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首页> 外文期刊>Boundary-layer Meteorology >Using Temperature Fluctuation Measurements to Estimate Meteorological Inputs for Modelling Dispersion During Convective Conditions in Urban Areas
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Using Temperature Fluctuation Measurements to Estimate Meteorological Inputs for Modelling Dispersion During Convective Conditions in Urban Areas

机译:利用温度波动测量估算气象输入,以模拟城市对流条件下的色散

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We examine the performance of several methods to estimate meteorological inputs for modelling dispersion in urban areas during convective conditions. Sensible heat flux, surface friction velocity and turbulent velocities are estimated from measurements of mean wind speed and the standard deviation of temperature fluctuations at a single level on a tower at two suburban sites and at one urban site in Riverside, California. These estimates are compared with observations made at these sites during a field study conducted in 2007. The sensible heat flux is overestimated in the urban area, while it is underestimated at a suburban site when temperature fluctuations are used in the free convection formulation to estimate heat flux. The bias in heat flux estimates can be reduced through a correction that depends on stability. It turns out that the bias in heat flux estimates has a minor effect on the prediction of surface friction velocity and turbulent velocities. Estimates of sensible heat flux, surface friction velocity and turbulent velocities are sensitive to estimates of aerodynamic roughness length, and we suggest estimating the aerodynamic roughness length through detailed micrometeorological measurements made during a limited field study. An examination of the impact of the uncertainty in estimating surface micrometeorology on concentrations indicates that, at small distances from a surface release, ground-level concentrations computed using estimates of heat flux and surface friction compare well with the those based on observed values: the bias is small and the 95% confidence interval of the ratio of the two concentrations is 1.7. However, at distances much larger than the Obukhov length, this confidence interval is close to 2.3 because errors in both friction velocity and heat flux affect plume spread. Finally, we show that using measurements of temperature fluctuations in estimating heat flux is an improvement on that based on the surface energy balance, even when net radiation measurements are available.
机译:我们研究了几种估算对流条件下模拟城市地区弥散性气象输入方法的性能。合理的热通量,表面摩擦速度和湍流速度是通过测量加利福尼亚州里弗赛德市两个郊区站点和一个城市站点的单塔平均风速和温度波动的标准偏差得出的。将这些估计值与2007年进行的现场研究期间在这些站点上获得的观测值进行比较。当在自由对流公式中使用温度波动来估算热量时,城市地区的显热通量被高估了,而郊区的显热通量被低估了。通量。可以通过取决于稳定性的校正来减小热通量估计中的偏差。事实证明,热通量估算中的偏差对表面摩擦速度和湍流速度的预测影响较小。显热通量,表面摩擦速度和湍流速度的估计值对空气动力学粗糙度长度的估计很敏感,我们建议通过有限的野外研究中进行的详细微气象测量来估算空气动力学粗糙度长度。对估计表面微气象学不确定性对浓度的影响进行的检查表明,在距表面释放较小的距离处,使用热通量和表面摩擦力估算值计算出的地平面浓度与基于观测值的地面浓度值比较:很小,两种浓度的比率的95%置信区间为1.7。但是,在远大于Obukhov长度的距离处,该置信区间接近2.3,因为摩擦速度和热通量的误差都会影响羽流扩散。最后,我们表明,即使有净辐射测量可用,在估计热通量时使用温度波动的测量也是对基于表面能平衡的测量的改进。

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