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首页> 外文会议>25th Conference on Agricultural and Forest Meteorology and 12th Joint Conference on the Applications of Air Pollution Meteorology with Aamp;WMA and Fourth Symposium on the Urban Environment May 20-24, 2002 Norfolk, Virginia >COMPARISON OF DISPERSION MODEL UNCERTAINTY COMPONENTS
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COMPARISON OF DISPERSION MODEL UNCERTAINTY COMPONENTS

机译：色散模型不确定性组件的比较

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摘要

The uncertainty in the dispersion model results generally comes from the following three components: (1) variability due to random turbulence in the atmosphere, (2) input data errors, and (3) errors and uncertainties in model physics. Because of the turbulent nature of the atmosphere, the same meteorological conditions do not always lead to the same pollutant concentrations. Input data errors can be due to instrument errors or unrepresentative instrument siting. Errors and uncertainties in model physics can be due to factors such as inadequate physical formulation or uncertainties in the parameters used in these physical formulations. This paper investigates the relative contributions from random turbulence and from input data errors to the uncertainty in dispersion model results. The Dipole Pride 26 (DP26) field data and the Second-order Closure Integrated Puff (SCIPUFF) model are used to address the above issue.
机译：色散模型结果的不确定性通常来自以下三个组成部分：（1）大气随机湍流引起的可变性；（2）输入数据误差；（3）模型物理中的误差和不确定性。由于大气的湍流性质，相同的气象条件并不总是导致相同的污染物浓度。输入数据错误可能是由于仪器错误或仪器位置不具代表性。模型物理中的错误和不确定性可能是由于诸如物理公式不足或这些物理公式中所用参数的不确定性等因素引起的。本文研究了随机湍流和输入数据误差对色散模型结果不确定性的相对影响。偶极子骄傲26（DP26）现场数据和二阶封闭积分吹法（SCIPUFF）模型用于解决上述问题。

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