Effects of spatial and temporal variation in environmental conditions on simulation of wildfire spread
Environmental conditions, such as fuel load and moisture levels, can influence the behaviour of wildfires. These factors are subject to natural small-scale variation which is usually spatially or temporally averaged for modelling fire propagation. The effect of including this variation in propagatio...
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Veröffentlicht in: | Environmental modelling & software : with environment data news 2015-05, Vol.67, p.118-127 |
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creator | Hilton, J.E. Miller, C. Sullivan, A.L. Rucinski, C. |
description | Environmental conditions, such as fuel load and moisture levels, can influence the behaviour of wildfires. These factors are subject to natural small-scale variation which is usually spatially or temporally averaged for modelling fire propagation. The effect of including this variation in propagation models has not previously been fully examined or quantified. We investigate the effects of incorporating three types of variation on the shape and rate of propagation of a fire perimeter: variation in combustion conditions, wind direction and wind speed. We find that increasing the variation of combustion condition decreases the overall rate of propagation. An analytical model, based on the harmonic mean, is presented to explain this behaviour. Variation in wind direction is found to cause the development of rounded flanks due to cumulative chance of outward fluctuations at the sides of the perimeter. Our findings may be used to develop improved models for fire spread prediction.
[Display omitted]
•Implementation of a wildfire spread model based on the level set method.•Investigation of wildfire propagation under stochastic wind and fuel conditions.•Local variation in combustion condition slows the rate of propagation.•Local variation in wind direction is found to increase flank spread.•A harmonic mean is preferential for spatially varying parameters in spread models. |
doi_str_mv | 10.1016/j.envsoft.2015.01.015 |
format | Article |
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[Display omitted]
•Implementation of a wildfire spread model based on the level set method.•Investigation of wildfire propagation under stochastic wind and fuel conditions.•Local variation in combustion condition slows the rate of propagation.•Local variation in wind direction is found to increase flank spread.•A harmonic mean is preferential for spatially varying parameters in spread models.</description><identifier>ISSN: 1364-8152</identifier><identifier>DOI: 10.1016/j.envsoft.2015.01.015</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Combustion ; Computer programs ; Fire growth ; Fires ; Level set ; Mathematical models ; Modelling ; Perimeter propagation ; Simulation ; Spark ; Wildfires ; Wind direction</subject><ispartof>Environmental modelling & software : with environment data news, 2015-05, Vol.67, p.118-127</ispartof><rights>2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-c4570814fc2e81204f16b4ab0adedc2175b30f9d9f417768d88b11ad9beb22a83</citedby><cites>FETCH-LOGICAL-c427t-c4570814fc2e81204f16b4ab0adedc2175b30f9d9f417768d88b11ad9beb22a83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1364815215000468$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids></links><search><creatorcontrib>Hilton, J.E.</creatorcontrib><creatorcontrib>Miller, C.</creatorcontrib><creatorcontrib>Sullivan, A.L.</creatorcontrib><creatorcontrib>Rucinski, C.</creatorcontrib><title>Effects of spatial and temporal variation in environmental conditions on simulation of wildfire spread</title><title>Environmental modelling & software : with environment data news</title><description>Environmental conditions, such as fuel load and moisture levels, can influence the behaviour of wildfires. These factors are subject to natural small-scale variation which is usually spatially or temporally averaged for modelling fire propagation. The effect of including this variation in propagation models has not previously been fully examined or quantified. We investigate the effects of incorporating three types of variation on the shape and rate of propagation of a fire perimeter: variation in combustion conditions, wind direction and wind speed. We find that increasing the variation of combustion condition decreases the overall rate of propagation. An analytical model, based on the harmonic mean, is presented to explain this behaviour. Variation in wind direction is found to cause the development of rounded flanks due to cumulative chance of outward fluctuations at the sides of the perimeter. Our findings may be used to develop improved models for fire spread prediction.
