In this study, the dust phenomenon was studied at the station of Isfahan temporally and spatially. For this purpose, the data, the time and date of the observation, the direction and wind speed, and the current weather condition were prepared. After extraction of dust codes (06 and 07) and statistical analysis of the data related to this phenomenon, the annual and seasonal wind rose and storm rose of the station were mapped using WRplot & WDconvert software during the statistical period of 2013-2002. The results showed that there were 525 days of dust in the region, which was the most frequent in 2012 with 62 days. Also, in May and spring, the highest frequency of dust occurred. The study of wind rose and storm rose annually confirms the formation of wind tunnel on the western-eastern route. The annual dust rose, divided into two meteorological codes 06 and 07, indicates that winds with dust from the Midwest are involved in the transport of suspended particles and formation of local dusts. Seasonal storm rose show the impact of different atmospheric systems throughout the year on the formation of dust phenomena in the region better and more accurately. With the onset of the cold season, the winds with dust are increasing from the northern half to Isfahan and reach the maximum in the winter, but with the start of the hot season, and especially the summer season, it is more intense than east to Isfahan, and from the west almost reaches zero.

Background and Purpose Recently, aerosols as one of the air pollutants (with natural or anthropogenic sources) have received increasing attention. In this study, the purpose is investigation of soil potential in production of dust (aerosol) storms using wind rose and storm rose. Material and Methodology Meteorological data and WRplot view software were used to draw the wind rose and hurricanes. Also, in order to study the wind direction on dusty days, the data of the Meteorological Organization and also to investigate the effect of meteorological parameters such as gentle wind percentage and prevailing wind percentage, statistical methods such as regression relationship, Pearson coefficient have been used. Also, the trend of annual and seasonal changes in the concentration of suspended particles (dust) has been studied in order to determine the seasons with the highest frequency of dust occurrence. Results The results indicated that winds blow from northwestern and west in all seasons. The highest frequency of winds is western. The wind roses of spring and summer indicated that the most frequent direction of prevailing winds are western to northwestern. Southeastern direction comes in next level. These storms are more frequent in winter and autumn seasons. Also, investigation of storm roses demonstrated that dominant winds have speed of less than 4. 5 meter per second (80%). This research shows that in study area, winds cannot erode the soil and product the aerosols. Discussion and Conclusion Therefore, the main source of recent dust must be searched in the neighboring countries

Introduction:The rapid reduction of fossil fuels, global warming, green house effects, environmental pollution and falling of acid rains have increased the need of attention to renewable energies especially wind energy as a clear interminable and free energy source (Rahman at el, 2003). Therefore, in order to exploit the potential energy of wind, assessment in different areas should be considered. This study assessed the potential of wind energy at Kermanshah province. Wind energy potential based on statistics of three hours wind direction and speed of synoptic stations of province including Kermanshah, Eslamabade Gharb, Ravansar, Kangavar and Sarpolzahab, Was assessed from 1997 to 2006. For showing wind speed and direction of province stations, the WRplot software was used as well us the Weibull mathematical model for befitting of data possibilities distribution.

This study aims to predict the vulnerability caused by hurricane crises and highlights the importance of effective crisis management in Khash City. Using a storm threshold speed of 15 m/s, the monthly, seasonal, and annual wind patterns of Khash City were analyzed with WRplot 8.0.2 software. To predict storm return periods for intervals ranging from 1 to 100 years, the Gumbel method and partial series method were applied based on the latest recorded data (1986–2018).The analytical results revealed that storm return periods were predicted with greater intensity using the partial series method compared to the Gumbel method. For the 100-year return period, the Gumbel method estimated the most severe monthly storms with intensities of 29.1 m/s, while the partial series method predicted stronger storms with intensities of 32.2 m/s, 31.7 m/s, and 30.4 m/s.The results suggest that the partial series method provides a more reliable prediction of hurricanes than the Gumbel distribution. This method's higher upper-limit estimates are particularly valuable for ensuring the safety of structures and for developing strategies to reduce human and financial losses. Consequently, the partial series method is recommended for hurricane prediction and optimal crisis management planning in Khash City.

