空气污染预报属于正问题，而从污染物浓度来求解扩散系数则属于反问题。
Air pollution prediction is a direct problem, and deriving diffusion coefficients from the concentration of pollutants is an inverse problem.
从空气污染扩散方程出发，经过简化推导，得出污染预报动力统计模型的数学形式。
By simplifying the equation of air pollutant diffusing, the mathematic form of dynamic statistics model of air pollutant forecast has been worked out.
首次提出了空气质量环境背景值的确定等提高城市空气污染预报准确率的有效措施。
The effective measures that determined background value of urban air pollution and improved forecast accuracy was proposed.
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