Predicting land susceptibility to atmospheric dust emissions in central Iran by combining integrated data mining and a regional climate model
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DOI: 10.1016/j.apr.2021.03.005
Abstract: Abstract This study aims to predict land susceptibility (a term that indicates the degree of sensitivity of land to detachment of soil particles by wind) to dust emissions in Yazd province, central Iran, by combining… read more here.
Keywords: dust emissions; model; land susceptibility;