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Uncertainties in global aerosols and climate effects due to biofuel emissions

机译:生物燃料排放导致的全球气溶胶和气候影响的不确定性

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摘要

Aerosol emissions from biofuel combustion impact both health and climate; however, while reducing emissions through improvements to combustion technologies will improve health, the net effect on climate is largely unconstrained. In this study, we examine sensitivities in global aerosol concentration, direct radiative climate effect, and cloud-albedo aerosol indirect climate effect to uncertainties in biofuel emission factors, optical mixing state, and model nucleation and background secondary organic aerosol (SOA). We use the Goddard Earth Observing System global chemical-transport model (GEOS-Chem) with TwO Moment Aerosol Sectional (TOMAS) microphysics. The emission factors include amount, composition, size, and hygroscopicity, as well as optical mixing-state properties. We also evaluate emissions from domestic coal use, which is not biofuel but is also frequently emitted from homes. We estimate the direct radiative effect assuming different mixing states (homogeneous, core-shell, and external) with and without absorptive organic aerosol (brown carbon). We find the global-mean direct radiative effect of biofuel emissions ranges from −0.02 to +0.06 W m−2 across all simulation/mixing-state combinations with regional effects in source regions ranging from −0.2 to +0.8 W m−2. The global-mean cloud-albedo aerosol indirect effect (AIE) ranges from +0.01 to −0.02 W m−2 with regional effects in source regions ranging from −1.0 to −0.05 W m−2. The direct radiative effect is strongly dependent on uncertainties in emissions mass, composition, emissions aerosol size distributions, and assumed optical mixing state, while the indirect effect is dependent on the emissions mass, emissions aerosol size distribution, and the choice of model nucleation and secondary organic aerosol schemes. The sign and magnitude of these effects have a strong regional dependence. We conclude that the climate effects of biofuel aerosols are largely unconstrained, and the overall sign of the aerosol effects is unclear due to uncertainties in model inputs. This uncertainty limits our ability to introduce mitigation strategies aimed at reducing biofuel black carbon emissions in order to counter warming effects from greenhouse gases. To better understand the climate impact of particle emissions from biofuel combustion, we recommend field/laboratory measurements to narrow constraints on (1) emissions mass, (2) emission size distribution, (3) mixing state, and (4) ratio of black carbon to organic aerosol.
机译:生物燃料燃烧产生的气溶胶排放影响健康和气候;然而,尽管通过改进燃烧技术减少排放将改善健康状况,但对气候的净影响在很大程度上不受限制。在这项研究中,我们研究了全球气溶胶浓度,直接辐射气候效应和云-反照率气溶胶间接气候效应对生物燃料排放因子,光学混合状态以及模型成核和背景二次有机气溶胶(SOA)不确定性的敏感性。我们使用具有TwO矩气溶胶截面(TOMAS)微观物理学的Goddard地球观测系统全局化学传输模型(GEOS-Chem)。发射因子包括数量,组成,尺寸和吸湿性以及光学混合态特性。我们还评估了家庭用煤的排放量,这不是生物燃料,但也经常是家庭排放的。我们估计在假定有和没有吸收性有机气溶胶(褐碳)的不同混合状态(均匀,核壳和外部)下的直接辐射效应。我们发现,在所有模拟/混合状态组合中,生物燃料排放的全球平均直接辐射效应范围为-0.02至+0.06 W m-2,源区域的区域效应范围为-0.2至+0.8 W m-2。全球平均云-反照率气溶胶间接效应(AIE)范围为+0.01至-0.02 W m-2,源区域的区域效应范围为-1.0至-0.05 W m-2。直接辐射效应在很大程度上取决于排放物质量,成分,排放物气溶胶尺寸分布和假定的光学混合状态的不确定性,而间接辐射效应则取决于排放物质量,排放物气溶胶尺寸分布以及模型成核和次级选择有机气溶胶方案。这些影响的迹象和严重程度具有强烈的区域依赖性。我们得出的结论是,由于模型输入的不确定性,生物燃料气溶胶对气候的影响在很大程度上不受限制,而且气溶胶影响的总体迹象尚不清楚。这种不确定性限制了我们引入旨在减少生物燃料黑碳排放的缓解策略的能力,以应对温室气体的变暖影响。为了更好地了解生物燃料燃烧产生的颗粒物排放对气候的影响,我们建议进行现场/实验室测量,以缩小对(1)排放质量,(2)排放物大小分布,(3)混合状态和(4)黑碳比率的限制。到有机气雾剂。

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