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General plume dispersion model (GPDM) for point source emission

机译:用于点源发射的通用羽流扩散模型(GPDM)

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Gaussian-based dispersion models are widely used to estimate local pollution levels. The accuracy of such models depends on stability classification schemes as well as plume rise equations. A general plume dispersion model (GPDM) for a point source emission, based on Gaussian plume dispersion equation, was developed. The program complex was developed using Java and Visual basic tools. It has the flexibility of using five kinds of stability classification schemes, i.e., Lapse Rate, Pasquill-Gifford (PG), Turner, σ-θ and Richardson number. It also has the option of using two types of plume rise formulations - Briggs and Holland's. The model, applicable for both rural and urban roughness conditions, uses meteorological and emission data as its input parameters, and calculates concentrations of pollutant at the center of each cell in a predefined grid area with respect to the given source location. Its performance was tested by comparing with 4-h average field data of continuous releases of SO_2 from Dadri thermal power plant (Uttar Pradesh, India). Results showed that the Turner scheme used with Holland's equation gives the best outcome having a degree of agreement (d) of 0.522.
机译:基于高斯的扩散模型被广泛用于估算局部污染水平。这种模型的准确性取决于稳定性分类方案以及羽状上升方程。基于高斯羽状弥散方程,建立了点源发射的通用羽状弥散模型(GPDM)。该程序组合是使用Java和Visual Basic工具开发的。它具有使用5种稳定性分类方案的灵活性,即失效率,帕斯奎尔-吉福德(PG),特纳,σ-θ和理查森数。它还可以选择使用两种类型的羽状上升配方-Briggs和Holland's。该模型适用于农村和城市的粗糙条件,使用气象和排放数据作为输入参数,并相对于给定的源位置,计算预定义网格区域中每个单元中心的污染物浓度。通过与达德里热电厂(印度北方邦)连续释放SO_2的4小时平均现场数据进行比较,测试了其性能。结果表明,与Holland方程一起使用的Turner方案具有0.522的一致度(d),效果最佳。

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