研究报告
吴剑斌,王茜,伏晴艳.2013年12月上海市PM2.5重污染过程数值模拟研究[J].环境科学学报,2016,36(6):2152-2159
2013年12月上海市PM2.5重污染过程数值模拟研究
- Numerical simulation and process study of PM2.5 pollution episode over Shanghai in December 2013
- 基金项目：国家自然科学基金(No.41505105);国家科技支撑计划项目(No.2014BAC16B05)
- 作者
- 单位
- 吴剑斌
- 1. 上海市气象局, 上海 200030;2. 上海市气象与健康重点实验室, 上海 200135
- 王茜
- 上海市环境监测中心, 上海 200235
- 伏晴艳
- 上海市环境监测中心, 上海 200235
- 摘要：基于2013年11月30日-12月13日上海一次PM2.5重污染过程,利用Model-3/CMAQ模式及过程分析技术,定量评估不同时段各大气过程对上海PM2.5浓度变化的影响.结果表明:Model-3/CMAQ模式系统能较好的模拟出实况PM2.5的浓度变化趋势与特点.研究期间,白天源排放的增强和大气传输的影响、加上较强的气溶胶和云过程生成贡献,是造成上海PM2.5浓度上升至重污染的主要原因.不同污染时段对PM2.5浓度上升贡献率最大的过程均为输送,其中,西北部点位(青浦淀山湖和虹口凉城输送)的贡献率最大,且重污染时段输送的贡献率明显高于非重污染时段.
- Abstract：Model-3/CMAQ model and integrated process rates analysis method were used to investigate the influences of various atmospheric processes on the evolution of ambient PM2.5 during a typical pollution episode in Shanghai in November 2013. The comparisons revealed that Model-3/CMAQ model system could simulate the trends and characteristics of PM2.5 concentration well. The results of process analysis showed that heavy pollution of PM2.5 during the study time was mainly attributed to increase of local emission, regional transport and secondary production of aerosols. Regional transport of air pollutants contributed the most to the pollution in Shanghai, especially in the northwest area(Qingpu Dianshan lake and Hongkou Liangcheng). It's worth noting that the contributions of transport during the polluted periods were more significant than those during the clean periods.
摘要点击次数： 1699 全文下载次数： 2673
