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UNCERTAINTY ANALYSES OF BACKWARD LAGRANGIAN STOCHASTIC INVERSE-DISPERSION TECHNIQUE

机译:向后拉格朗日随机逆分散技术的不确定度分析

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The uncertainties of the bLS model accuracy were evaluated using randomly generated input variables for the model (wind speed, PICs, and heights of sensors) within manufactures' specification. The coefficients of variance of the MC simulation output distributions (7-11%) were smaller than typically that found in field validation studies (37%), ssuggesting that factors other than sensor uncertainties contributed to the overall uncertainties of the bLS technique in field settings. Vertical wind velocity and downwind path integrated concentraion were most sensitive to the change in emission rates.
机译:使用制造商规格内模型的随机生成输入变量(风速,PIC和传感器高度)评估了bLS模型准确性的不确定性。 MC模拟输出分布的方差系数(7-11%)比现场验证研究中的典型系数(37%)小,这表明除了传感器不确定性之外的其他因素也导致了bLS技术在现场设置中的总体不确定性。垂直风速和顺风路径综合集中度对排放率的变化最敏感。

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