摘要
建立了一个简单空气质量数值模式预报系统(SAQMS)。该系统是由中尺度数值预报模式(MM5)、Pielke中-β尺度气象模式和Eu-ler大气平流-扩散模式以及Erisman干沉降模式所组成。分别利用该系统和中科院大气物理研究所提供的高分辨率化学模式预报系统(HRCM)对沈阳地区的SO2浓度值进行了预报试验,结果表明,这2个模式的预测值都非常接近实测值,初步说明该模式系统可用于沈阳市的空气质量预报业务。
In this paper, a Simple Air Quality Numerical Model System (short for SAQMS)was set up, The system is composed of Mesoscale Data Forecasting Model(MM5),Pielke Mid-β Scale Meteorological Model,Euler Air Advection-Diffusion Model and Erisman Dry Sink Model.Sulfur dioxide concentration in Shenyang was forecasted and tested respectively according to SAQMS and High Resolution Chemistry Model(HRCM)suggested by Institute of Aerophysics, It shows that both of the predictive results of the two models approach the actual measured value highly, It preliminarily proves that the Simple Air Quality Model System can be used in the forecasting operation of air quality in Shenyang.
出处
《安徽农业科学》
CAS
北大核心
2006年第11期2614-2617,共4页
Journal of Anhui Agricultural Sciences
基金
江苏省环境保护厅资助课题(苏环科:2000-2号)
关键词
空气质量
数值模式
S02浓度
预报业务
Air quality
Numerical model
Sulfur dioxide concentration
Forecasting operation