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Holistic model for atmospheric corrosion Part 4 - Geographic information system for predicting airborne salinity

机译:大气腐蚀的整体模型第4部分-预测空气中盐度的地理信息系统

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This paper is the fourth in a series of five papers addressing the factors controlling and predicting marine aerosol concentrations on land. It outlines the procedures used to develop a geographic information system (GIS) model of airborne salinity across Australia. The basic mathematical formulae have been presented previously, and this paper outlines how these formulae are applied in a GIS system. While the basic formulae are based on models of the processes controlling the formation and distribution of marine aerosols, some constants have been determined empirically. These constants are established by regression analysis using data derived and presented previously from a long range study of atmospheric salinity levels in a transect across the Australian State of South Australia. The model was then tested with databases of airborne salinity measurements throughout Australia and was shown to possess a high level of accuracy. It was then used to predict the salinity across Australia, with a salinity map of Australia being produced. A number of features of the map are discussed. Lastly, the model is used to illustrate the role of coastal forms in controlling salinity in adjacent regions.
机译:本文是五篇系列文章中的第四篇,涉及控制和预测陆地上海洋气溶胶浓度的因素。它概述了用于开发整个澳大利亚的航空盐度地理信息系统(GIS)模型的过程。前面已经介绍了基本的数学公式,并且本文概述了这些公式如何在GIS系统中应用。虽然基本公式基于控制海洋气溶胶形成和分布过程的模型,但已根据经验确定了一些常数。这些常数是通过回归分析建立的,该分析使用了先前从横跨南澳大利亚州的样地中大气盐度水平的长期研究中得出并呈现的数据。然后,该模型在整个澳大利亚的空气盐度测量数据库中进行了测试,结果表明该模型具有很高的准确性。然后将其用于预测整个澳大利亚的盐度,并制作澳大利亚的盐度图。讨论了地图的许多功能。最后,该模型用于说明沿海地区在控制邻近地区盐度中的作用。

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