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首页> 外文会议>Tenth International Conference on Modelling, Monitoring and Management of Air Pollution Jul, 2002 City of Segovia >Determination of road traffic emissions from lidar data
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Determination of road traffic emissions from lidar data

机译：根据激光雷达数据确定道路交通排放

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Road transport is recognized as the major anthropogenic pollution source in urban areas worldwide. To predict the impact of emissions from automobiles on ambient air quality, different mathematical models have been developed, primarily based on the Gaussian plume equation. However there are few field data sets that could be used to evaluate these models. The lidar (Light Detection and Ranging) technique has been used to determine relative particle concentration over the streets of Iowa City, Iowa in December 2001. An important input to diffusion models is the emission rate of pollutants to the atmosphere, the so called emission inventory. Due to insufficient direct emission measurements, emission rates are usually estimated from mass balance calculations. A method has been developed for indirect determination of emission rates, mean wind speed and vertical diffusivity by inversion of the Gaussian model for diffusion from a line-source. To solve the inversion problem, a Newton-Raphson method has been used.
机译：公路运输被公认为是全世界城市地区主要的人为污染源。为了预测汽车排放物对周围空气质量的影响，主要基于高斯羽流方程，开发了各种数学模型。但是，很少有现场数据集可用于评估这些模型。 2001年12月，激光雷达（光探测和测距）技术已用于确定爱荷华州爱荷华市街道上的相对颗粒浓度。扩散模型的一项重要输入是污染物向大气的排放率，即所谓的排放清单。由于直接排放测量值不足，通常根据质量平衡计算来估算排放速率。已经开发出一种方法，可以通过反演高斯模型从线源进行扩散来间接确定排放率，平均风速和垂直扩散率。为了解决反演问题，已经使用牛顿-拉夫森方法。

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