[Display omitted]
•Implementation of a wildfire spread model based on the level set method.•Investigation of wildfire propagation under stochastic wind and fuel conditions.•Local variation in combustion condition slows the rate of propagation.•Local variation in wind direction is found to increase flank spread.•A harmonic mean is preferential for spatially varying parameters in spread models.</description><subject>Combustion</subject><subject>Computer programs</subject><subject>Fire growth</subject><subject>Fires</subject><subject>Level set</subject><subject>Mathematical models</subject><subject>Modelling</subject><subject>Perimeter propagation</subject><subject>Simulation</subject><subject>Spark</subject><subject>Wildfires</subject><subject>Wind direction</subject><issn>1364-8152</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqNkE1LAzEQhvegYK3-BGGPXrom2Y9kTyKlfkDBi55DNplAym5Sk7Tiv3fK9q4wzJCZ930gb1HcUVJRQruHXQX-mILNFSO0rQjFai-KBa27ZiVoy66K65R2hOCaNYvCbqwFnVMZbJn2Kjs1lsqbMsO0DxEfRxUdroMvnS-R7WLwE_iMJx28cacTun2Z3HQYZyWyvt1orIuA0AjK3BSXVo0Jbs9zWXw-bz7Wr6vt-8vb-mm70g3jGXvLiaCN1QwEZaSxtBsaNRBlwGhGeTvUxPamtw3lvBNGiIFSZfoBBsaUqJfF_czdx_B1gJTl5JKGcVQewiFJdBHWi17U_5Ay3nHBWY_SdpbqGFKKYOU-uknFH0mJPMUud_IcuzzFLgnFatH3OPsAv3x0EGXSDrwGg8noLE1wfxB-AYyaklI</recordid><startdate>201505</startdate><enddate>201505</enddate><creator>Hilton, J.E.</creator><creator>Miller, C.</creator><creator>Sullivan, A.L.</creator><creator>Rucinski, C.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope><scope>SOI</scope><scope>7SC</scope><scope>7SU</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201505</creationdate><title>Effects of spatial and temporal variation in environmental conditions on simulation of wildfire spread</title><author>Hilton, J.E. ; Miller, C. ; Sullivan, A.L. ; Rucinski, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-c4570814fc2e81204f16b4ab0adedc2175b30f9d9f417768d88b11ad9beb22a83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Combustion</topic><topic>Computer programs</topic><topic>Fire growth</topic><topic>Fires</topic><topic>Level set</topic><topic>Mathematical models</topic><topic>Modelling</topic><topic>Perimeter propagation</topic><topic>Simulation</topic><topic>Spark</topic><topic>Wildfires</topic><topic>Wind direction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hilton, J.E.</creatorcontrib><creatorcontrib>Miller, C.</creatorcontrib><creatorcontrib>Sullivan, A.L.</creatorcontrib><creatorcontrib>Rucinski, C.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Environmental modelling & software : with environment data news</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hilton, J.E.</au><au>Miller, C.</au><au>Sullivan, A.L.</au><au>Rucinski, C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of spatial and temporal variation in environmental conditions on simulation of wildfire spread</atitle><jtitle>Environmental modelling & software : with environment data news</jtitle><date>2015-05</date><risdate>2015</risdate><volume>67</volume><spage>118</spage><epage>127</epage><pages>118-127</pages><issn>1364-8152</issn><abstract>Environmental conditions, such as fuel load and moisture levels, can influence the behaviour of wildfires. These factors are subject to natural small-scale variation which is usually spatially or temporally averaged for modelling fire propagation. The effect of including this variation in propagation models has not previously been fully examined or quantified. We investigate the effects of incorporating three types of variation on the shape and rate of propagation of a fire perimeter: variation in combustion conditions, wind direction and wind speed. We find that increasing the variation of combustion condition decreases the overall rate of propagation. An analytical model, based on the harmonic mean, is presented to explain this behaviour. Variation in wind direction is found to cause the development of rounded flanks due to cumulative chance of outward fluctuations at the sides of the perimeter. Our findings may be used to develop improved models for fire spread prediction.
[Display omitted]
•Implementation of a wildfire spread model based on the level set method.•Investigation of wildfire propagation under stochastic wind and fuel conditions.•Local variation in combustion condition slows the rate of propagation.•Local variation in wind direction is found to increase flank spread.•A harmonic mean is preferential for spatially varying parameters in spread models.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.envsoft.2015.01.015</doi><tpages>10</tpages></addata></record> |
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source | Elsevier ScienceDirect Journals |
subjects | Combustion Computer programs Fire growth Fires Level set Mathematical models Modelling Perimeter propagation Simulation Spark Wildfires Wind direction |
title | Effects of spatial and temporal variation in environmental conditions on simulation of wildfire spread |
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