A new framework to estimate spatio-temporal ammonia emissions due to nitrogen fertilization in France

Ramanantenasoa, Maharavo Marie Julie; Gilliot, Jean-Marc; Mignolet, Catherine; Bedos, Carole; Mathias, Etienne; Eglin, Thomas; Makowski, David; Génermont, Sophie

doi:10.1016/j.scitotenv.2018.06.202

Cited by 31 publications

(37 citation statements)

References 31 publications

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“…In the Champagne-Ardennes region, hotspot areas do not correspond to vineyards but rather to field vegetables and root crops (https://agriculture.gouv.fr/ overview-french-agricultural-diversity; last access: 10 January 2020; AGRESTE, Service Central d'Enquêtes et d'Études Statistiques; http://agreste.agriculture.gouv.fr/ IMG/pdf/R4215A15.pdf; last access: 10 January 2020). This is a main region of mineral fertilization used by the sugar industry in France (Ramanantenasoa et al, 2018). Hamaoui-Laguel et al (2014) and Fortems-Cheiney et al (2016) have previously noted that NH 3 emissions in this region, mainly due to fertilization of barley, sugar beet, and potato starch in early March, were higher than what was reported in the EMEP inventory.…”

Section: Seasonal Variabilitiesmentioning

confidence: 83%

“…At the regional scale (over the 400 km radius around Paris), NH 3 total columns derived from IASI in 2014 and 2015 are highly variable in spring, reaching 10 % higher in March and 50 % lower in May than the 10-year average. Since ammonia emission variability in France depends on seasonal timing of fertilizer applications (Ramanantenasoa et al, 2018), this period is crucial for assessing the model capacity. Second, the IdF region (100 km radius around Paris) also experienced high NH 3 and PM 2.5 events in spring 2014 and 2015 ( Fig.…”

Section: Modelling Nh 3 From the Chimere Modelmentioning

confidence: 99%

“…4). It has been recently shown that spatial variability in NH 3 emissions in France is due to fertilizer use and type and pedoclimatic conditions and that temporal variability depends on seasonal timing of fertilizer applications (Ramanantenasoa et al, 2018). In addition, interannual variabilities in NH 3 concentrations over the United States are dominated by meteorological conditions (Schiferl et al, 2016).…”

Section: Interannual Variabilitiesmentioning

confidence: 99%

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Atmospheric ammonia variability and link with particulate matter formation: a case study over the Paris area

et al. 2020

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Abstract. The Paris megacity experiences frequent particulate matter (i.e.PM2.5, particulate matter with a diameter less than 2.5 µm) pollution episodes in spring (March–April). At this time of the year, large numbers of the particles consist of ammonium sulfate and nitrate which are formed from ammonia (NH3) released during fertilizer spreading practices and transported from the surrounding areas to Paris. There is still limited knowledge of the emission sources around Paris, their magnitude, and their seasonality. Using space-borne NH3 observation records of 10 years (2008–2017) and 5 years (2013–2017) provided by the Infrared Atmospheric Sounding Interferometer (IASI) and the Cross-Track Infrared Sounder (CrIS) instrument, regional patterns of NH3 variabilities (seasonal and interannual) are derived. Observations reveal identical high seasonal variability with three major NH3 hotspots found from March to August. The high interannual variability is discussed with respect to atmospheric total precipitation and temperature. A detailed analysis of the seasonal cycle is performed using both IASI and CrIS instrument data, together with outputs from the CHIMERE atmospheric model. For 2014 and 2015, the CHIMERE model shows coefficients of determination of 0.58 and 0.18 when compared to IASI and CrIS, respectively. With respect to spatial variability, the CHIMERE monthly NH3 concentrations in spring show a slight underrepresentation over Belgium and the United Kingdom and an overrepresentation in agricultural areas in the French Brittany–Pays de la Loire and Plateau du Jura region, as well as in northern Switzerland. In addition, PM2.5 concentrations derived from the CHIMERE model have been evaluated against surface measurements from the Airparif network over Paris, with which agreement was found (r2 = 0.56) with however an underestimation during spring pollution events. Using HYSPLIT cluster analysis of back trajectories, we show that NH3 total columns measured in spring over Paris are enhanced when air masses originate from the north-east (e.g. the Netherlands and Belgium), highlighting the importance of long-range transport in the NH3 budget over Paris. Variability in NH3 in the north-east region is likely to impact NH3 concentrations in the Parisian region since the cross-correlation function is above 0.3 (at lag = 0 and 1 d). Finally, we quantify the key meteorological parameters driving the specific conditions important for the formation of PM2.5 from NH3 in the Île-de-France region in spring. Data-driven results based on surface PM2.5 measurements from the Airparif network and IASI NH3 measurements show that a combination of the factors such as a low boundary layer of ∼500 m, a relatively low temperature of 5 ∘C, a high relative humidity of 70 %, and wind from the north-east contributes to a positive PM2.5 and NH3 correlation.

