Multiscale comparison of air quality modeling for an ozone occurrence during the 1996 Paso Del Norte Ozone Campaign

D. Lu, R. S. Reddy, R. Fitzgerald, W. Stockwell, Q. L. Williams, P. Tchounwou
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引用次数: 2

Abstract

An air quality modeling has been applied to investigate an ozone event occurring during the period of 1996 Paso del Norte Ozone Campaign. An examination of model sensitivity to horizontal grid resolutions has been performed. The modeling results show that grid resolution evidently influences the simulations of ozone formation, dispersion, transportation and structural distribution. The 36-, 12-, 4- and 1-km models captured the diurnal variation of surface ozone, but with a few hours lag for simulated peak ozone. The coarser the spatial resolution of the model, the more the peak ozone lag occurs. All models underpredicted the peak ozone concentration where the 1-km model produced the best while the 36km model yielded the worst. This study suggests that the problems of maximum ozone underprediction and minimum ozone overprediction can be mitigated by increasing the spatial resolution of the model. Compared to fine models, coarse models provided rather simple and smooth structures with many detailed and complex structures being lost. The frequency distribution analysis also revealed that the high ozone event occurring over the complex terrain area such as El Paso, TX can hardly be captured by using coarse spatial resolution models, and the high resolution model (i.e., grid spacing is no greater than 4-km) is necessary.
1996年北帕索臭氧运动期间臭氧发生的空气质量模型的多尺度比较
采用空气质量模型对1996年北帕索臭氧运动期间发生的一次臭氧事件进行了研究。对水平网格分辨率的模型灵敏度进行了检查。模拟结果表明,网格分辨率对臭氧的形成、扩散、运移和结构分布有明显的影响。36公里、12公里、4公里和1公里模式捕获了地表臭氧的日变化,但在模拟臭氧峰值时有几个小时的滞后。模型的空间分辨率越粗,臭氧峰值滞后越明显。所有模型都低估了臭氧浓度峰值,其中1公里模型的预测结果最好,而36公里模型的预测结果最差。研究表明,通过提高模式的空间分辨率,可以缓解臭氧最大预估不足和臭氧最小预估过高的问题。与精细模型相比,粗糙模型提供了相当简单和光滑的结构,丢失了许多细节和复杂的结构。频率分布分析还表明,在El Paso、TX等地形复杂地区发生的高臭氧事件,使用粗空间分辨率模型很难捕获,需要使用高分辨率模型(即网格间距不大于4 km)。
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