Faculty of Sciences, Department of Physics, University of Novi Sad, Dositej Obradovic Square 3, Novi Sad, Serbia.
Environ Sci Pollut Res Int. 2019 Jun;26(17):17066-17079. doi: 10.1007/s11356-019-05140-y. Epub 2019 Apr 17.
In this paper, the influence of the horizontal model grid size and anthropogenic gridded emissions on the air quality forecast in Serbia was analyzed using the online-coupled Weather Research and Forecasting model with Chemistry (WRF-Chem). For that purpose, six simulations were performed. The model horizontal grid size was 20 × 20 km, 10 × 10 km, and 5 × 5 km. Two anthropogenic gridded emission inventories with different grid sizes were used, the global RETRO (REanalysis of the TROpospheric chemical composition) and the EMEP (The European Monitoring and Evaluation Program) for each model horizontal grid size. The modeled O, NO, and PM concentrations in all six simulations were compared with the measured hourly data at the Serbian Environmental Protection Agency (SEPA) stations and an EMEP station during August 2016. The analysis shows that the influence of the model grid size is larger on PM than on the O and NO concentration. The concentration of O and PM has a similar dependence on the emissions and the model grid size, while NO has a larger dependence on the emission than on the model grid size. The simulation with the 5 × 5 km grid size and the EMEP anthropogenic emissions has optimal performance compared with the measured concentration. In this optimal simulation, the modeled O concentrations overestimated the measured values at 3 stations and underestimated the measured values at 2 stations. At most stations, the modeled NO concentrations underestimated the measured values. The modeled PM concentrations highly underestimated the measured values at all stations.
本文使用在线耦合的天气研究与预报模型与化学模型(WRF-Chem)分析了水平模式网格大小和人为网格化排放对塞尔维亚空气质量预报的影响。为此,进行了六次模拟。模型水平网格大小分别为 20×20km、10×10km 和 5×5km。使用了两个具有不同网格大小的人为网格化排放清单,即全球 RETRO(对流层化学成分再分析)和 EMEP(欧洲监测和评估计划),用于每个模型的水平网格大小。在所有六次模拟中,模型模拟的 O、NO 和 PM 浓度与塞尔维亚环境保护局(SEPA)站和 2016 年 8 月期间的一个 EMEP 站的每小时实测数据进行了比较。分析表明,模型网格大小对 PM 的影响大于对 O 和 NO 浓度的影响。O 和 PM 的浓度对排放和模型网格大小具有相似的依赖性,而 NO 对排放的依赖性大于对模型网格大小的依赖性。与实测浓度相比,使用 5×5km 网格大小和 EMEP 人为排放的模拟具有最佳性能。在这个最佳模拟中,模型模拟的 O 浓度在 3 个站高估了实测值,在 2 个站低估了实测值。在大多数站点,模型模拟的 NO 浓度低估了实测值。模型模拟的 PM 浓度在所有站点都严重低估了实测值。