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A modeling system for describing mineral dust and sea salt cycles in the atmosphere

机译:用于描述大气中矿物粉尘和海盐循环的建模系统

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Air quality in and around airports is an important issue because of the critical physical and chemical processes that take place. In air quality modeling systems, these physical and chemical components are usually treated separately. This approach causes a loss of crucial information about atmospheric processes that evolve in a small timescale. This information is very important especially in prediction modeling systems where the spatial resolution is very fine. Hence, an on-line coupled weather and air quality modeling system would provide a more thorough simulation of these atmospheric processes. In this presentation we discuss the characteristics of the first component of the new modeling tool that is under development for this purpose. More specifically, the treatment of the natural sources of particulate matter (PM) will be discussed, and especially for mineral dust and sea salt, because of their impacts on weather, environment and aviation safety. This category of sources is considered crucial in many regions and especially for airports that are located in areas with frequent dust events, as well as those near to coastal areas. The main features of the parameterization, production, transport and transformation processes will be presented and the ability of the modeling system to describe and predict dust event features will be tested. The different parts of this development have been independently validated by comparison with available measurements and experimental data. For a first testing of the development the dust event of 16-18 April 2005 has been simulated. The agreement of the components of the wet and dry deposition processes with experimental data is satisfying. The modeled concentrations of mineral dust are in good agreement with measurements from air quality stations around Athens International Airport (AIA).
机译:机场及其周围的空气质量是一个重要的问题,因为发生了临时的物理和化学过程。在空气质量建模系统中,这些物理和化学成分通常是单独处理的。这种方法导致关于大气流程的重要信息,这些过程中的大气过程中的少量时间表发展。这些信息特别重要,特别是在预测建模系统中,空间分辨率非常好。因此,在线耦合天气和空气质量建模系统将提供更彻底的这些大气过程模拟。在本演示文献中,我们讨论了为此目的开发的新型建模工具的第一个组成部分的特征。更具体地,将讨论颗粒物质(PM)的自然来源,特别是对于矿物尘埃和海盐,因为它们对天气,环境和航空安全的影响。这类来源在许多地区被认为是至关重要的,特别是对于位于具有频繁尘埃事件的地区的机场以及靠近沿海地区的地区的机场。参数化,生产,运输和转换过程的主要特点将显示,并测试建模系统描述和预测灰尘事件特征的能力。通过与可用测量和实验数据进行比较,该开发的不同部分已被独立验证。对于开发的第一次测试,模拟了2005年4月16日至18日的灰尘事件。湿和干沉积过程组分与实验数据的协议令人满意。矿物粉尘的模型浓度与雅典国际机场(AIA)周围的空气质量站测量吻合良好。

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