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Evaluating a Canadian regional air quality model using ground-based observations in north-eastern Canada and United States

机译:使用加拿大东北部和美国的地面观测来评估加拿大区域空气质量模型

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摘要

The simulated concentrations from a numerical 3-dimensional regional air quality model (MC2AQ) are compared to those of ground-based observations in north-eastern Canada and the United States. The model has oxidant chemistry for both inorganic and organic species and deposition routines driven online by a mesoscale compressible community meteorological model (MC2). A standard emission inventory of anthropogenic, natural and biogenic sources for the year 1990 for 21 atmospheric trace species was used in the simulation. The model was run for July 1999, because of the occurrence of a high ozone episode and the availability of the monitoring data for surface O_3, SO_2, NO, NO_2 and NO_x. The comparisons during the episode show that the model performs quite well for predicting concentrations and diurnal variations of the surface ozone. The predictions for other gaseous species show some discrepancies with observations, but they are consistent with the results from other models evaluated in the literature. The uncertainties in the emission inventory for these species might be the main causes of the discrepancies. Further studies are needed to improve the predictability of SO_2 and NO_x, especially as the model is developed to include particulate matter formation as a result of these gaseous precursors.
机译:将来自数值3维区域空气质量模型(MC2AQ)的模拟浓度与加拿大东北部和美国的地面观测值进行了比较。该模型具有针对无机和有机物种的氧化剂化学成分,并且由中尺度可压缩社区气象模型(MC2)在线驱动沉积程序。模拟中使用了1990年21种大气痕量物种的人为,自然和生物来源的标准排放清单。该模型于1999年7月运行,原因是发生的臭氧高发,并且可获得表面O_3,SO_2,NO,NO_2和NO_x的监测数据。发作期间的比较表明,该模型在预测表面臭氧的浓度和昼夜变化方面表现良好。对其他气态物种的预测显示与观察结果有些差异,但与文献中评估的其他模型的结果一致。这些物种的排放清单中的不确定性可能是造成差异的主要原因。需要进一步研究以提高SO_2和NO_x的可预测性,尤其是在建立该模型以包括由于这些气态前体而形成的颗粒物的情况下。

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