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New field-based agricultural biomass burning trace gas, PM2.5, and black carbon emission ratios and factors measured in situ at crop residue fires in Eastern China

机译:中国东部新的田间农业生物质燃烧痕量气体,PM2.5和黑碳排放比率及在田间焚烧残渣现场测量的因素

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摘要

Despite policy attempts to limit or prevent agricultural burning, its use to remove crop residues either immediately after harvest (e.g. field burning of wheat stubble) or after subsequent crop processing (e.g. “bonfires” of rice straw and rapeseed residues) appears to remain widespread across parts of China. Emission factors for these types of small but highly numerous fire are therefore required to fully assess their impact on atmospheric composition and air pollution. Here we describe the design and deployment of a new smoke measurement system for the close-range sampling of key gases and particles within smoke from crop residue fires, using it to assess instantaneous mixing ratios of CO and CO2 and mass concentrations of black carbon (BC) and PM2.5 from wheat stubble, rice straw, and rapeseed residue fires. Using data of our new smoke sampling system, we find a strong linear correlation between the PM2.5 mass and BC, with very high PM2.5 to BC emission ratios found in the smouldering phase (up to 80.7 mg m−3.(mg m−3)−1) compared to the flaming phase (2.0 mg m−3.(mg m−3)−1). We conclude that the contribution of BC to PM2.5 mass was as high as 50% in the flaming phase of some burns, whilst during smouldering it sometimes decreased to little over one percent. A linear mixing model is used to quantify the relative contribution of each combustion phase to the overall measured smoke composition, and we find that flaming combustion dominated the total emission of most species assessed. Using time series of trace gas concentrations from different fire cases, we calculated ‘fire integrated’ trace gas emission factors (EFs) for wheat, rice and rapeseed residue burns as 1739 ± 19 g kg−1, 1761 ± 30 g kg−1and 1704 ± 27 g kg−1 respectively for CO2, and 60 ± 12 g kg−1, 47 ± 19 g kg−1 and 82 ± 17 g kg−1 respectively for CO. Where comparisons were possible, our EFs agreed well with those derived via a simultaneously-deployed open path Fourier transform infrared (OP-FTIR) spectrometer. These EFs, and the linear best fit relationships between both PM2.5 and BC mass and the CO2 and CO measurements, were used to generate particulate EFs, which varied over the 5.8–20.3 g kg−1 and 0.25–2.89 g kg−1 range respectively. We note a particularly high 2.89 g kg−1 BC emission factor for the rapeseed bonfires, reflective of intense flaming combustion that gave off visible clouds of soot. These field-measured EFs offer a different perspective than is obtained when burning in laboratory combustion chambers, and are suitable for combining with landscape-scale fuel consumption estimates to provide atmospheric modelling inputs of emissions from these types of crop residue fires.
机译:尽管有政策试图限制或防止农业燃烧,但在整个收获后立即(例如麦茬的田间焚烧)或随后的作物加工之后(例如稻草和菜籽残渣的“篝火”),其用于清除作物残留的现象似乎仍然广泛存在。中国部分地区。因此,需要这些类型的小而众多火灾的排放因子,以充分评估其对大气成分和空气污染的影响。在这里,我们描述了一种新烟气测量系统的设计和部署,该系统用于对作物残渣大火中烟气中的关键气体和颗粒物进行近距离采样,用它来评估CO和CO2的瞬时混合比以及黑碳的质量浓度(BC )和来自麦茬,稻草和油菜渣燃烧的PM2.5。使用我们新的烟雾采样系统的数据,我们发现PM2.5质量与BC之间有很强的线性相关性,在闷燃阶段发现PM2.5与BC的排放比率非常高(高达80.7 mg m-3。(mg m-3)-1)相较于燃烧阶段(2.0 mg m-3。(mg m-3)-1)。我们得出的结论是,在某些烧伤的燃烧阶段,BC对PM2.5质量的贡献高达50%,而在闷燃期间,BC的贡献有时会降低到略高于1%。线性混合模型用于量化每个燃烧阶段对总体测得烟气成分的相对贡献,并且我们发现,燃烧着的火焰主导了大多数被评估物种的总排放量。使用来自不同火灾案例的痕量气体浓度的时间序列,我们计算出的小麦,大米和油菜籽残渣燃烧的“火灾综合”痕量气体排放因子(EFs)为1739±19 g kg-1、1761±30 g kg-1和1704对于CO2分别为±27 g kg-1,对于CO分别为60±12 g kg-1、47±19 g kg-1和82±17 g kg-1。在可能进行比较的情况下,我们的EF与得出的EF一致通过同时部署的开放路径傅立叶变换红外(OP-FTIR)光谱仪。这些EFs,以及PM2.5和BC质量与CO2和CO测量值之间的线性最佳拟合关系,用于生成颗粒EFs,它们在5.8–20.3 g kg-1和0.25–2.89 g kg-1之间变化范围。我们注意到,油菜篝火的排放因子特别高,为2.89 g kg-1 BC,反映出强烈的燃烧燃烧释放出可见的煤烟云。这些现场测量的EF提供的视角与在实验室燃烧室中燃烧时获得的视角不同,并且适合与景观规模的燃料消耗估算结合使用,以提供这些类型的农作物残渣火灾排放的大气模拟输入。

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