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
BT  - the impact of wind gusts on particulate matter emissions in field experiments in La Pampa, Argentina
JF  - 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
U6  - https://doi.org/10.3390/atmos13081173
SN  - 2073-4433
VL  - 13
IS  - 8
PB  - MDPI
CY  - Basel
ER  - 
TY  - JOUR
A1  - Reiche, Matthias
A1  - Funk, Roger
A1  - Zhang, Zhuodong
A1  - Hoffmann, Carsten
A1  - Reiche, Johannes
A1  - Wehrhan, Marc
A1  - Li, Yong
A1  - Sommer, Michael
T1  - Application of satellite remote sensing for mapping wind erosion risk and dust emission-deposition in Inner Mongolia grassland, China
JF  - Grassland science
N2  - Intensive grazing leads to land degradation and desertification of grassland ecosystems followed by serious environmental and social problems. The Xilingol steppe grassland in Inner Mongolia, China, which has been a sink area for dust for centuries, is strongly affected by the negative effects of overgrazing and wind erosion. The aim of this study is the provision of a wind erosion risk map with a spatial high resolution of 25 m to identify actual source and sink areas. In an integrative approach, field measurements of vegetation features and surface roughness length z0 were combined with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image data for a land use classification. To determine the characteristics of the different land use classes, a field observation (ground truth) was performed in April 2009. The correlation of vegetation height and z0 (R2 = 0.8, n = 55) provided the basis for a separation of three main classes, grassland, non-vegetation and other. The integration of the soil-adjusted vegetation index (SAVI) and the spectral information from the atmospheric corrected ASTER bands 1, 2 and 3 (visible to near-infrared) led to a classification of the overall accuracy (OA) of 0.79 with a kappa () statistic of 0.74, respectively. Additionally, a digital elevation model (DEM) was used to identify topographical effects in relation to the main wind direction, which enabled a qualitative estimation of potential dust deposition areas. The generated maps result in a significantly higher description of the spatial variability in the Xilingol steppe grassland reflecting the different land use intensities on the current state of the grassland less, moderately and highly degraded. The wind erosion risk map enables the identification of characteristic mineral dust sources, sinks and transition zones.
KW  - Advanced Spaceborne Thermal Emission and Reflection Radiometer data
KW  - dust emission and deposition
KW  - soil-adjusted vegetation index
KW  - semiarid grassland
KW  - wind erosion
Y1  - 2012
U6  - https://doi.org/10.1111/j.1744-697X.2011.00235.x
SN  - 1744-6961
VL  - 58
IS  - 1
SP  - 8
EP  - 19
PB  - Wiley-Blackwell
CY  - Malden
ER  -