Based on the analysis of contributing factors, a model of parameterized combination operator in airpollutionforecasting is presented, which is suitable to nonlinear problems.
在成因分析的基础上，建立了大气污染物浓度预测的参数化组合算子模型，适应非线性问题。
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Through analysis of concentration change with time and space of mian air pollutants, some causes of the change regularity are expounded, being useful for pollutionforecasting and control.
Just days after Beijing's worst day of airpollution in recent history, IBM is highlighting its efforts to build stronger pollution monitoring and forecasting systems for cities.