From gustiness to dustiness
- 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), asThis 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.…
Author details: | Nicole SiegmundORCiDGND, Juan E. PanebiancoORCiD, Fernando AvecillaORCiD, Laura Antonela IturriORCiD, Michael SommerORCiDGND, Daniel BuschiazzoORCiD, Roger FunkORCiD |
---|---|
DOI: | https://doi.org/10.3390/atmos13081173 |
ISSN: | 2073-4433 |
Title of parent work (English): | Atmosphere |
Subtitle (English): | the impact of wind gusts on particulate matter emissions in field experiments in La Pampa, Argentina |
Publisher: | MDPI |
Place of publishing: | Basel |
Publication type: | Article |
Language: | English |
Date of first publication: | 2022/07/25 |
Publication year: | 2022 |
Release date: | 2024/01/03 |
Tag: | dust plumes; particle uptake; wind erosion; wind gusts |
Volume: | 13 |
Issue: | 8 |
Article number: | 1173 |
Number of pages: | 14 |
Funding institution: | joint project "Multiscale analysis of quantitative and qualitative fine; particulate matter emissions from agricultural soils of La Pampa,; Argentina" - Deutsche Forschungsgemeinschaft (DFG) of Germany [DFG-GZ:; Fu 247/10-1]; National Council for Research and Technology of Argentina; (CONICET) |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Umweltwissenschaften und Geographie |
DDC classification: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
Peer review: | Referiert |
Publishing method: | Open Access / Gold Open-Access |
DOAJ gelistet | |
License (German): | CC-BY - Namensnennung 4.0 International |