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首页> 外文期刊>Journal of the air & waste management association >Simulating Urban-Scale Air Pollutants and Their Predicting Capabilities over the Seoul Metropolitan Area
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Simulating Urban-Scale Air Pollutants and Their Predicting Capabilities over the Seoul Metropolitan Area

机译:在首尔都市圈模拟城市规模的空气污染物及其预测能力

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Urban-scale air pollutants for sulfur dioxide, nitrogen dioxide, particulate matter with aerodynamic diameter ≥10 μm, and ozone (O_3) were simulated over the Seoul metropolitan area, Korea, during the period of July 2-11, 2002, and their predicting capabilities were discussed. The Air Pollution Model (TAPM) and the highly disaggregated anthropogenic and the biogenic gridded emissions (1 km x 1 km) recently prepared by the Korean Ministry of Environment were applied. Wind fields with observational nudging in the prognostic meteorological model TAPM are optionally adopted to comparatively examine the meteorological impact on the prediction capabilities of urban-scale air pollutants. The result shows that the simulated concentrations of secondary air pollutant largely agree with observed levels with an index of agreement (IOA) of >0.6, whereas IOAs of ~0.4 are found for most primary pollutants in the major cities, reflecting the quality of emission data in the urban area. The observationally nudged wind fields with higher IOAs have little effect on the prediction for both primary and secondary air pollutants, implying that the detailed wind field does not consistently improve the urban air pollution model performance if emissions are not well specified. However, the robust highest concentrations are better described toward observations by imposing observational nudging, suggesting the importance of wind fields for the predictions of extreme concentrations such as robust highest concentrations, maximum levels, and >90th percentiles of concentrations for both primary and secondary urban-scale air pollutants.
机译:在2002年7月2日至11日期间,对韩国首尔市区的城市范围内的二氧化硫,二氧化氮,空气动力学直径≥10μm的颗粒物和臭氧(O_3)的空气污染物进行了模拟,并进行了预测功能进行了讨论。应用了韩国环境部最近编制的空气污染模型(TAPM)和高度分类的人为和生物网格排放物(1 km x 1 km)。在预测性气象模型TAPM中,可以选择采用带有观测微调的风场来比较地考察气象对城市规模空气污染物预测能力的影响。结果表明,模拟的二次空气污染物浓度与观察到的水平基本一致,协议指数(IOA)> 0.6,而在主要城市中,大多数主要污染物的IOAs约为0.4,反映了排放数据的质量在市区。观测到的具有较高IOAs的微风场对一次和二次空气污染物的预测几乎没有影响,这意味着如果排放不明确,详细的风场并不能持续改善城市空气污染模型的性能。但是,通过强加观测性推拿,可以更好地将强健的最高浓度描述为观测值,这表明风场对于预测极端浓度(如健壮的最高浓度,最大水平和大于或等于90%)的极端浓度的预测非常重要。规模的空气污染物。

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