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首页> 外文期刊>Journal of Applied Meteorology and Climatology >Evaluation of a Fast-Running Urban Dispersion Modeling System Using Joint Urban 2003 Field Data
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Evaluation of a Fast-Running Urban Dispersion Modeling System Using Joint Urban 2003 Field Data

机译：使用2003年联合城市数据评估快速运行的城市分散模型系统

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An urban dispersion modeling system was evaluated using the Joint Urban 2003 field data. The system consists of a fast-running urban airflow model (RUSTIC, for Realistic Urban Spread and Transport of Intrusive Contaminants) that is coupled with a Lagrangian particle transport and diffusion model (MESO) that uses random-walk tracer diffusion techniques. Surface measurements from fast-response and integrated bag samplers were used to evaluate model performance in predicting near-field (less than 1 km from the source) dispersion in the Oklahoma City, Oklahoma, central business district. Comparisons were made for six different intense operating periods (lOPs) composed of three different release locations and stable nighttime and unstable daytime meteorological conditions. Overall, the models were shown to have an underprediction bias of 47%. A possible influence to this underprediction is that the higher density of sulfur hexafluoride in comparison with air was not taken into account in the simulations. The models were capable of predicting 42% of the sampler data within a factor of 2 and 83% of the data within a factor of 10. When the effects of large-scale atmospheric turbulence were included, the models were shown to be capable of predicting 51% ofthe data within a factor of 2. The results were further broken down into performance for varying meteorological conditions. For daytime releases, the models performed reasonably well; for nighttime releases the models performed more poorly. Two possiblecauses of the poorer nighttime comparisons are (a) an inability to model the suppression of vertical turbulence because of the assumption of isotropy in RUSTIC'S k-h) turbulence model and (b) difficulty in modeling the light and variable inflow winds. The best comparisons were found for the three continuous daytime releases of IOP-4. It was hypothesized that these good comparisons were a result of steadier inflow conditions combined with the fact that the release site was more exposed and closer to the sodar used for the inflow meteorological conditions.
机译：使用Joint Urban 2003现场数据评估了城市分散模型系统。该系统包括一个快速运行的城市气流模型（RUSTIC，用于逼真的侵入性污染物的城市传播和运输），该模型与使用随机游踪示踪扩散技术的拉格朗日粒子运输和扩散模型（MESO）结合在一起。来自快速响应和集成袋采样器的表面测量被用于评估模型性能，以预测中央商务区俄克拉荷马州俄克拉荷马市的近场（距源不到1公里）的扩散。对由三个不同的释放位置以及稳定的夜间和不稳定的白天气象条件组成的六个不同的强烈运行期（lOP）进行了比较。总体而言，模型显示出的预测偏差为47％。对该预测不足的可能影响是，模拟中未考虑六氟化硫与空气相比更高的密度。该模型能够在2倍内预测42％的采样器数据，在10倍内预测83％的数据。当包括大尺度大气湍流的影响时，这些模型能够预测51％的数据在2倍之内。结果进一步细分为各种气象条件下的性能。对于白天发布，模型表现良好;对于夜间发布，模型的表现更差。夜间比较效果较差的两个可能原因是：（a）由于在RUSTIC的k-h湍流模型中采用了各向同性的假设，因此无法对垂直湍流的抑制进行建模，以及（b）对轻风和可变流入风进行建模很困难。对于IOP-4的三个连续白天发布，找到了最好的比较。假设这些良好的比较是更稳定的入流条件的结果，再加上释放位置更暴露，更接近用于入流气象条件的声雷达这一事实。

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