TY  - JOUR
A1  - Siegmund, Nicole
A1  - Panebianco, Juan E.
A1  - Avecilla, Fernando
A1  - Iturri, Laura Antonela
A1  - Sommer, Michael
A1  - Buschiazzo, Daniel
A1  - Funk, Roger
T1  - From gustiness to dustiness
T2  - Atmosphere
N2  - This study delivers the first empirical data-driven analysis of the impact of turbulence induced gustiness on the fine dust emissions from a measuring field. For quantification of the gust impact, a new measure, the Gust uptake Efficiency (GuE) is introduced. GuE provides a percentage of over- or under-proportional dust uptake due to gust activity during a wind event. For the three analyzed wind events, GuE values of up to 150% could be found, yet they significantly differed per particle size class with a tendency for lower values for smaller particles. In addition, a high-resolution correlation analysis among 31 particle size classes and wind speed was conducted; it revealed strong negative correlation coefficients for very small particles and positive correlations for bigger particles, where 5 mu m appears to be an empirical threshold dividing both directions. We conclude with a number of suggestions for further investigations: an optimized field experiment setup, a new particle size ratio (PM1/PM0.5 in addition to PM10/PM2.5), as well as a comprehensive data-driven search for an optimal wind gust definition in terms of soil erosivity.
KW  - wind gusts
KW  - wind erosion
KW  - particle uptake
KW  - dust plumes
Y1  - 2022
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/61924
SN  - 2073-4433
VL  - 13
IS  - 8
PB  - MDPI
CY  - Basel
ER  -