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Assessing the PM10 emission potential of sandy, dryland soils in South Africa using the PI-SWERL
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4640541
Author(s) Vos, Heleen; Fister, Wolfgang; von Holdt, Johanna; Eckardt, Frank; Palmer, Anthony; Kuhn, Nikolaus J.
Author(s) at UniBasel Kuhn, Nikolaus J.
Fister, Wolfgang
Vos, Heleen Cornelia
Year 2021
Title Assessing the PM10 emission potential of sandy, dryland soils in South Africa using the PI-SWERL
Journal Aeolian Research
Volume 53
Pages / Article-Number 100747
Keywords PI-SWERL Dust emission Croplands South Africa Soil crust
Abstract The Free State has been identified as the region with the most dust sources in South Africa. These dust sources can be linked with the large, heavily cultivated cropland areas in this province, which leaves fields vulnerable to wind erosion after the harvest in the winter. For this study, the focus was on the factors that influence the emission from bare, flat surfaces on agricultural lands in this region. The Portable In-Situ Wind Erosion Labo- ratory (PI-SWERL) was used to measure the emission flux from adjacent crusted and loose surfaces, which was combined with shear strength, moisture, and soil texture measurements. Boosted regression tree (BRT) analyses were used to identify the variable with the highest relevance on the emission flux. On the whole dataset, that the shear strength is the most important variable that controls the emission. This is reflected in the significantly lower emission from the crusted surfaces (0.49 mg m−2 s−1) compared to that of loose surfaces (2.34 mg m−2 s−1). However, for crusted surfaces, the presence of abraders appeared to be the most significant factor in emission, showing a power relationship between the abrader count and the emission flux (R2 = 0.76). In the case of the loose surfaces, the presence of clay and silt was a major influence in emissivity, with a linear relationship between the two variables (R2 = 0.68). This difference in factors depending on the agricultural disturbance, asks for a more holistic approach when predicting emission from such arid cropland areas.
Publisher Elsevier
ISSN/ISBN 1875-9637
edoc-URL https://edoc.unibas.ch/87660/
Full Text on edoc Available
Digital Object Identifier DOI 10.1016/j.aeolia.2021.100747
ISI-Number 000702573100004
Document type (ISI) Article
 
   

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