2018
DOI: 10.1016/j.dib.2018.09.119
|View full text |Cite
|
Sign up to set email alerts
|

Data on spatio-temporal representation of mineral N fertilization and manure N application as well as ammonia volatilization in French regions for the crop year 2005/06

Abstract: The data presented in this article are related to the research article entitled “A new framework to estimate spatio-temporal ammonia emissions due to Nitrogen fertilization in France” (Ramanantenasoa et al., 2018) but are given with more details at a regional scale (NUTS2) in the objective to get them available for other research or applied studies. They concerns (i) the data implemented in the CADASTRE_NH3 framework and (ii) the data obtained using it, for crop year 2005/06. For the source data, the article f… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
4
1
1

Relationship

2
4

Authors

Journals

citations
Cited by 7 publications
(7 citation statements)
references
References 5 publications
0
7
0
Order By: Relevance
“…We focus our study on the diurnal evolution of ammonia during a major pollution event over the Paris region occurring at the end of March 2012. It corresponds to the period with highest concentrations of ammonia on the multiyear time series (2009-2017) of OASIS measurements, which is probably linked to the springtime spreading of mineral fertilizer in the Paris region and the surrounding regions (Ramanantenasoa et al, 2018;Tournadre et 270 al., 2020). It is the most polluted spring season between 2007 and 2015 (Petit et al, 2017).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We focus our study on the diurnal evolution of ammonia during a major pollution event over the Paris region occurring at the end of March 2012. It corresponds to the period with highest concentrations of ammonia on the multiyear time series (2009-2017) of OASIS measurements, which is probably linked to the springtime spreading of mineral fertilizer in the Paris region and the surrounding regions (Ramanantenasoa et al, 2018;Tournadre et 270 al., 2020). It is the most polluted spring season between 2007 and 2015 (Petit et al, 2017).…”
Section: Resultsmentioning
confidence: 99%
“…Concomitantly, ammonia concentrations have been found exceptionally high, as reported by surface in-situ measurements (Petit et al, 2015;Petetin et al, 2016) and remote sensing from the ground and satellite (Tournadre et al, 2020;Viatte et al, 2020). Indeed, that period of the year is characterized by fertilizer spreading, which can dramatically enhance NH3 emissions (Ramanantenasoa et al, 2018). 90 Different techniques are used to measure concentrations of NH3 in the atmosphere.…”
Section: Introductionmentioning
confidence: 96%
“…nasa.gov/, last access: 9 June 2019). We use the distinction between AOD from a fine (e.g., smoke or smog) and coarse (e.g., sea-salt or dust) modes at 500 nm, derived from the wavelength dependence of the AOD (O'Neill et al, 2003;Giles et al, 2019). Errors in AOD data correspond to approximately 0.02 (Giles et al, 2019).…”
Section: Local Conditions In the Paris Region From Ground-based Measurementsmentioning
confidence: 99%
“…These emissions are mainly due to the use of mineral fertilizer on barley, sugar beet and potato (Ramanantenasoa et al, 2018;Génermont et al, 2018). In particular, the use of urea or nitrogen solution and the high soil pH (Hamaoui-Laguel et al, 2014;Ramanantenasoa et al, 2018;Génermont et al, 2018) -parameters not taken into account by the TNO-GEN inventory -seem to be the factors responsible for the high emissions in this domain.…”
Section: Respective Contributions Of Different Sourcesmentioning
confidence: 99%
“…In particular, one of the challenges is to capture the right timing of fertilizer spreading at the weekly or even at the daily scale in order to reflect the effect of environmental and agronomic conditions on ammonia emissions. To this end, mechanistic models taking into account meteorological conditions, soil properties and agricultural practices have been developed (e.g., for Denmark (Skjøth et al, 2004), for the UK (Hellsten et al, 2008), and for mineral fertilization in springtime in France, Hamaoui-Laguel et al, 2014). Limitations for such approaches come from the fact that detailed agricultural data needed as input for such models are not available for most of the European countries.…”
Section: Introductionmentioning
confidence: 99%