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Eolian Suspension Above the Saltation Layer, the Concentration Profile

机译:盐层上方的风成悬浮物,浓度分布

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摘要

The acquisition of a new set of data on dust emission obtained at Owens Lake, California, was used to assess the performance of a previously published theoretical model that describes the normalized concentration profile of material in suspension above an actively emitting surface as a logarithmic function. The normalized concentration profile has more commonly been modeled as a power law. Least-squares regression was used to fit both the logarithmic and the power-law model to approximately 20 hours of data on 10-minute average concentration profiles. Results for all these data combined and for each individual profile indicated that the logarithmic model better explains the concentration gradient profile than the power-law model. The predicted behavior of the model parameters, including a concentration scaling parameter * and a transfer coefficient for suspended particles , was examined. It was observed that * divided by a defined reference concentration was relatively invariant during emission events as predicted by the model and had a value of 0.18 (± 0.02). For the reference heights at which particle concentration and wind speed were measured (1.7 and 9 m) the transfer coefficient for suspended particles was approximately 0.22 (± 0.05) of the calculated momentum transfer coefficient defined here as the wind speed at the reference height divided by the friction velocity.
机译:在加利福尼亚州欧文斯湖获取的新的尘埃排放数据集用于评估先前发布的描述的理论模型的性能 主动发射表面上方的悬浮液中的物质的归一化浓度分布,作为对数函数。 归一化浓度曲线更通常被建模为 作为幂定律。使用最小二乘回归法将 的对数和幂律模型拟合到10分钟平均浓度分布上大约20 小时的数据。对于所有这些数据的合并结果以及每个单独的配置文件的结果 表明,对数模型比幂律模型更好地解释了浓度 梯度曲线。研究了模型参数的预测行为 ,包括浓度比例参数 *和悬浮颗粒的传递系数。 观察到*除以定义的参考浓度 在排放事件期间相对不变,如模型所预测的 ,其值为0.18(±0.02)。对于测量颗粒浓度和风速 的参考高度(1.7和9 m),悬浮 颗粒的传递系数约为0.22(计算的 动量传递系数的±0.05)定义为参考高度处的风速 除以摩擦速度。

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  • 来源
    《Journal of Sedimentary Research》 |2004年第2期|00000176-00000183|共8页
  • 作者

    J.A. Gillies; L. Berkofsky;

  • 作者单位

    Division of Atmospheric Sciences, Desert Research Institute, 2215 Raggio Parkway, Reno, Nevada, 89512 U.S.A.jackg@dri.edu;

    The Jacob Blaustein Institute for Desert Research, Ben Gurion University of the Negev, Sede Boker Campus, 84933, Israel;

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