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Wang Jian, Liu Xiaodong. Estimation of PM2.5 emissions from forest fires in Fujian Sanming City of southern China during 2000-2011[J]. Journal of Beijing Forestry University, 2018, 40(6): 41-47. DOI: 10.13332/j.1000-1522.20180075
Citation: Wang Jian, Liu Xiaodong. Estimation of PM2.5 emissions from forest fires in Fujian Sanming City of southern China during 2000-2011[J]. Journal of Beijing Forestry University, 2018, 40(6): 41-47. DOI: 10.13332/j.1000-1522.20180075

Estimation of PM2.5 emissions from forest fires in Fujian Sanming City of southern China during 2000-2011

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  • Received Date: March 04, 2018
  • Revised Date: May 08, 2018
  • Published Date: May 31, 2018
  • ObjectiveForest fire frequently occurs in Fujian Sanming area of southern China, and has high forest fire danger class. Forest fire releases large amount of particulate matter (PM2.5), which not only causes air pollution, but also has bad effect on human health. Therefore, the research on area forest fire PM2.5 emissions in Fujian Sanming City is of great significance.
    MethodBased on forest fire data in Fujian Sanming area during 2000-2011, we used volume-biomass model to calculate fire process consume biomass, volume loss and forest fire area data provided by the local forestry authorities. Using emission factor method can calculate PM2.5 emissions, and the forest PM2.5 emission factor was obtained from historical literature statistics. PM2.5 emissions of four main forest types:Pinus massoniana forests, Cunninghamia lanceolata forests, mixed broadleaved forests and coniferous broad leaved mixed forests were assessed individually in Fujian Sanming area. These results will provide theory basis for forest fire prevention work in this area.
    ResultThe results showed that forest fire PM2.5 emission estimates were 458.789-2958.339t in Fujian Sanming area during 2000-2011. PM2.5 emission of Cunninghamia lanceolate forests was 217.117-1072.489t, PM2.5 emission of temperate mixed broadleaved forests, Pinus massoniana forest, coniferous and broadleaved mixed forests was 94.123-903.154t, 93.379-478.634t, 54.169-504.063t, respectively.
    ConclusionFrom comprehensive analysis, as a result of more times of disastrous fire and large fire, PM2.5 emission mainly concentrated in the disastrous fire and large fire; about forest types, PM2.5 emissions are mainly concentrated in Cunninghamia lanceolata forests and mixed broadleaved forests. Because of its high biomass aboveground and prone to forest fire, these two forest types will be the key management object in future work, and the relevant departments should take good thinning of pruning work before the arrival of fireproofing period.
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