Datasets on aerosol particle vertical fluxes over different surfaces: emission and dry deposition velocity according to atmospheric turbulence

DOI

Three projects (LANDES, REMORA, DEPECHEMOD) were conducted between 2007 and 2016 to quantify the atmospheric vertical fluxes of aerosol particle as function of their size and the micrometeorological conditions, above different natural surfaces (maize, grassland, bare soil and forest). An original methodology based on eddy correlation method and spectral analysis of the turbulent scalars in the atmospheric surface layer was used to quantify the vertical fluxes and dry deposition (Damay, 2010; Damay et al., 2009; Pellerin, 2017; Pellerin et al., 2017). This method uses two condensation particle counters (CPC 3788 and 3786, TSI) for the particle size range of 2.5-14 nm (Twin CPC device) and an Electrical Low-Pressure Impactor (ELPI, DEKATI) for particles between 7 nm and 1.2 µm (ELPI device). These devices have been coupled with sonic anemometer (Young 81000). Nine experimental campaigns were realised in France, and emission fluxes and deposition fluxes of aerosol particles were quantified. Emission fluxes are probably due to the particle condensation growth with water vapor at the level of the canopy. Deposition fluxes are due to dry deposition (Brownian diffusion, interception, impaction, gravitational settling) on surfaces. These datasets of vertical fluxes and the dry deposition velocity could use to validate atmospheric model for atmospheric pollution and climate change.

Fluxes measurements over maize, grassland and bare soil during Landes 1 (maize), Lande 2 (bare soil), Landes 3 (grassland) and Landes 4 (maize) experimentale campaigns.

Fluxes measurements over forest during Remora experimental campaign.

Fluxes measurements over grassland during 4 Depechmod experimental campaigns.

Identifier
DOI https://doi.org/10.57745/YNSIBV
Related Identifier IsCitedBy https://doi.org/10.1016/j.jaerosci.2009.09.010
Related Identifier IsCitedBy https://doi.org/10.1016/j.jaerosci.2017.09.004
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/YNSIBV
Provenance
Creator MARO, denis ORCID logo
Publisher Recherche Data Gouv
Contributor MARO, Denis; Pellerin, Geoffrey; Damay, Pierre; Connan, Olivier; Laguionie, Philippe; Hébert, Didier; Solier, Luc; Morillon, Mehdi; Boulaud, Denis; Institut de radioprotection et sureté nucléaire
Publication Year 2024
Funding Reference NEEDS REMORA
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact MARO, Denis (IRSN - Institut de Radioprotection et de Sûreté Nucléaire)
Representation
Resource Type Dataset
Format text/tab-separated-values; application/pdf
Size 616678; 268333; 2831755; 538292; 629018; 226230; 196830
Version 1.0
Discipline Geosciences; Physics; Earth and Environmental Science; Environmental Research; Natural Sciences
Spatial Coverage Cherbourg en Cotentin