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首页> 外文期刊>International Journal of Wildland Fire >Satellite-based comparison of fire intensity and smoke plumes from prescribed fires and wildfires in south-eastern Australia.
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Satellite-based comparison of fire intensity and smoke plumes from prescribed fires and wildfires in south-eastern Australia.

机译:基于卫星的澳大利亚东南部地区明火和野火的烈度和烟羽比较。

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Smoke pollution from wildfires can adversely affect human health, and there is uncertainty about the amount of smoke pollution caused by prescribed v. wildfires, a problem demanding a landscape perspective given that air quality monitoring is sparse outside of urban airsheds. The primary objective was to assess differences in fire intensity and smoke plume area between prescribed fires and wildfires around Melbourne and Sydney, Australia. We matched thermal anomaly satellite data to databases of fires in forests surrounding both cities. For each matched fire we determined hotspot count and quantified their intensity using the fire radiative power (FRP) measurement. Smoke plumes were mapped using MODIS true colour images. Wildfires had more extreme fire intensity values than did prescribed burns and the mean size of wildfire plumes was six times greater than of prescribed fire plumes for both cities. Statistical modelling showed that the horizontal area covered by smoke plumes could be predicted by hotspot count and sum of FRP, with differences between cities and fire type. Smoke plumes from both fire types reached both urban areas, and particulate pollution was higher on days affected by smoke plumes. Our results suggested that prescribed fires produced smaller smoke plume areas than did wildfires in two different flammable landscapes. Smoke plume and FRP data, combined with air pollution data from static monitors, can be used to improve smoke management for human health.
机译:野火产生的烟尘污染可能对人类健康产生不利影响,并且规定的野火与野火造成的烟尘污染量尚不确定,鉴于空气质量监测在城市集尘区以外稀疏,因此需要从景观角度进行研究。主要目的是评估澳大利亚墨尔本和悉尼周围规定的火灾和野火之间的火势和烟羽面积差异。我们将热异常卫星数据与两个城市周围森林的火灾数据库进行了匹配。对于每个匹配的火,我们确定火点数,并使用火辐射功率(FRP)测量量化其强度。使用MODIS真彩色图像对烟羽进行了映射。野火的极端火烈度值比规定的燃烧高,并且两个城市的野火羽流的平均大小均比规定的火羽大六倍。统计模型表明,烟尘覆盖的水平区域可以通过热点数量和玻璃钢总量来预测,城市和火灾类型之间存在差异。两种火灾类型的烟羽都到达了城市地区,受烟羽影响的日子中的颗粒物污染也更高。我们的结果表明,在两种不同的易燃景观中,规定的火灾产生的烟羽面积小于野火。烟气和FRP数据与静态监控器中的空气污染数据相结合,可用于改善烟雾管理,促进人类健康。

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