• 关键词：大气污染  SO₂预测模型  加权实时最小二乘算法

• 基金项目：

• 杨伟民
• 华东师范大学地理系

• 沈建法
• 华东师范大学地理系

• 摘要：考虑了影响大气扩散的主要气象因素及其它因素,提出了一个大气SO₂污染预测模型,并运用加权实时最小二乘算法对模型进行实时辨识。这一模型尤其适用于城市及城市中SO₂日均浓度的分区预测,给出了该模型在上海地区应用的结果。

• Abstract：A model for forecasting SO₂ pollution in atmosphere was developed and a weighted real-time least square algorithm was applied to the real-time identification of the model. The results of the application of the model in Shanghai area were presented.

• Key words：air pollution  SO₂  forecasting model  weighted real-time least square algorithm.

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