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首页> 外文期刊>Air quality, atmosphere & health >Estimation of inter-seasonal differences in NO2 concentrations using a dispersion ADMS-Urban model and measurements
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Estimation of inter-seasonal differences in NO2 concentrations using a dispersion ADMS-Urban model and measurements

机译：使用弥散ADMS-城市模型和测量值估算NO2浓度的季节间差异

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Air pollution dispersion modeling is one of the methods for the ambient air quality assessment. The mathematical models are widely used tools for predicting air pollution and accurately assessing the spatial distribution of air pollutants in the city. Road transport is one of the main sources of pollution affecting air quality in urban areas, and nitrogen dioxide is considered to be one of the most common with traffic emission-related pollutant, which concentrations are strongly correlated to the distance from the roadways. The study aim was to determine the dispersion of nitrogen dioxide (NO2) concentration and to estimate the inter-seasonal differences in these concentrations at different sites (rural, urban, traffic) using a ADMS-Urban model and measurements in Kaunas city. For the modeling of nitrogen dioxide pollution, the year 2011 was selected. Average concentrations of nitrogen dioxide for the winter, summer, and intermediate spring seasons were modeled. Nitrogen dioxide concentrations calculated by model have been verified against 41 Ogawa passive sampling results. The modeling results showed that the highest average seasonal NO2 concentration was modeled in the winter season (21.79 μg/m3), while the lowest concentration was determined in summer (12.28 μg/m3). Correlation coefficient between modeled NO2 concentrations using the ADMS-Urban model and measured by Ogawa passive samplers was significantly high for all seasons and confirmed the generally good performance of the model.
机译：空气污染扩散模型是环境空气质量评估的方法之一。数学模型是广泛用于预测空气污染和准确评估城市中空气污染物的空间分布的工具。公路运输是影响城市空气质量的主要污染源之一，二氧化氮被认为是与交通排放有关的污染物中最常见的污染物之一，其浓度与距道路的距离密切相关。该研究的目的是使用ADMS-城市模型和考纳斯市的测量结果确定二氧化氮（NO2）浓度的弥散，并估计这些浓度在不同地点（农村，城市，交通）的季节间差异。为了模拟二氧化氮污染，选择了2011年。模拟了冬季，夏季和春季中间季节的平均二氧化氮浓度。通过模型计算得出的二氧化氮浓度已针对41个Ogawa被动采样结果进行了验证。建模结果表明，最高的季节平均NO2浓度是在冬季（21.79μg/ m3）中模拟的，而最低的浓度是在夏季（12.28μg/ m3）中模拟的。使用ADMS-Urban模型和由Ogawa被动采样器测量的NO2浓度模型之间的相关系数在所有季节均显着较高，并证实了该模型的总体良好性能。

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