Data · dataset · 2022
Wind erosion, meteorological and wind profile monitoring in a groundnut field in Bambey, Senegal, 2020-2021 (ENCAS project)
Listed in DataSuds
In order to measure horizontal flux of aeolian sediment and the main dynamic parameters (wind erosion threshold, aerodynamic roughness length), a set of instruments was set up in February 2020 in the framework of the ENCAS research project.
Description
In a groundnut field of about 100 m x 100 m, we installed 5 anemometers (2 dimensional (2D) sonic anemometers WindSonicTM Gill Instruments Ltd) at 0.25m, 0.66m, 1m, 1.5m, and 1.9m agl, a rain gauge (ARG100 Tipping Bucket rain gauge Campbell® Scientific company), and a Saltiphone, that detects the impacts of saltating grains.
All these measurements were performed with 5-minute time resolution. Missing data were rare (less than 1%) over the whole year 2020 for these ENCAS dataset (wind speed and Saltiphone). Simultaneously, horizontal sediment flux was monitored using five masts of 5 sand traps each (Modified Wilson and Cooke – MWAC) set up downwind the main wind directions of the study plot, i.e. at its southwestern corner.
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The sand-traps were set up at heights of 0.05m, 0.1m, 0.2m, 0.4m, 0.8m agl. They were regularly collected (approximately every 2 weeks) and their content was weighed with 1 mg precision. The groundnut field was made bare and tilled during February 2020; wind speed (sand traps) measurements started on February 22nd (24th).
Then, groundnut was cropped during the rainy season (short-cycle cultivar, sown on July 8th and 20th because of labor availability, and harvested on October 26th).
Links
Where it is published
- Dataverse dataset page dataverse.ird.fr/dataset.xhtml?persistentId=doi%3A10.23708%2FLNZLZF ↗
landing page · from dataverse ird fr
- DOI doi.org/10.23708/lnzlzf ↗
DOI / persistent id · from dataverse ird fr
Catalogue records · 1
- Dataverse API dataverse.ird.fr/api/datasets/:persistentId/?persistentId=doi%3A10.23708%2FLNZL… ↗
metadata API · from dataverse ird fr
Topics
- Stated by source
- Agricultural Sciences · Earth and Environmental Sciences
- From keywords
- Earth & Environmental Science · Life Sciences
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataSuds | doi:10.23708/LNZLZF | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:agricultural-sciences | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| created_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| description | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /description |
| publication_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| title | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /name |
| updated_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| version_label | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 |