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Showing Abstract of Wind Speed-Direction Simulation for Predicing Wind Erosion in Iran

 
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[ Downloads: 0 | Abstract Viewed: 202 | Pages: 6 ]

Title

Wind Speed-Direction Simulation for Predicing Wind Erosion in Iran

Topic: The Assessment of Climate Change Impacts Published Year: 2003
Presentation:
Published in:

[ 3rd Regional Conference on Climate Change ]

Original Language: Persian Full Text Size: Not Available

 

Abstract of the Article

 

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Download This article in PDF format Wind Speed-Direction Simulation for Predicing Wind Erosion in Iran

 

Authors:
[ Mirzamostafa ] -
[ Khalili ] -
[ kamali ] -
[ Hadarbadi ] -

 

Abstract:

Precise and reliable of wind erosion is quite essential for goals such as, conservation programs, natural resources, and combating air pollution. Because the eroding power of wind is related to the third power of wind speed, the distribution of wind speed-direction is a key role in predicting and controlling wind erosion. Thus, the objectives of this study were: 1) to provide a computer model that is able to simulate hourly wind speed-direction by stochastic method using Waybill distribution, 2) to validate the Waybill distribution in predicting hourly wind speed, and 3) to validate the computer model in predicting hourly wind speed-direction. The three-hourly wind speed-direction data belonging to 38 synoptic weather stations in Iran, with at least 10 years of raw data were obtained. Then, data were divided in two equal sections, using the first section for the simulation, and the second section for the validation of the computer model. In order to simulate wind speed-direction, Visual Basic software was used to develop a computer model called WINDPRED. The WTNDPRED is able to use the raw data provided by I.R. of Iran Meteorological Organization (IRIMO), and can predict the hourly wind speed-direction for each of the 16 cardinal for each month. To validate the Waybill distribution, the simulated wind speeds by the WINDPRED and the calculated ones by the Waybill distribution were compared. The correlation coeficients were significant at 1% level for each month at all stations. To validate the WINDPRED model, the simulated wind speed-direction by the WrNDPRED and the raw data were also compared. The correlation coefficients were significant at 1% level for each month at all stations.

 

Keywords:

Wind erosion, Wind simulation, Waybill distribution, Stochastic.

 

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