Boroughani, Mahdi
Hakim Sabzevari University
[ 1 ] - کانونهای برداشت گرد و غبار، مدل درخت رگرسیون تقویت شده، پهنهبندی حساسیت، شرق ایران
Due to the drought and land use changes in recent years, the phenomenon of storm dust in Iran is increasing as a dangerous environment. Dust influences climate change and human health, causing serious damage. The subject of this research is to identify and prepare a map of sensitivity of dust source area for controlling and determining the role of each of the factors affecting its occurrence us...
[ 2 ] - Susceptibility Zoning of Dust Source Areas by Data Mining Methods over Khorasan Razavi Province
Extended abstract Introduction Dust storms are natural hazards that effect on weather conditions, human health and ecosystem. Atmospheric processes are directly affected by the absorption and diffusion of radiation by dust, and dust in the cloud acts as a nucleus of congestion. The main dust areas in the world are flat topographically dry areas with erosion-sensitive soil and poor vege...
[ 3 ] - Dust source mapping using satellite imagery and machine learning models
Predicting dust sources area and determining the affecting factors is necessary in order to prioritize management and practice deal with desertification due to wind erosion in arid areas. Therefore, this study aimed to evaluate the application of three machine learning models (including generalized linear model, artificial neural network, random forest) to predict the vulnerability of dust cent...
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