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Numerical Study of The Effect of Traffic Restriction on Air Quality in Beijing

机译：北京交通限制对空气质量影响的数值研究

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References(19) Cited-By(4) Supplementary materials(3) The Nested Air Quality Prediction Modeling System (NAQPMS), in coupling with the fifth-generation NCAR/Penn State Mesoscale Model (MM5), is employed to assess the impact of vehicle traffic restriction on air quality in Beijing within pre-Olympic environmental measures implemented from 17th to 20th August 2007. Predictions are compared against meteorological and air quality observed data and validation shows model good performance as a whole. Sensitivity experiments, including the baseline and traffic control scenarios, are designed to estimate the potential reduction of nitrogen dioxide (NO2) and particulate matter (PM10) concentrations during the traffic restriction. Results indicate that the NO2 concentration in Urban Beijing is reduced by 16%∼32%, with the average of 21%, while NOx emissions are lowered within 28%; the primary PM10 concentrations is also reduced by 6%∼15%, lower than the decreased percentages of NO2 concentration. The results show that the most significant reduction of air pollutants occurs in Urban Beijing where the restriction has been mainly imposed. This study demonstrates the efficiency of traffic restriction measure in air quality improvement over Beijing.
机译：参考文献（19）被引用的文献（4）补充材料（3）嵌套空气质量预测模型系统（NAQPMS）与第五代NCAR / Penn状态中尺度模型（MM5）结合使用，可评估根据2007年8月17日至20日实施的奥运前环保措施，北京对机动车的空气质量进行了限制。将预测结果与气象和空气质量观测数据进行了比较，验证表明该模型总体上表现良好。敏感性实验（包括基准线和交通管制方案）旨在评估交通限制期间二氧化氮（NO2）和颗粒物（PM10）浓度的潜在减少量。结果表明，北京市区的NO 2浓度降低了16％〜32％，平均降低了21％，而NOx排放降低了28％以内;初级PM10浓度也降低了6％〜15％，低于NO2浓度降低的百分比。结果表明，空气污染物减少最明显的地区是北京市区，那里主要是实施限制措施。该研究证明了交通限制措施在改善北京空气质量中的有效性。

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