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济南市空气质量数值预报研究
引用本文:杜世勇,谭晓哲,田 勇,李泰岳,王志国,雷孝恩. 济南市空气质量数值预报研究[J]. 环境科学研究, 2002, 15(4): 20-23
作者姓名:杜世勇  谭晓哲  田 勇  李泰岳  王志国  雷孝恩
作者单位:1.中国科学院,兰州化学物理研究所,甘肃,兰州,730000;济南市环境保护科学研究所,山东,济南,250014
基金项目:山东省十大可持续发展科技示范工程资助项目
摘    要:在大规模大气环境参数综合野外测试资料的基础上,为在济南市开展大气污染业务预报新近开发了空气质量数值预报模式系统.该系统由污染源模型(SM)、下垫面参数化模型(XDM)、诊断模式(DM)、中尺度-α气象模式(M-αM)、中尺度-β气象模式(M-βM)、行星边界层(PBL)湍流统计量参数化模式(PBLTM)、干湿沉积模式(DWDM)和高分辨化学模式(HRCM)组成.该系统已成功地应用于济南市空气质量数值预报工作,其预报与实测质量浓度之间有很好的一致性,日平均预报准确率可达80%以上. 

关 键 词:空气质量   模式系统   数值预报   预报准确率
文章编号:1001-6929(2002)04-0020-04
收稿时间:2002-01-08

Numerical Forecast on Air Quality in Jinan City
DU Shi-yong,TAN Xiao-zhe,TIAN Yong,LI Tai-yue,WANG Zhi-guo and LEI Xiao-en. Numerical Forecast on Air Quality in Jinan City[J]. Research of Environmental Sciences, 2002, 15(4): 20-23
Authors:DU Shi-yong  TAN Xiao-zhe  TIAN Yong  LI Tai-yue  WANG Zhi-guo  LEI Xiao-en
Affiliation:1.Lanzhou Institute of Chemical Physics,Chinese Academy of Sciences,Lanzhou,China;2.Jinan Environmental Protection Institute,Jinan 250014,China
Abstract:On the basis of large and comprehensive field measuring data for atmospheric environmental parameters,a numerical forecasting model system on air quality was developed recently in order to make business forecast of air pollution in Jinan City.The system consists of pollution source model (SM),parameterization model on underlying source (XDM),meso-α meteorological model (M-αM),meso-β meteorological model (M-βM),parameterization model of turbulent statistics in the planetary boundary layer (PBLTM),dry and wet deposition model (DWDM),and high resolution chemical model(HRCM). The system was used successfully to do business numerical forecast of the air quality in Jinan.There is good agreement between forecasted and measured concentrations,and the average forecasting accuracy for 24 h can exceed 80%. 
Keywords:air quality  model system  numerical forecast  forecasting accuracy
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