粉尘分布与排放模拟(研究区域:Mahshahr地区)

H. Asgari, Z. Mansouri
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引用次数: 0

摘要

沙尘暴是近年来西亚地区最重大的挑战之一,而且由于干旱而加剧。灰尘以分散且特别不均匀的方式排放,使得很难确定确切的影响,因此建模是量化灰尘排放的最佳方法之一。此外,为了应对这一现象,有必要确定主要和影响因素,并通过结合这些因素,我们可以使用模型预测沙尘暴。本研究的目的是模拟2017年1月26日和27日马赫沙尔干旱和超干旱地区两个暴雨日的沙尘分布和排放。为此,对每个气象参数(第2.2节)、灰尘输入浓度参数进行了编码,并在MATLAB R2014软件中进行了编码。此外,在ARCGIS 9.3软件中为研究区域的两个暴风雨日绘制了沙尘输入浓度图。最后,使用WRF模型输出对结果进行了评估。基于研究区域两个暴雨日的灰尘输入浓度的小时数据,还评估了所开发模型的效率。对该模型的评估表明,该模型能够以高强度和高精度模拟研究区域的灰尘分布。研究期间的R相关指数为0.84,这表明该模型的准确性很高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dust Distribution and Emission Modeling (Study Area: Mahshahr Area)
Dust storms are one of the most significant challenges in the Western Asia region in recent years and have intensified because of drought. Emission of dust in a scattered and especially heterogeneous manner has made it difficult to determine the exact effect, so modeling is one of the best possible ways to quantify dust emission. Moreover, to deal with this phenomenon, it is necessary to identify the main and influential factors and, by combining these factors, we can predict dust storms using models. The purpose of this study is to model the distribution and emission of dust in two stormy days on the 26th and 27th of January 2017 in the arid and the hyper-arid region of Mahshahr. For this purpose, coding of each meteorological parameter (section 2.2), dust input concentration parameters, and in MATLAB R2014 software have been made. Also, dust input concentration maps were prepared for the two stormy days in the study area in ARCGIS 9.3 software. Finally, the results were evaluated with WRF model outputs. The efficiency of the developed model was also evaluated based on the hourly data of the dust input concentration for two stormy days in the study area. The evaluation of the model shows the ability of this model to modeling the dust distribution in the study area with high intensity of dust emitted and high accuracy. The R correlation index for the period under study was 0.84, which indicates the high accuracy of the model.
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