摘要
使用WRF-Chem模式模拟分析2014年4月16日—18日一次上海市大气污染过程,探究交通减排对该市PM 2.5浓度的影响。结果表明,模式较为成功地再现了污染过程中天气形势及大气污染物时空变化,PM 2.5浓度模拟与观测结果IOA达到0.65。研究时段内交通减排使上海市PM 2.5质量浓度平均减少3.29μg/m^3,虹口凉城监测站受到交通减排影响最大,对小时平均质量浓度的最大影响超过26μg/m^3,超过此站PM 2.5浓度的13%;PM 2.5浓度越高,交通减排对上海市PM 2.5浓度的影响越显著;交通减排对上海北部地区空气质量的改善效果最明显。
An air pollution case in Shanghai from April 16th through 18th was studied on the impact of traffic emission reduction on PM 2.5 by WRF-Chem model simulation analysis.Results showed that the model successfully reproduced the weather situation and the temporal and spatial changes of the air pollutants in the pollution process.IOA reached 0.65 by the simulation and observation of PM 2.5 concentration.During the study,traffic emission reduction caused PM 2.5 concentration in Shanghai decline by 3.29μg/m^3 on average.Hongkou monitoring station was the most affected by traffic emission reduction.The greatest reduction of hourly average mass concentration was over 26μg/m^3,more than 13%of PM 2.5 mass concentration in that station.The higher the PM 2.5 concentration,the more significant the traffic emission reduction.The traffic emission reduction had the most obvious effect on the improvement of air quality in northern Shanghai.
作者
沈旻昱
段玉森
盛涛
顾莹
束炯
SHEN Min-yu;DUAN Yu-sen;SHENG Tao;GU Ying;SHU Jiong(School of Geographic Sciences,East China Normal University,Shanghai 200241,China;Shanghai Environmental Monitoring Center,Shanghai 200233,China;Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《环境监测管理与技术》
CSCD
2020年第3期29-33,共5页
The Administration and Technique of Environmental Monitoring
基金
国家自然科学基金资助项目(41271055)。
关键词
交通减排
PM2.5
数值模拟
上海
Traffic emission reduction
PM 2.5
Numerical simulation
Shanghai
