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Prediction of Ambient Nitrogen Dioxide Concentrations in the Vicinity of Industrial Complex Area, Thailand

机译:泰国工业园区附近环境中一氧化二氮浓度的预测

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The AERMOD dispersion model was evaluated for its performance in predicting 1-hour average nitrogen dioxide (NO2) concentrations in the vicinity of the largest petrochemical industrial complex in Thailand during the period between January 2012 and December 2013. Measured data from 10 ambient air monitoring stations were intensively used to compare with modeled results. Model results indicated that the tier 1 approach (full conversion of NOx to NO2) provided the most accurate results compared with other tiers. It also performed very well in predicting the extreme end of NO2 concentrations. With an absence of emission data from mobile sources, tier 1 was concluded as the most appropriate scheme for prediction of ambient NO2 ground-level concentrations in this study.
机译:评估了AERMOD扩散模型在预测2012年1月至2013年12月期间泰国最大的石化工业园区附近1小时平均二氧化氮(NO2)浓度方面的性能。来自10个环境空气监测站的实测数据被广泛用于与建模结果进行比较。模型结果表明,与其他方法相比,方法1(将NOx完全转化为NO2)提供了最准确的结果。在预测NO2浓度的极端值方面也表现出色。由于缺少来自移动源的排放数据,因此在本研究中,第1层被认为是预测环境NO2地面浓度的最合适方案。

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