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COMPUTATIONAL FLUID DYNAMICS TECHNIQUES FOR MODELLING DUST STORM TURBULENCE PATTERNS IN IRAQ

Malak Jaafar Ali Department of Medical Laboratory Technics, AlNoor University College, Nineveh, Iraq
Maysaloun Amer Saad Department of Accounting/ Imam Jaafar Al-Sadiq University/ Iraq
Nour Rahim Nimah Department of education/ Al-Manara College For Medical Sciences/ (Maysan)/ Iraq
Heba muhammad Hussein Department of Accounting , Al-Zahrawi University College, Karbala, Iraq
Zaid Hilal Abed Alqiraishi College of education/ The Islamic university in Najaf, Iraq
Noor Karim College of education, Al-Farahidi University, Baghdad/ Iraq
Jasim Ahmede Jasim Department of accounting,/ AL-Nisour University College/ Baghdad/ Iraq
Adil Abbas Alwan College of Technical Engineering, National University of Science and Technology, Dhi Qar, 64001, Iraq
Mohammed G. S. Al-Safi Department of Accounting , Al-Esraa University/Baghdad, Iraq
Dulfikar jawad hashim Department of Accounting , Mazaya university college/ Iraq

Abstract

Considering the various factors that affect dust storms, the independent variables included a set of six meteorological and climatological indicators: wind speed, atmospheric pressure, dust concentration, temperature, humidity, whereas dependent variable, turbulence intensity, was used to measure how turbulent dust storms are examined. Data regarding all the specified variables was accessed from “Geospatial Interactive Online Visualization and Analysis Infrastructure” for a period of twenty years. The findings suggested that there is a meaningful link between the dependent variable and the independent variables for the long-term associations. All have a significant influence on the atmosphere's predisposition to possess the kinetic energy. The significance of this discovery lies in its disclosure of the intricate nature of atmospheric dynamics and their susceptibility to a broad spectrum of external factors. By addressing these obstacles, atmospheric study will progress, and more inclusive models and policies will be developed. Therefore, the current research has also been effective in providing different research implications.

Keywords

Dust storms, FMOLS, Turbulence intensity, Atmosphere, Soil moisture, Surface roughness,