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Prediction of air-pollution episodes

机译:空气污染发作的预测

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Mathematical models that can properly predict dispersion and transport of atmospheric pollutants are an essential element in the development of warning and control strategies. Proper forecasts of atmospheric boundary-layer height and its vertical mean wind speed provide a basis for predictions of air-pollution concentrations under meteorological conditions that vary horizontally, vertically, and temporally. A prognostic model is developed to predict the ventilation factor using forecast values of meteorological elements normally provided from meteorological agencies, in addition to specifications of terrain. Therefore, the ventilation factor and concentrations of pollutants could be predicted. Subsequent to the dependence of the present method on easily obtainable data, it avoids the non-generality and uncertainty followed from the application of some empirical relations. Even more, the method seems to provide high accuracy in validity tests.
机译:能够正确预测大气污染物扩散和迁移的数学模型是制定预警和控制策略的基本要素。对大气边界层高度及其垂直平均风速的正确预测,为预测水平,垂直和时间变化的气象条件下的空气污染浓度提供了基础。开发了一种预测模型,除了地形条件外,还使用通常由气象机构提供的气象要素的预测值来预测通风因子。因此,可以预测通风因子和污染物浓度。在本方法依赖于容易获得的数据之后,它避免了一些经验关系的应用所带来的非一般性和不确定性。甚至,该方法似乎在有效性测试中提供了很高的准确性。

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