. The overarching aim is to study statistical associations between biomass smoke pollution and health. Extreme pollution events may also be caused by dust storms or fossil fuel smog events and so validation is necessary to ensure the events being studied are from biomass. This database can be extended by contribution from other researchers outside the original team. There are several available protocols for adding validated smoke events to the database, to ensure standardization across datasets. Air pollution data can be included, and free software was created for identification of extreme values. Protocols are described for reference material needed as supporting evidence for event days. The utility of this database has previously been demonstrated in analyses of hospitalization and mortality. The database was created using open source software that works across operating systems. The prospect for future extensions to the database is enhanced by the description in this paper, and the availability of these data on the open access Github repository enables easy addition to the database with new data by the research community.",

keywords = "Bushfire, Dust, Extreme air pollution, Health impacts, Smoke",

author = "Hanigan, {Ivan C.} and Morgan, {Geoffrey G.} and Williamson, {Grant J.} and Farhad Salimi and Henderson, {Sarah B.} and Turner, {Murray R.} and Bowman, {David M.J.S.} and Johnston, {Fay H.}",

note = "Funding Information: Funding: This research was funded by grants from the Australian Research Council (LP0882048) and the National Health and Medical Research Council (490057). We would like to gratefully acknowledge the Australian National Data Service (ANDS) for funding support for this project through the Collection Enhancement Projects program and also the ANDS funding received for the SWISH Climate Impacts project (project code AP07). The funding bodies had no role in the design of the study, collection, analysis, and interpretation of data or writing the manuscript. Publisher Copyright: {\textcopyright} 2018 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2018",

month = dec,

doi = "10.3390/fire1030050",

language = "English",

volume = "1",

pages = "1--8",

journal = "Fire",

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T1 - Extensible database of validated biomass smoke events for health research

AU - Hanigan, Ivan C.

AU - Morgan, Geoffrey G.

AU - Williamson, Grant J.

AU - Salimi, Farhad

AU - Henderson, Sarah B.

AU - Turner, Murray R.

AU - Bowman, David M.J.S.

AU - Johnston, Fay H.

N1 - Funding Information: Funding: This research was funded by grants from the Australian Research Council (LP0882048) and the National Health and Medical Research Council (490057). We would like to gratefully acknowledge the Australian National Data Service (ANDS) for funding support for this project through the Collection Enhancement Projects program and also the ANDS funding received for the SWISH Climate Impacts project (project code AP07). The funding bodies had no role in the design of the study, collection, analysis, and interpretation of data or writing the manuscript. Publisher Copyright: © 2018 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2018/12

Y1 - 2018/12

N2 - The extensible Biomass Smoke Validated Events Database is an ongoing, community driven, collection of air pollution events which are known to be caused by vegetation fires such as bushfires (also known as wildfire and wildland fires), or prescribed fuel reduction burns, and wood heaters. This is useful for researchers of health impacts who need to distinguish smoke from vegetation versus other sources. The overarching aim is to study statistical associations between biomass smoke pollution and health. Extreme pollution events may also be caused by dust storms or fossil fuel smog events and so validation is necessary to ensure the events being studied are from biomass. This database can be extended by contribution from other researchers outside the original team. There are several available protocols for adding validated smoke events to the database, to ensure standardization across datasets. Air pollution data can be included, and free software was created for identification of extreme values. Protocols are described for reference material needed as supporting evidence for event days. The utility of this database has previously been demonstrated in analyses of hospitalization and mortality. The database was created using open source software that works across operating systems. The prospect for future extensions to the database is enhanced by the description in this paper, and the availability of these data on the open access Github repository enables easy addition to the database with new data by the research community.

AB - The extensible Biomass Smoke Validated Events Database is an ongoing, community driven, collection of air pollution events which are known to be caused by vegetation fires such as bushfires (also known as wildfire and wildland fires), or prescribed fuel reduction burns, and wood heaters. This is useful for researchers of health impacts who need to distinguish smoke from vegetation versus other sources. The overarching aim is to study statistical associations between biomass smoke pollution and health. Extreme pollution events may also be caused by dust storms or fossil fuel smog events and so validation is necessary to ensure the events being studied are from biomass. This database can be extended by contribution from other researchers outside the original team. There are several available protocols for adding validated smoke events to the database, to ensure standardization across datasets. Air pollution data can be included, and free software was created for identification of extreme values. Protocols are described for reference material needed as supporting evidence for event days. The utility of this database has previously been demonstrated in analyses of hospitalization and mortality. The database was created using open source software that works across operating systems. The prospect for future extensions to the database is enhanced by the description in this paper, and the availability of these data on the open access Github repository enables easy addition to the database with new data by the research community.

KW - Bushfire

KW - Dust

KW - Extreme air pollution

KW - Health impacts

KW - Smoke

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U2 - 10.3390/fire1030050

DO - 10.3390/fire1030050

M3 - Other Journal Article

AN - SCOPUS:85089834176

SN - 2571-6255

VL - 1

SP - 1

EP - 8

JO - Fire

JF - Fire

IS - 3

M1 - 50

ER -

Extensible database of validated biomass smoke events for health research

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