@article {JRN55384,
	title = {Soil loss and PM10 emissions from agricultural fields in the Junggar Basin over the past six decades},
	journal = {Journal of Soil and Water Conservation},
	volume = {77},
	year = {2022},
	month = {3/10/2022},
	pages = {113-125},
	abstract = {The Junggar Basin in north Xinjiang Province is regarded as one of the important dust sources in China. There is, however, a lack of information on long-term dust emissions originating from the basin. In these largely agricultural communities, wind erosion is a major concern that results in a threat to sustainable agriculture and environmental quality. This study assesses dust emissions from the agricultural community of the Junggar Basin in north Xinjiang based on soil and land use types extracted from remote sensing data in response to weather and climate over the past six decades. The Wind Erosion Prediction System (WEPS) was used to simulate annual soil loss and PM10 (particulate matter <=10 μm in aerodynamic diameter) emissions at 11 meteorological stations across the Junggar Basin. From 1958 to 2018, annual soil loss and PM10 emissions significantly decreased 3.65 and 0.2 kg m{\textendash}2 y{\textendash}1, respectively. This decrease was likely due to decreasing wind speed, but also associated with increased precipitation and temperature, and decreased solar radiation. Wind erosion occurred most frequently during April and May, accounting for 39\% of the annual soil loss and 40\% of the annual PM10 emission. In contrast, no erosion occurred in January, February, and December as a result of low temperature (<{\textendash}8.6{\textdegree}C), frozen soil conditions, and snow cover. Wind erosion risk appeared to decrease during the past six decades in response to observed climate change across the basin; however the southeast part of the basin experienced increasing wind erosion risk over the six decades. Projects to control wind erosion risk and combat dust emission should be given priority in the southeast part of the basin. Frequency of dust events was compared to simulated erosion; a strong linkage was found between simulated soil loss and frequency of dust storms based on regression analysis. This demonstrated that the modelling was acceptable in the conditions of this study and the results were prone to be reliable.},
	keywords = {climate, dust emission, land use types, soil types, weather, WEPS},
	doi = {10.2489/jswc.2022.00018 },
	url = {files/bibliography/22-013.pdf},
	author = {H. Pi and Nicholas Webb and J. Lei and S. Li}
}
@article {JRN54140,
	title = {Consistency of wind erosion assessments across land use and land cover types: a critical analysis},
	journal = {Aeolian Research},
	volume = {15},
	year = {2014},
	month = {11/2014},
	pages = {153-260},
	chapter = {253},
	abstract = {<p>In recent decades, large areas of rangeland have been converted to cropland or vice versa in the western United States and elsewhere in the world, driven largely by increased crop prices, loss of access to irrigation water, and agricultural expansion / contraction. Wind erosion and dust emissions are key processes that have not been well studied during land use and associated land cover changes. This assessment is challenging because currently no model is available that can provide field- to landscape-scale estimates of wind erosion on both rangeland and cropland, and account for soil, vegetation and management changes. In this paper, we compare aeolian sediment transport estimates from available cropland models and a number of mass flux equations developed for rangelands, for a bare soil surface with different levels of crust and surface roughness under different wind speeds. Our results show that the simulated horizontal sediment mass fluxes are similar for cropland and rangeland models at large surface crust coverage and aerodynamic roughness. In situations of small to moderate crust cover and soil roughness, horizontal mass fluxes varied by over three orders of magnitude among the tested models. A correlation analysis shows that horizontal mass fluxes simulated by cropland and rangeland models are correlated, with correlation R2 of 0.37-0.99 across different models. Finally, we propose an approach to estimate changes in aeolian transport with changes in land use. Although this approach may be limited to situations of unvegetated surfaces, it provides a preliminary method for land managers and policymakers to estimate potential wind erosion changes in response to land use change.</p>
},
	keywords = {horizontal mass flux, model comparison, RWEQ, SWEEP, WEPS, wind erosion modeling},
	doi = {10.1016/j.aeolia.2014.04.007},
	url = {/files/bibliography/14-038.pdf},
	author = {Junran Li and Gregory S. Okin and John Tatarko and Nicholas Webb and Jeffrey E. Herrick}
}
