天津市空气污染数值预报实验中的模式系统  

Modeling System Applied to Tianjing Air Pollution Forecasting Experiment

作　　者：张美根[1] 韩志伟[1] 雷孝恩[1] 佟彦超[2] 

机构地区：[1]中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029 [2]中国环境监测总站,北京100029

出　　处：《气候与环境研究》1999年第3期237-243,共7页Climatic and Environmental Research

基　　金：中国科学院 "九五"重大A 项目

摘　　要：介绍了天津市空气污染数值预报实验中城市空气污染数值预报模式系统的构成及各模块的功能。在天津市空气污染预报实验期间， α中尺度气象模式对区域范围内的逐时风、温、湿及其降水预报取得了较好的效果， 且模式的计算时间短； β中尺度气象模式在边界层内具有较高的垂直分辨率， 模拟结果合理， 其中计算与观测的风向差小于６０ｏ的概率达到６４３％ ， 计算与观测的风速比值接近于１； 预报的地面ＳＯ２、ＮＯｘ和ＴＳＰ浓度与同步监测值相比， 城市空气污染预报模式对ＳＯ２和ＮＯｘ的日平均浓度的预报效果较好， 预报准确率达６４０％ ，the structure of Modeling System for Urban Air Pollution Forecasting, applied to Tianjing air pollution forecasting experiment and the function of each module were introduced briefly Results of this experiment showed that, (1) Meteorological Model of meso-α scale has high efficiency and can predict hourly averaged wind, temperature, moisture and precipitation quite well on regional scale (2) Meteorological Model of meso-β scale has high resolution in PBL and its simulated results were reasonable Probability ofdeviation of simulated wind direction from observed one, less than 60 o , was 64 3% Average ratio of simulated wind velocity and observed one was close to 1 (3) By comparing predicted ground concentrations of SO 2 , NO x and TSP with simultaneous observed ones Urban Air Pollution Forecasting Model predicted daily averaged concentrations of SO 2 and NO x more satisfactorily than that of TSP, and prediction accuracy of SO 2 and NO x was up to 64 0%

关 键 词：城市空气污染预报 大气扩散 干沉积 

分 类 号：X16[环境科学与工程—环境科学]