363372 Estimation of Sampling Efficiency of the Big Spring Number Eight (BSNE)Sampler at Different Heights Based on Sand Particle Size in the Taklimakan Desert

Tuesday, 14 January 2020
Hall B1 (Boston Convention and Exhibition Center)
Qing He, BMRC, Urumqi, China

The Big Spring Number Eight (BSNE) sampler is an important and widely used instrument in studies of aeolian sand transport. Its sampling efficiency is an important parameter and varies with particle size. However, little is known about the variations in sampling efficiency caused by the differences in particle size with height. The variations in particle size with height from 10 to 200 cm were obtained from a field experiment at four sites in the Taklimakan Desert from May 2010 to April 2011. The variation in the sampling efficiency of the BSNE sampler with particle size was estimated based on previous studies and a wind tunnel experiment. It was found that the average particle size decreased with height above ground from10 to 200 cm at three experimental sites, while at the other site it decreased from 10 to 15 cm and then slightly increased. The percentage distribution of particle sizes with height was similar for sizes below 63 μm and between 125 and 200 μm at all experimental sites, but there were differences in the percentage of size classes between 63 and 125 μm mand above 200 μm. The sampling efficiencies ranged from 66.27 to 58.98%, 64.97 to 57.47%, 56.04 to 52.76%, and 72.07 to 58.9% at the four sites, respectively, with an average of 64.84 to 57.03% at heights from 10 to 200 cm. After correcting for sampling efficiency, the amount of aeolian sand that passed through a section of 100 cm (width) × 200 cm (height) increased by 44.5, 52.1, 78.8, and 26.4% at the four sites, respectively, with an average of 50.5%.The sampling efficiency ofthe BSNE sampler showed almost no general relationship with wind speed for the same sand samples, and its relation to particle size could be represented with a power function. In this study, the sampling efficiencies for different particle size fractions were determined based on a power function that was used to describe the relationship between sampling efficiency and particle size from previous studies and our wind tunnel results. Sampling efficiency data for the 30 to 124.6 μm particle size class was lacking, and might have an effect on our results. Therefore, further research is needed to determine the exact sampling efficiencies for different particle size fractions. These results indicate that the sampling efficiency of the device needs to be considered when making observations across a gradient of particle sizes.
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