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Tracer emissions inferred from a backward Lagrangian stochastic dispersionmodel: a validation study

机译:从后向拉格朗日随机分散模型推断出示踪物流量:验证研究

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摘要

A dispersion model provides a useful tool for estimating gas emissions. Combining predictions of dispersion from a source, and observations of downwind concentration C, one can diagnose source emission rate Q. Compared with other techniques, the dispersion-model-based approach has the benefit of experimental simplicity, flexibility in the type and location of the C measurement, and applicability (in principle) even in disturbed flows.
机译:分散模型提供了一种用于估计气体排放的有用工具。组合从源的分散的预测,以及对下行浓度C的观察,一个可以诊断源发射率Q.与其他技术相比,基于分散模型的方法具有实验简单性的益处,在类型的类型和位置的灵活性C测量,即使在受干扰的流动中也是如此的适用性(原则上)。

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