离散除尘点随机选择和粒径区间分布方法对大气污染的数值模拟

P. Amosov, A. Baklanov, D. Makarov, V. Masloboev
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引用次数: 1

摘要

给出了Apatity大气污染的数值模拟结果,其中随机选择的离散空间间隔区域的除尘面积和风速发生了变化。使用COMSOL程序对体积配方进行CFD建模。为了计算空气动力学特性,使用标准(k-ε)湍流模型使用了不可压缩流体近似。通过考虑沉积速率的对流扩散杂质转移方程的数值求解,对细尘传播过程进行了建模。在随机选择20个离散地点的情况下,进行了数值实验(总数超过1400),风速从5米/秒变化到23米/秒,除尘面积从2公顷到10公顷。获得了特定除尘区域的动态速度分布、灰尘污染的间隔和总空间分布(直径为0至70微米、增量为10微米的灰尘颗粒)。注意到根据尾矿堆海滩表面多尘区域的位置,Apatity特定区域对大气污染水平的影响具有特殊性。分析了由除尘点组合数量平均得出的Apatity中心大气污染水平的计算结果,并将其推广为函数依赖关系。用线性函数描述了在固定风速下灰尘浓度与除尘面积的关系。在固定的除尘区域,灰尘浓度对风速的依赖性可以通过幂函数来近似。广义函数依赖性使得根据尾矿堆表面随机选择的离散区域的除尘面积和风速预测Apatity中的粉尘浓度成为可能。获得的相关性允许根据气流速度预测大气污染水平达到最大允许浓度的临界除尘区域。
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Numerical modeling of atmospheric pollution in the approaches of random selection of discrete dusting sites and interval distribution of dust size
The results of numerical simulation of atmospheric pollution in Apatity are presented with variations in the dusting area of discrete spatially spaced areas selected randomly and the wind flow velocity. CFD modeling in the volumetric formulation was performed using the COMSOL program. To calculate the aerodynamic characteristics, an incompressible fluid approximation was used using the standard ( k -ε) turbulence model. The process of fine dust propagation is modeled by numerical solution of the convective-diffusion impurity transfer equation taking into account the deposition rate. Numerical experiments (with a total number of more than 1,400) were carried out with a variation of the wind flow velocity from 5 to 23 m/s and a dusting area from 2 to 10 ha with a random selection of 20 discrete sites. Dynamic velocity distributions for specific areas of dusting, interval and total spatial distributions of dust pollution (dust particles with a diameter from 0 to 70 microns in increments of 10 microns) are obtained. The peculiarities of the influence on the levels of atmospheric pollution of specific areas of Apatity depending on the location of dusty areas on the surface of the beach of the tailings dump are noted. The calculated levels of atmospheric pollution in the center of Apatity averaged by the number of combinations of dusting sites are analyzed and generalized to functional dependencies. The calculated dependences of the dust concentration on the dusting area at a fixed wind speed are described by linear functions. The dependence of the dust concentration on the wind flow velocity at a fixed dusting area can be approximated by a power function. The generalized functional dependence makes it possible to predict the dust concentration in Apatity depending on the dusting area of randomly selected discrete areas on the surface of the tailings dump and the wind flow velocity. The obtained dependence permits to make a forecast of the critical dusting area at which the level of atmospheric pollution reaches the maximum permissible concentrations, depending on the speed of the wind flow.
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