大气科学2017，Vol.41Issue(6)：1177-1190,14.DOI:10.3878/j.issn.1006-9895.1703.16211
京津冀一次重度雾霾天气能见度及边界层关键气象要素的模拟研究
A Modeling Study of the Visibility and PBL Key Meteorological Elements during a Heavy Fog-Haze Episode in Beijing-Tianjin-Hebei of China
摘要
Abstract
The heavy fog-haze episode occurred in Beijing-Tianjin-Hebei region during December 5-10,2015 was simulated using GRAPES_CUACE (Global/Regional Assimilation and PrEdiction System coupled with the China Meteorological Administration Unified Atmospheric Chemistry Environment).Characteristics of wind speeds at the surface,PBLH (Planetary boundary layer height),relative humidity and PM2.5 concentration as well as their impacts on visibility were analyzed in detail.The results show that the diurnal variation of visibility and PM2.5 mass concentration in Beijing-Tianjin-Hcbci region could be well simulated while the low visibility during the heavy fog-haze pollution was over estimated.The average wind speed was lower than 2 m s-1 and the average PBLH was lower than 600 m in most areas during the fog-haze episode.The overestimation of the low visibility by the model are due to the following reasons according to the simulation analysis.First,the maximum concentration of PM2.5 during the heavy fog haze episode was underestimated;second,the simulated relative humidity was lower than observations,which affected the hygroscopic growth process of soluble aerosols and the concentration of aerosols,leading to changes in aerosol extinction;and the current parametric formula doesn't take into consideration the direct extinction of fog-drops.These results indicate that the simulation and prediction of surface relative humidity have important impacts on accurate simulation of low visibility during heavy fog-haze episodes.关键词
雾霾/PM2.5/能见度/相对湿度/GRAPES_ CUACE模式Key words
Fog-haze/PM2.5/Visibility/Relative humidity/GRAPES_CUACE model分类
天文与地球科学引用本文复制引用
侯梦玲,王宏,赵天良,车慧正..京津冀一次重度雾霾天气能见度及边界层关键气象要素的模拟研究[J].大气科学,2017,41(6):1177-1190,14.基金项目
科技部大气污染专项项目2016YFC0203306,国家重点基础研究发展计划(973计划)项目2014CB441201,国家自然科学基金项目41590874 National Key Foundation Study Developing Programs (Grant 2016YFC0203306),National Basic Research Program of China (973 Program) (Grant 2014CB441201),National Natural Science Foundation of China (Grant 41590874) （973计划）
