Abstract
Average wind erosivity is defined by a wind factor (Wf) in the Revised Wind Erosion Equation (RWEQ) model. To accurately compute the Wf, 1 min average wind data are needed. In this study, the Wf calculated from 1, 5, 10, 15, 30, 60 min average wind data and daily wind statistics (daily average, maximum and minimum wind speeds) were used to convert values of Wf estimated from different wind data type. The conversion methods, which establish the functional correlations between Wf values calculated from 1 min average wind speed data and the Wf values calculated from 5, 10, 15, 30, 60 min average wind speed data and daily wind statistics are described. So that the values of the Wf calculated from 1 min average wind speed data can be predicted from 5, 10, 15, 30, 60 min average wind speed data or daily wind statistics, respectively.
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Guo, Z., Chang, C., Wang, R. (2013). A Conversion Method between Wind Erosivity Values Estimated from Different Wind Datasets. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_54
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DOI: https://doi.org/10.1007/978-3-642-45025-9_54
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