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首页> 外文期刊>Atmospheric environment >Assessing the pollutant evolution mechanisms of heavy pollution episodes in the Yangtze-Huaihe valley: A multiscale perspective
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Assessing the pollutant evolution mechanisms of heavy pollution episodes in the Yangtze-Huaihe valley: A multiscale perspective

机译:评估长江 - 淮河谷重型污染发作的污染物演变机制:多尺度的观点

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摘要

The Yangtze-Huaihe (YH) region experiences heavy aerosol pollution, characterized by high PM2.5 concentration. To unravel the pollutant evolution mechanism during the heavy pollution episodes (HPEs), this study combined observational data analysis and three-dimensional WRF-Chem simulations. From December 2, 2016 to January 15, 2017, YH region experienced 4 HPEs under the control by synoptic system, normally associated with a transport stage (TS) and a cumulative stage (CS). During the TS, pollutants are transported to the north of YH region through the near-surface, and then transported to the "mountain corridor" through the residual layer (RL) under the influence of prevailing wind. For the RL transport mechanism, the change of pollutant concentration cannot only consider the net flux in the horizontal direction, but also the role of the vertical movement is extremely important and cannot be ignored. By analyzing the mass conservation equation of pollutant, the results show that the advection transport and turbulent diffusion have a synergistic effect on the change of pollutant in the CS of three HPEs. The change of turbulence characteristics also affected by topography. For the "mountain corridors", which is accompanied by variable wind direction and turbulence diffusion is easily affected by wind shear. In addition, the turbulence characteristics are different during the TS and CS, especially the strong stable conditions in the CS at nighttime. The turbulence is intermittent, and the model has insufficient performance for turbulence, which will lead to differences for the simulation of pollutant concentration. In short, as the PM2.5 concentration linearly increases, the friction velocity (turbulent diffusion coefficient) decreases 63% (80%), 61% (78%) and 45% (68%), respectively. Therefore, the change of pollutants is less sensitive to the change of turbulence during the HPEs. The contribution of regional transport (local emissions) reaches 43% (47%), thus we need pay attention to the contribution of each part during the HPEs, which will help us to build a certain foundation for the emission reduction work in the future.
机译:长江 - 淮河(YH)地区经历了沉重的气溶胶污染,其特征在于PM2.5浓度。在重污染事件(HPE)期间解开污染物进化机制,本研究组合了观察数据分析和三维WRF-Chem模拟。从2016年12月2日至2017年1月15日,YH地区在概要系统的控制下经历了4个HPE,通常与运输阶段(TS)和累积阶段(CS)相关联。在TS期间,污染物通过近表面运输到YH地区的北部,然后通过普遍风的影响,通过残留层(RL)运输到“山路走廊”。对于RL运输机制,污染物浓度的变化不能仅考虑水平方向上的净助焊剂,而且垂直运动的作用也极为重要,不能忽略。通过分析污染物的大规模保护方程,结果表明,平流运输和湍流扩散对三种HPE的CS污染物的变化具有协同作用。湍流特性的变化也受到地形影响的。对于“山走廊”,伴随着变量风向和湍流扩散容易受风剪的影响。此外,TS和CS期间湍流特性不同,尤其是夜间CS中的强稳定条件。湍流是间歇性的,该模型对湍流的性能不足,这将导致污染物浓度模拟的差异。简而言之,随着PM2.5的浓度线性增加,摩擦速度(湍流扩散系数)分别降低63%(80%),61%(78%)和45%(68%)。因此,污染物的变化对HPE期间的湍流变化不太敏感。区域运输(地方排放)的贡献达到43%(47%),因此我们需要注意在惠普期间每个部分的贡献,这将有助于我们为未来减排工作建立一定的基础。

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