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Contributions of mobile, stationary and biogenic sources to air pollution in the Amazon rainforest: a numerical study with the WRF-Chem model

机译:亚马逊雨林中移动,静止和生物源来源对空气污染的贡献:WRF-CHEM模型的数值研究

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This paper evaluates the contributions of the emissions from mobile, stationary and biogenic sources on air pollution in the Amazon rainforest by using the Weather Research and Forecasting with Chemistry (WRF-Chem) model. The analyzed air pollutants were CO, NOx, SO2, O3, PM2.?5, PM10 and volatile organic compounds (VOCs). Five scenarios were defined in order to evaluate the emissions by biogenic, mobile and stationary sources, as well as a future scenario to assess the potential air quality impact of doubled anthropogenic emissions. The stationary sources explain the highest concentrations for all air pollutants evaluated, except for CO, for which the mobile sources are predominant. The anthropogenic sources considered resulted an increasing in the spatial peak-temporal average concentrations of pollutants in 3 to 2780 times in relation to those with only biogenic sources. The future scenario showed an increase in the range of 3 to 62?% in average concentrations and 45 to 109?% in peak concentrations depending on the pollutant. In addition, the spatial distributions of the scenarios has shown that the air pollution plume from the city of Manaus is predominantly transported west and southwest, and it can reach hundreds of kilometers in length.
机译:本文通过使用与化学(WRF-Chem)模型的天气研究和预测,评估了移动,静止和生物源对亚马逊雨林空气污染的排放的贡献。分析的空气污染物是CO,NOx,SO2,O3,PM2.5,PM10和挥发性有机化合物(VOC)。定义了五种情景,以便通过生物原,移动和静止来源的排放以及未来的情景来评估双重人为排放的潜在空气质量影响。静止源解释了除CO的所有空气污染物的最高浓度,移动源是主要的。人为的源源在与仅具有生物源的那些中,在3至2780次的空间峰末峰值峰值常见浓度增加。根据污染物,未来场景显示平均浓度为3至62Ω%的峰值浓度为45至109Ω%。此外,场景的空间分布表明,Manaus市的空气污染羽流主要是西南部和西南部的运输,它的长度可以达到数百公里。
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