摘要
基于2017年3月—2018年2月湖南省14市臭氧观测资料,对WRF-Chem模式预报效果进行评估。结果表明,模式24 h预报结果能够较好地抓住观测到的臭氧变化趋势,其预报结果在14个城市的平均相关系数为0.6,最高可达0.71。对比不同时效臭氧预报结果发现,随着预报时长的增加,预报偏差呈增大趋势, 72 h预报结果仍具有预报价值。统计O3为首要污染物天数,发现多出现在春季、夏季和秋季,且模式的预报准确率可达70%。
Observed ozone concentration of 14 sites were collected and used to comprehensively evaluate the performance of WRF-Chem model in Hunan province from Mar 2017 to Feb 2018.The results show that WRF-Chem model can predict the temporal variation of ozone well 24 hours in advance,with the average correlation coefficient of approximately 0.6.The 72-hour prediction remains valuable,even the biases of model become larger with the longer predicted-time.The statistic about the days of the pollutions of O3 as a primary air pollutant show that the days occur mostly in summer,spring,and autumn,and the accuracy of model forecasts of primary air pollutant was above 70%over all province area.
作者
冯涛
尚晶晶
Feng Tao;Shang Jingjing(State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment,State Grid Hunan Electric Company Limited Disaster Prevention and Reduction Center,Changsha Hunan 410129,China;State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China))
出处
《中国环境管理干部学院学报》
CAS
2019年第1期50-54,共5页
Journal of Environmental Management College of China
基金
国家电网公司科技项目<基于气象卫星的大气雾霾监测
预测及电网降雾霾策略研究>(5216A016000R)