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Computer- and lidar-aided monitoring of industrial sources aerosol polluted zones in a city

机译:工业资源的计算机和激光乐队辅助监测城市中的工业资源污染区

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Instantaneous air pollution fields in towns have mosaic structure and to measure its probability function one needs a measuring network with a great number of sensors. The problem cannot be solved purely by means of computer simulations because of the turbulent character of the air flows among buildings. In this paper we studied this problem by using lidar measurements and computer simulations simultaneously. The lidar data was used for the model parameterization. To simulate the atmosphere transport of the pollution puffs over city buildings we developed the special computer trajectory model. It takes into account the processes of plume widening while spreading over obstacles. The method is easily adjusted on the base of a plume geometrical and transparency lidar measurements. It uses the approximation of a quasipotential flow. The model accounts the widening of a plume flowing around buildings through effects of air volumes scattering on the potentials that represent building configurations. This method was used to study air polluted zones from one of Moscow's heat power stations.
机译:城镇的瞬时空气污染场具有马赛克结构,并测量其概率功能,需要具有大量传感器的测量网络。由于建筑物之间的空气流动的湍流特性,因此不能纯粹通过计算机模拟来解决问题。在本文中,我们通过同时使用LIDAR测量和计算机仿真研究了这个问题。 LIDAR数据用于模型参数化。为了模拟城市建筑物的污染浮夸的大气运输,我们开发了特殊的计算机轨迹模型。它考虑了羽流扩展的过程,同时扩散障碍物。该方法在羽流几何和透明激光雷达测量的基础上容易调整。它使用Quasipotention流的近似值。模型账户通过空气体积散射对代表构建配置的潜力的影响来扩展建筑物周围的羽流。该方法用于研究莫斯科的热力站之一的空气污染区。

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