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Utility of atmospheric transport runs done backwards in time for source term estimation

机译:大气运输的效用在时间上向后进行,以估算源项

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One of the difficulties encountered in source-term analyses for airborne contaminants is the large computational effort required to predict air concentrations for all possible release scenarios. In some cases, analysts use atmospheric ATM runs with complex models done in the reverse-time direction because one ATM run done backwards in time for each sample can yield as much information as potentially hundreds or thousands of ATM runs done forwards in time. Unfortunately, the effective atmospheric dilution between the source and sampling locations differ depending on the time direction of the ATM run, with runs in the forward time direction being more realistic. No general studies have been published comparing the agreement between runs in the two time directions.Over 18000 ATM runs at 14 release locations were used to explore the agreement between dilution factors for the forward and reversed time directions at distances up to 1000 km from the release point. Ten of the release locations have a correlation below 0.9, with the lowest correlations occurring over mountainous terrain. The release locations were estimated using the time-reversed ATM runs, with 26% of the estimated release points being within 10 km of the modeled release point, 61% within 25 km, and 80% within 50 km. Most of the location differences greater than 50 km occur for two release locations in mountainous terrain. Good time-reversibility cannot be guaranteed for a new analysis, so we recommend any source-term solution using time-reversed ATM runs should include comparisons based on forward time ATM runs.
机译:在空气污染物的源术语分析中遇到的困难之一是在所有可能的排放情景下预测空气浓度所需的大量计算工作。在某些情况下,分析人员将大气ATM运行与在逆时针方向上完成的复杂模型结合使用,因为每个样本在时间上向后进行一次ATM运行所产生的信息可能与在时间上向前进行数百或数千次ATM运行所产生的信息一样多。不幸的是,源和采样位置之间的有效大气稀释取决于ATM运行的时间方向,而朝前的时间方向运行更现实。尚无关于比较两个时间方向运行之间一致性的一般性研究的出版物。在14个发布位置进行了超过18000次ATM运行,以探索距离发布最远1000 km的正向和反向时间方向的稀释因子之间的一致性点。十个释放地点的相关性低于0.9,最低相关性发生在山区。使用时间反向ATM运行估计释放位置,估计释放点的26%在模拟释放点的10 km内,25 km内61%,50 km内80%。大于50 km的大多数位置差异发生在山区地形中的两个释放位置。对于新的分析无法保证良好的时间可逆性,因此我们建议使用时间反向ATM运行的任何源术语解决方案都应包括基于正向时间ATM运行的比较。

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