在模型中既考虑了气象条件的作用，又考虑了污染排放量和起报日的污染浓度，与以往的空气污染预报统计模型相比，所依据的物理基础更可信一些。
In this model the effect of meteorological element, output and concentration of air pollutant were considered, so it's physical foundation may be more believable than pure statistics model.
在统计分析的基础上，我们建立了日常业务应用的湘潭汛期洪涝预报物理模型。
On the basis of statistical analysis, we established a physical model for operational flooding prediction in the flood period in Xiangtan.
对四川盆地夏季温度的预报表明：这种容纳多时次资料、基于EOF迭代的物理一统计预报方法是一种有效的长期预报途径。
The results show that the physical-statistical method with multi-time historical data has an enormous potential in long-range forecast based on EOF iteration scheme.
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