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EVALUATION OF A LAGRANGIAN PARTICLE MODEL (SPRAY) TO ASSESS ENVIRONMENTAL IMPACT OF AN INDUSTRIAL FACILITY IN COMPLEX TERRAIN

机译:评估复杂地形中工业设施对环境的影响的拉格朗日粒子模型(喷雾)评估

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摘要

The accuracy of an environmental impact assessment study in analyzing the consequences of either continuous or accidental releases in the atmosphere is critical especially when adverse health effects are expected to be found. High accuracy is hard to be achieved in complex areas where land/sea breeze and topography give rise to complex circulation patterns. In these conditions stationary modeling systems such as the Gaussian often fail, providing misleading results which in turn lead to poor mitigation and control strategies. Conversely, advanced modeling systems, able to deal with inhomogeneous and non stationary atmospheric phenomena, can be expected to achieve better accuracy. The present study shows the application of a modeling system, composed by a diagnostic meteorological model and a Lagrangian particle model, to assess the environmental impact of a cement plant located close to a populated urban area in central Italy and characterized by complex topography and atmospheric circulation. 3-D wind and temperature fields, produced by interpolation of ground and vertical remote sensing meteorological data, have been provided to a particle dispersion model to calculate 3-D concentration of NO_x, SO_2 and CO in a 10 x 10 km~2 domain. Comparison of results with observations confirms that the modeling system is able to achieve high accuracy when high quality data are provided as input. The applied methodology has shown that a modeling system can be used to provide local authorities and plant managers with a valid tool for consequences analysis studies.
机译:在分析大气中连续释放或意外释放的后果时进行环境影响评估研究的准确性至关重要,尤其是在预期会发现不利健康影响的情况下。在陆地/海风和地形导致复杂的环流模式的复杂区域中,很难实现高精度。在这种情况下,固定建模系统(例如高斯模型)经常会失败,从而产生误导性的结果,进而导致不良的缓解和控制策略。相反,可以预期能够处理非均匀和非平稳的大气现象的高级建模系统将获得更高的精度。本研究显示了由诊断气象模型和拉格朗日粒子模型组成的建模系统在评估意大利中部人口稠密地区附近的水泥厂对环境的影响方面的应用,该水泥厂具有复杂的地形和大气环流特征。由地面和垂直遥感气象数据的插值产生的3-D风和温度场已提供给粒子扩散模型,以计算10 x 10 km〜2域中NO_x,SO_2和CO的3-D浓度。结果与观察结果的比较证实,当提供高质量数据作为输入时,建模系统能够实现高精度。应用的方法论表明,可以使用建模系统为地方当局和工厂经理提供进行后果分析研究的有效工具。

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