Atmospheric Pollutant Dispersion Modeling Methods

IF 1 Q4 ENGINEERING, CIVIL Journal of Applied Engineering Sciences Pub Date : 2023-12-01 DOI:10.2478/jaes-2023-0038
G. Ionescu, Gh.C. Ionescu
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Abstract

Abstract The method of modeling and simulating different phenomena in various fields of scientific knowledge is an essential part of many branches of science, each of which has specific types of models. Using mathematical methods, these models try to simulate a real situation by means of numerical analysis that describes the relationships between the characteristic quantities of air pollution phenomena, such as emissions, meteorology atmospheric concentrations of pollutants, deposition, and other factors. Air and water pollution measurements give information about the environmental concentrations of pollutants scattered by different sources but can only describe the phenomena involved qualitatively, at specific locations and times, without identifying the causes that lead to pollution problems. However, models of air and groundwater pollution can provide a deterministic description of the problems of air or water quality, including an analysis of the factors and causes of the pollution phenomenon (emission sources, meteorological processes and chemical and physical changes), and some guidance for implementing measures to mitigate these phenomena of environmental pollution. Due to the ability of these methods to establish the relative importance of relevant processes, they play an important role in current day science.
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大气污染物扩散建模方法
建模和模拟各种科学知识领域中不同现象的方法是许多科学分支的重要组成部分,每个分支都有特定类型的模型。利用数学方法,这些模式试图通过数值分析来模拟真实情况,描述空气污染现象的特征量之间的关系,如排放、大气污染物的气象浓度、沉积和其他因素。空气和水污染测量提供了关于不同来源分散的污染物的环境浓度的信息,但只能定性地描述在特定地点和时间所涉及的现象,而不能确定导致污染问题的原因。然而,空气和地下水污染模式可以提供空气或水质问题的确定性描述,包括对污染现象的因素和原因(排放源、气象过程和化学和物理变化)的分析,以及对实施减轻这些环境污染现象的措施的一些指导。由于这些方法能够确定相关过程的相对重要性,它们在当今科学中发挥着重要作用。
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自引率
9.10%
发文量
18
审稿时长
12 weeks
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