摘要
本文着重介绍了适合城市空气中氮氧化物预报的五种模型 :统计模型中的MOBILE模式、时间序列分析法、投影回归技术和数值预报模型中的高斯模式及箱模式 .并在此基础上推荐了组合预报 .
This paper introduced five models appropriate to forecasting nitrogen oxide in cities,such as statistical model(MOBILE models,time series analytics,projection pursuit regression),and numerical models (gussia models,box models).According to this introduction,combined prediction suit for different cities was specially commended.
出处
《环境与开发》
2000年第4期8-10,共3页
Environment and Exploitation
基金
南昌大学科研基金