Due to the environmental problems associated with fossil fuels and increasing energy needs, renewable wind energy will play a vital role in changing the future energy structure in Iran and the world, so the evaluation of wind resources plays an important role in exploiting this resource. In this research, wind information of the Karun region, with three-hour time intervals recorded in the eleven-year period (2010-2010), has been used in three stations in the south, northeast, and northwest of the city. In order to conduct this research, the wind energy potential in the region was evaluated with the aim of identifying the most suitable points for the installation of wind turbines, using the Weibull distribution function, and calculating the wind speed and density on a monthly and annual average. The annual windflowers of the stations in the study area were also plotted by processing the data of the mentioned statistical period using the WRplot software. The results showed that the stations in the south and northwest of the city at an altitude of 100 meters above the ground with an average annual speed of 4.04 and 7.08 meters per second and wind power density of 212 and 215 watts per square meter, respectively, have better talent and potential.

In this study, we have analyzed the climate of Gorgan by using climatic methods and then according to the trends of climatic elements during a 17-year period, the future climate of Gorgan has been studied. Climatic elements have been predicted up to year 2015. To the study changes and the types of trends, lineal Regression was used during a 50 year statistical period (1956-2005). We used the software SPSS and EXCEL for statistical analysis. We also used WRplot View software for studying the wind speed. Temperature, precipitation, relativehumidity, frost, wind, Z-standard temperature and precipitation, and climate classification are the parameters that are studied in this paper. The results of analyzing the statistics are as followings: Gorgans temperature is almost steady and has little changes. Precipitation has a meaningfull decreasing trend in all seasons. Relative humidity has a meaning full increasing trend. Frost dose not have a ditinct trend. Western and south western winds are predominatnt winds of Gorgan and the wind speed is usually between11 to 17 knots. By analyzing Z-standard for temperature and precipitation, it became clear that Gorgan climate has changed in 1972. Also Gorgan climate is studied based on Koppen method, Mediterranean weather and Semi-Humid moderate Emberger method.

Wind erosion is one of the most important natural processes in semi arid, arid and hyper arid regions. This process occurs in conditions that wind has considerable speed and abundance in addition to existence of sensitive soil. Bafgh city is one of the arid regions of Central Iran has low rainfall and poor plant cover. Strong winds blowing on the surface of these non-coverage land causing soil erosion and other problems. Identify Storm prone areas could reduce its risks and losses. So identification and controlling of storm prone areas, the wind erosion threshold velocity should be determined in different facies foremost. In this study, the threshold velocity of each facies was measured by using of wind erosion meter (W.E. meter), and the iso-threshold velocity map of wind erosion was provided. For analyzing critical wind speed and aspect, the anemometers data of Bafgh synoptic station during 14 years statistical period was used. Grueling winds condition of this region was studied by Wind Rose (WRplot view 5.2.1) and Sand Rose (Sand Rosegragh 3.0) software. Results showed grueling winds blow from Northeast in 39 percent of the study area are fine grain plain facies with parabolic surfaces and Nebka, sand dunes facies gardens and residential areas, and medium grain plain with medium reg and oued. The threshold velocity in these areas was 7 to 16 meters per second.

Introduction: The present study aimed to investigate the change of air pollutants in 2020 in Qom compared to the same period in 2019 in five scenarios. Materials and Methods: The hourly air quality data was obtained from air quality monitoring stations of Qom Environmental Protection Organization (EPO). The meteorological parameters were obtained from Iranian Meteorological Organization website. The data were analyzed using Excel, SPSS, and WRplot view. Results: In the first month of the COVID-19 crisis, NO2, SO2, and CO decreased by 26. 4, 39, and 0. 2 μ, g/m3 compared to same period in 2019, respectively,however, PM2. 5 and O3 increased by 7. 1 and 2. 3 μ, g/m3, respectively. In Iranian Nowruz holidays, an increase of 2. 9 μ, g/m3 in O3 mean concentration and a decrease of 8. 1, 23. 8, 22. 8, and 0. 2 μ, g/m3 in mean concentration of PM10, NO2, SO2, and CO were experienced. The prevailing wind direction during the 2020 in each scenario was from the west of Qom city. Conclusion: Gaseous pollutants decreased during the crisis, but particulate pollutants increased slightly compared to the same period in 2019. The lockdown may have had the most impact in decreasing pollutants. A slight increase in wind speed from the west could be a factor in increasing particles. This crisis provided an opportunity to assess the role of policies, such as traffic reduction plans or discarding worn-out cars or urban management to improve air quality.