Abstract:In this study, we propose amplification factors of single conical piles with different heights and sizes to describe wind erosion acceleration effects of piles compared to flat erodible surfaces. It is not difficult using traditional wind erosion models to estimate wind erosion of flat agricultural land or pastoral surfaces. However, in the current form these models cannot be used for elevated surfaces such as dunes or piles, which may lead to more serious dust emission and air pollution. A computational fluid dynamics simulation was used to refine a wind erosion estimation method of pile from the US Environmental Protection Agency (USEPA) by dividing the pile surface into multiple subareas with constant wind speed for each subarea and then obtaining ratios of pile erosion to the corresponding flat surface by calculating the total erosion rate of the pile and that of a flat surface with the same floor area. The ratios as amplification factors, E amp , for six pile sizes (from 1 to 12 m) and five wind speed scenarios covering most erosive daily wind speeds from 824 stations throughout China were analyzed and fitted to equations to enable consideration of other heights and wind speed conditions. The changing patterns of the factors were verified using experimental surveys of two plots via the structure-from-motion photogrammetry method, which generated high-resolution digital elevation maps and detected detailed erosion changes. The erosion from a stockpile surface was found to be 2.52 to 7.16 times that from a flat surface with the same floor area, and the influence of pile height on amplification factor could be expressed by a logarithmic equation. These factors can be easily applied to estimate pile erosion by multiplying them by wind erosion results for flat surfaces obtained from other indexes or models. The procedure described in this paper can be extended to consider amplification or reduction effects of dunes, hills, piles, pits, and gullies with different shapes or configurations in relation to wind erosion. Furthermore, the reliability of wind erosion estimation over complex surfaces can be improved to implement specific soil conservation practices.Key words: computational fluid dynamics-Dunhuang-pile-structure-from-motion photogrammetry-wind erosion Wind erosion produces suspended particles from erodible surfaces and causes air pollution, land degradation, and human health problems. The impact of wind erosion is significant in areas severely affected by poor air quality, such as northern China. The effects of terrain obstructions like dunes or piles on modifying wind speed and wind erosion have long been identified (Bagnold 1941; Stunder and Arya 1988;Sullivan and Ajwa 2011). Several models have been developed and improved to estimate wind erosion from agricultural, pastoral, and, sometimes, human disturbed surfaces (Alfaro and Gomes 2001;Hagen 2001;Tatarko et al. 2016;Wagner 2013;Zhang et al. 2017). However, there are no models capable of estimating wind erosion from elevated surfaces because ...