首页 | 本学科首页   官方微博 | 高级检索  
     检索      

AN AIR POLLUTION PREDICTION TECHNIQUE FOR URBAN DISTRICTS BASED ON MESO-SCALE NUMERICAL MODEL
作者姓名:闫敬华  徐建平
作者单位:Guangzhou Institute of Tropical and Marine Meteorology,CMA,Guangzhou,510080 China,Guangdong Meteorological Bureau,Guangzhou,510080 China
摘    要:1 INTRODUCTION Since the 1930’s, urban air pollution has caused increasing concerns across the world1]. Various pollution prediction techniques have been put into use in the 1970’s and significant results have been achieved2]. Air quality prediction has been operational over recent years in many parts of China owing to cooperation between meteorological and environmental protection departments3 – 9]. The prediction is conducted via either numerical model, potential or stochastic app…

关 键 词:城市空气污染  位势预测  数字模型  中尺度特征

AN AIR POLLUTION PREDICTION TECHNIQUE FOR URBAN DISTRICTS BASED ON MESO-SCALE NUMERICAL MODEL
YAN Jing-hua and XU Jian-ping.AN AIR POLLUTION PREDICTION TECHNIQUE FOR URBAN DISTRICTS BASED ON MESO-SCALE NUMERICAL MODEL[J].Journal of Tropical Meteorology,2005,11(1):51-59.
Authors:YAN Jing-hua and XU Jian-ping
Institution:1. Guangzhou Institute of Tropical and Marine Meteorology, CMA, Guangzhou, 510080 China
2. Guangdong Meteorological Bureau, Guangzhou, 510080 China
Abstract:Taking Shenzhen city as an example, the statistical and physical relationship between the density of pollutants and various atmospheric parameters are analyzed in detail, and a space-partitioned city air pollution potential prediction scheme is established based on it. The scheme considers quantitatively more than ten factors at the surface and planetary boundary layer (PBL), especially the effects of anisotropy of geographical environment, and treats wind direction as an independent impact factor. While the scheme treats the prediction equation respectively for different pollutants according to their differences in dilute properties, it considers as well the possible differences in dilute properties at different districts of the city under the same atmospheric condition, treating predictions respectively for different districts. Finally, the temporally and spatially high resolution predictions for the atmospheric factors are made with a high resolution numerical model, and further the space-partitioned and time-variational city pollution potential predictions are made. The scheme is objective and quantitative, and with clear physical meaning, so it is suitable to use in making high resolution air pollution predictions.
Keywords:city air pollution  potential prediction  district-partition  numerical model
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《热带气象学报(英文版)》浏览原始摘要信息
点击此处可从《热带气象学报(英文版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号