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Particulate Matter Modelinq in the Los Anaeles Basin Using SAQM-AERO

机译:使用SAQM-AERO的Los Anaeles盆地的颗粒物Modelinq

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摘要

The SARMAP air quality model, enhanced with aerosol modeling capability, and its associated components were developed to understand causes of ozone (O3) and par- ticulate matter exceedances in the San Joaquin Valley of California. In order for this modeling system to gain in- creasing acceptance and use in guiding air quality man- agement, it is important to assess how transportable this modeling system is across geographic domains. We de- scribe the first application of the modeling system out- side the `'home'' domain for which it was developed and evaluated. We have chosen the August 27-28, 1987, in- tensive monitoring period of the Southern California Air Quality Study to evaluate the performance of the model- ing system and to assess its sensitivity to emission con- trol options. The predicted surface concentrations of O3 and other gas-phase species were spatially and temporally correlated with measured data. The fractional normalized absolute error was 0.32 to 0.36 for O3' and somewhat larger for other species. The fractional normalized bias for O3 on.August 27 and 28, 1987, was 0.02 to 0.04. The simu- lated PM2.5 mass and constituent species concentrations reproduced the magnitude and variability of the observed daytime concentrations at most locations; however, night- time PM2.5 concentrations were overpredicted by the model. The model's response to emission control options was consistent with other models of the same genre.
机译:开发了SARMAP空气质量模型,并通过气溶胶建模功能进行了增强,并开发了其相关组件以了解加利福尼亚州圣华金河谷中臭氧(O3)和颗粒物超标的原因。为了使该建模系统获得越来越多的认可并用于指导空气质量管理,重要的是评估该建模系统在地理范围内的可运输性。我们在“ home”域之外描述了建模系统的第一个应用程序,并为其进行了评估。我们选择了1987年8月27日至28日的南加州空气质量研究集中监测期,以评估建模系统的性能并评估其对排放控制方案的敏感性。 O3和其他气相物质的预测表面浓度在空间和时间上与实测数据相关。 O3'的分数归一化绝对误差为0.32至0.36,其他物种则更大。 1987年8月27日至28日,O3的分数归一化偏差为0.02至0.04。模拟的PM2.5质量和组成物质浓度再现了大多数地方白天所观察到的浓度的大小和变异性。但是,该模型对夜间PM2.5浓度进行了高估。该模型对排放控制选项的响应与相同类型的其他模型一致。

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