علوم غیرزیستی دریا
Zahra Godini; Hossein Mohammad Asgari; Sorosh Zarghani
Abstract
Many wetlands and wet areas, including Hour al-Azim Wetland in Mesopotamia, is getting dried and small deserts have resulted that have been the source of many dust storms in recent years. One of ways to study this event is dust simulation and forecasting. In this study, the concentrations and behavior ...
Read More
Many wetlands and wet areas, including Hour al-Azim Wetland in Mesopotamia, is getting dried and small deserts have resulted that have been the source of many dust storms in recent years. One of ways to study this event is dust simulation and forecasting. In this study, the concentrations and behavior of dust in the wetland area of Hour al-Azim was investigated using WRF 3.7 numerical model and GOCART Schema. The corresponding model, taking into account the maximum parameters affecting the weather forecast that have a strong role in scale analysis, performs the corresponding calculations using the related equations and relations governing the atmosphere such as the equation of continuity, thermodynamic equations and observing atmospheric-chemical reactions, and produces the output as numeric matrices. The WRF model provides a reasonable estimate of the aerosols in the area under study in terms of scale and temporal changes. The concentration of PM10 simulated by the WRF model was compared with the hourly concentrations of the measuring station of the Khuzestan Department of Environment for Ahvaz. The simulated concentrations are in agreement with the hourly concentrations of the measuring station, which shows that the WRF numerical model is effective in simulating the concentration of particles. By examining the model It can be seen that the PM10 concentration in the simulation basin has been correctly obtained by the dust emission model in the study, so it can be said that the performance of the GOCART scheme in estimating the quantity of PM10 as dust concentration, especially in terms of the pattern of changes and the detection of storms, has an acceptable quality.