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Characterization of the seasonal cycle, regional distribution and outflow of South Asian aerosols: A three dimensional chemical transport model analysis.

机译:南亚气溶胶的季节周期,区域分布和流出特征:三维化学迁移模型分析。

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A regional chemical transport model is used to study the aerosol seasonality, regional distribution, and composition over South Asia. Model predictions of sulfate, black carbon, primary organic carbon and total particulate mass are compared with observations from the Atmospheric Brown Cloud Project. The results show anthropogenic aerosols over South Asia peak during the early dry season and remain elevated until the summer monsoon rain scavenges them out from the atmosphere. Modeling results also show a high dust concentration over South Asia with different seasonality than that of anthropogenic aerosols. To improve model prediction skills and better understand aerosol distribution, monthly mean Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) was used in an optimal interpolation assimilation scheme. MODIS AOD and aerosol fine mode fraction information (where available) were used in the assimilation. The optimal interpolation algorithm is able to improve model aerosol total mass prediction skills and better capture temporal variability. Inter annual variability from a four year study shows high coefficient of variation over areas of biomass burning and desert regions reflecting uncertainties in emissions estimates. Outflow of Asian aerosols and trace gases to the Pacific were analyzed using the model constrained by observations from the Intercontinental Chemical Transport Experiment - Phase B (INTEXB) field campaign. Back trajectory and source region tagged tracer modeling tools were used to identify pollutant source areas and possible quasi Lagrangian sampling of the air-mass. INTEXB simulation results show different regional distribution and transport pathways for aerosols and trace gases over the Pacific. The role of aerosols in influencing trace gas concentration via heterogeneous reactions and photolysis rates was shown to be significant over the western Pacific but was found to be minimal over the Central and Eastern Pacific. This study analyzed the role of residential bio-fuel as a sector for carbonaceous aerosol loading over South Asia in the present and near future (2030) based on four different IPCC development pathways. Model results show substantial contribution from bio-fuel to aerosol mass loading with repercussions on human health and implications to radiative forcing over South Asia.
机译:使用区域化学物运输模型研究南亚上空的气溶胶季节性,区域分布和组成。将硫酸盐,黑碳,主要有机碳和总颗粒质量的模型预测与大气棕云计划的观测结果进行了比较。结果表明,南亚的人为气溶胶在旱季初期达到峰值,并一直保持升高状态,直到夏季季风雨将其从大气中清除。模拟结果还显示,与人为气溶胶相比,南亚的尘埃浓度较高,具有不同的季节性。为了提高模型预测技能并更好地了解气溶胶分布,在最佳插值同化方案中使用了月平均分辨率成像光谱仪(MODIS)气溶胶光学深度(AOD)。在同化过程中使用了MODIS AOD和气溶胶精细模式分数信息(如果有)。最佳插值算法能够提高模型气溶胶总质量预测技能并更好地捕获时间变化。一项为期四年的研究得出的年度间变异性表明,生物量燃烧和沙漠地区的变异系数很高,反映了排放估算的不确定性。使用受到洲际化学品运输实验-B期(INTEXB)野外活动的观测值约束的模型,分析了亚洲气溶胶和微量气体向太平洋的流出。使用反向轨迹和带源区域标记的示踪剂建模工具来识别污染物源区域和可能的空气质量准拉格朗日采样。 INTEXB模拟结果显示了太平洋上气溶胶和微量气体的不同区域分布和运输途径。气溶胶通过非均相反应和光解速率影响痕量气体浓度的作用在西太平洋地区被证明是重要的,但在中太平洋和东太平洋地区被发现是最小的。这项研究基于IPCC的四种发展路径,分析了目前和不久的将来(2030年)住宅生物燃料在南亚地区碳质气溶胶装载行业中的作用。模型结果表明,从生物燃料到气溶胶的大量装载,对人类健康产生了重大影响,并影响了南亚的辐射强迫。

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