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Eulerian-Lagrangian model for predicting odor dispersion using instrumental and human measurements

机译：欧拉-拉格朗日模型，用于通过仪器和人工测量预测气味扩散

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摘要

A Eulerian-Lagrangian model was used to predict the trajectory and spatial distribution of odor and odorants downwind from an industrial facility with multiple sources of odor emissions. Specifically, the model was used to simulate the dispersion of odor from a confined animal feeding operation (CAFO) under different meteorological conditions: (1) during daytime when the boundary layer is usually lurbulent due to ground-level heating from solar short wave radiation, and (2) during the evening when deep surface cooling through long-wave radiation to space recreates a stable (nocturnal) boundary layer. Aerial photographs were taken of the CAFO, and the geographical area containing the odorant sources was partitioned into 10m~2 grids. Relative odorant concentrations present at each grid point that corresponded to an odor source were measured on site and then entered into a database. The predicted odor dispersion distance was found to be greater at night-time than during daytime and was consistent with field reports from individuals living near the CAFO. The model utilizes single numbers that represent relative concentrations or intensities (e.g. from an electronic nose or human judgments) to simulate downwind dispersion. The advantages of this algorithm over standard Gaussian plume models are that: the velocity variances and covariances among its three components, integral time scale (a measure of eddy coherency), and complex boundary conditions (e.g. complex release points, surface boundary conditions) are explicitly considered.
机译：使用欧拉-拉格朗日模型预测来自具有多种气味排放源的工业设施的顺风的气味和顺风的轨迹和空间分布。具体而言，该模型用于模拟在不同气象条件下密闭动物饲养操作（CAFO）散发出的气味：（1）在白天，边界层通常由于太阳短波辐射产生的地平面热量而变得混乱， （2）在晚上，当通过长波辐射向太空进行深层表面冷却时，会重新形成稳定的（夜间）边界层。对CAFO进行了航空摄影，并将包含气味源的地理区域划分为10m〜2个网格。在现场测量每个网格点上与气味源相对应的相对气味剂浓度，然后将其输入数据库。发现夜间预测的气味散布距离大于白天，并且与居住在CAFO附近的人的现场报告一致。该模型利用代表相对浓度或强度的单个数字（例如根据电子鼻子或人为判断）模拟顺风扩散。与标准高斯羽流模型相比，该算法的优势在于：明确表明了其三个分量之间的速度方差和协方差，积分时间标度（涡流一致性的度量）以及复杂的边界条件（例如，复杂的释放点，表面边界条件）考虑过的。

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