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A parameterized method for air-quality diagnosis and its applications

机译:空气质量诊断的参数化方法及其应用

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A parameterized method is developed to diagnose the air quality in Beijing and other cities with an index termed (parameters linking air-quality to meteorological elements PLAM) derived from a correlation between PMand relevant weather elements based on the data between 2000 and 2007. Key weather factors for diagnosing the air pollution intensity are identified and included in PLAM that include atmospheric condensation of water vapour, wet potential equivalent temperature, and wind velocity. It is found that the poor air quality days with elevated PMare usually associated with higher PLAM values, featuring higher temperature, humidity, lower wind velocity, and higher stability compared to the averaged values in the same period. Both 24 h and 72 h forecasts provided useful services for the day of the opening ceremony of the Beijing Olympic Games and subsequent sport events. A correlation coefficient of 0.82 was achieved between the forecasts and (air pollution index API) and 0.59 between the forecasts and observed PM all reaching the significant level of 0.001, for the summer period. A correction factor was also introduced to enable the PLAM to diagnose the observed PMconcentrations all year round.
机译:开发了一种参数化方法来诊断北京和其他城市的空气质量,该指数的指标是将PM和相关天气要素之间的相关性作为索引(将空气质量与气象要素PLAM关联的参数),该指标基于2000年至2007年之间的数据。确定了诊断空气污染强度的因素,并将其包括在PLAM中,包括大气中的水蒸气凝结,湿势当量温度和风速。结果发现,空气质量较差的日子,PM升高通常与PLAM值较高有关,与同期的平均值相比,其PLAM值较高,具有较高的温度,湿度,较低的风速和较高的稳定性。 24小时和72小时的预报都为北京奥运会开幕式当天及以后的体育赛事提供了有用的服务。在夏季,预测值与(空气污染指数API)之间的相关系数为0.82,而预测值与实测的PM之间的相关系数均为0.59。还引入了校正因子,以使PLAM能够全年诊断出所观察到的PM浓度。

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