Mohammad reza Jamalizadeh Tajabadi; Ali reza Moghadam nia; Jamshid piri; Mohammad reza Ekhtesasi
Volume 17, Issue 2 , September 2010, , Pages 205-220
Abstract
Dust storms are common climatic events in arid, semi arid and desert regions of the world. These events impact human resources by foundation losses, every year. Accurate prediction of these events can be effective for decision support in environmental, health, army, and other related fields. An artificial ...
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Dust storms are common climatic events in arid, semi arid and desert regions of the world. These events impact human resources by foundation losses, every year. Accurate prediction of these events can be effective for decision support in environmental, health, army, and other related fields. An artificial neural network is a method which can predict nonlinear problems. In this study we attempted to predict dust storms and low visibility in Zabol city using synoptic data. Result indicates that this method is somewhat successful and appears that via identification of much more dust storm occurrence process, we can do more accurate prediction.
Abass Miri; Ahmad Pahlevanroy; Alireza Moghaddamnia
Volume 16, Issue 3 , December 2009, , Pages 329-342
Abstract
Occurrence of prolonged drought was commenced in Sistan region from 1999 caused by wetland dryness in Hamoun Lake and wind erosion. Severe wind erosion and dust storm cause huge damages to various aspects of the people's life in the study region and thus understanding of the impacts of soil erosion and ...
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Occurrence of prolonged drought was commenced in Sistan region from 1999 caused by wetland dryness in Hamoun Lake and wind erosion. Severe wind erosion and dust storm cause huge damages to various aspects of the people's life in the study region and thus understanding of the impacts of soil erosion and dust storms on human's lifefor making better decision is vital. The meteorological data of Sistan region and WRPLOT software were used to study wind erosion and draw wind rose in the study area. In addition, meteorological code numbers of 30 and 35 and the data of wind speed and direction as well as visibility were used to analyze dust storms datasets. The results show that prevailing wind has north to north west directions. It is found that droughts have increased the frequency of dust storms with mean dusty days, from 10 to 54 days in 1980 and 1999, respectively after drought occurrence. As above- mentioned, over period (1980-1999), there have been 324 dust storm days. The furthest horizontal visibility, between 1-5 km, took place in 2001, particularly in July, August, and September. It is found out that number of dust storm days which are recorded in summer season (June, July, August and September) is more than others. The length of dust storms in the region was between 3 to 110 hours. The frequency of dust storms occurred in more than 3 hours was fairly high. It can be concluded that wind erosion in the Sistan region has significantly increased after drought.