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Section: Seasonal Variabilitiesmentioning

confidence: 83%

Section: Modelling Nh 3 From the Chimere Modelmentioning

confidence: 99%

Section: Interannual Variabilitiesmentioning

confidence: 99%

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Atmospheric ammonia variability and link with particulate matter formation: a case study over the Paris area

et al. 2020

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“…Based on the 9-year time series, the study focuses on seasonal variability of atmospheric NH 3 in the Paris region and we found peaks especially in March. The predominance of NH 3 peaks occurring in March is particularly noticeable: all measurements above 2 10 16 molecules NH 3 cm -2 , which corresponds to the mean of data plus one standard deviation over the springtime period (March/April/May), come from this month, and are well connected to the manure spreading time periods (Ramanantenasoa et al, 2018). Mineral fertilizers are mainly applied in Île-de-France region because they are major arable crop (especially cereals) farming areas and could result in high ammonia concentrations under sunny conditions when the solar OASIS measurements can only be performed.…”

Section: Discussionmentioning

confidence: 85%

“…As for many other regions, NH 3 seasonality is well marked, with high values that might be connected with the timing of agricultural manure spreading. As shown by both approaches of Ramanantenasoa et al (2018Ramanantenasoa et al ( ) for 2005Ramanantenasoa et al ( -2006 fertilizers are mainly used in the Île-de-France region because they are major arable crop (especially cereals) farming areas.…”

Section: Seasonal Variability Of Nh 3 Ground-based Datamentioning

confidence: 99%

Atmospheric ammonia (NH<sub>3</sub>) over the Paris megacity: 9 years of total column observations from ground-based infrared remote sensing

Tournadre

Chelin

Ray

et al. 2019

Preprint

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Abstract. In this paper, we present the first multi-year time series of atmospheric NH3 ground-based measurements in the Paris region (Créteil, 48.79° N, 2.44° E, France) retrieved with the mid-resolution “Observations of the Atmosphere by Solar absorption Infrared Spectroscopy” (OASIS) ground-based Fourier Transform infrared solar observatory. Located in an urban region, OASIS has previously been used for monitoring air quality (tropospheric ozone and carbon monoxide), thanks to its specific column sensitivity across the whole troposphere including the planetary boundary layer. A total of 4920 measurements of atmospheric total columns of ammonia have been obtained from 2009 to 2017, with uncertainties ranging from 20 % to 35 %, and are compared with NH3 concentrations derived from the Infrared Atmospheric Sounding Interferometer (IASI). OASIS ground-based measurements show significant interannual, and seasonal variabilities of atmospheric ammonia. NH3 total columns over the Paris megacity (12 million people) vary seasonally by 2 orders of magnitude, from approximately 1015 molecules cm−2 in winter to 1017 molecules cm−2 for spring peaks, probably due to springtime spreading of fertilizers on surrounding croplands. Also, we observe a correlation of daily NH3-OASIS total columns with daily PM2.5 in situ measurements from the closest Airparif surface station in springtime.

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2019

Numerical Simulation, an Art of Prediction 1

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A new framework to estimate spatio-temporal ammonia emissions due to nitrogen fertilization in France

Cited by 31 publications

References 31 publications

Atmospheric ammonia variability and link with particulate matter formation: a case study over the Paris area

Atmospheric ammonia variability and link with particulate matter formation: a case study over the Paris area

Atmospheric ammonia (NH<sub>3</sub>) over the Paris megacity: 9 years of total column observations from ground-based infrared remote sensing

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A new framework to estimate spatio-temporal ammonia emissions due to nitrogen fertilization in France

Cited by 31 publications

References 31 publications

Atmospheric ammonia variability and link with particulate matter formation: a case study over the Paris area

Atmospheric ammonia variability and link with particulate matter formation: a case study over the Paris area

Atmospheric ammonia (NH&lt;sub&gt;3&lt;/sub&gt;) over the Paris megacity: 9 years of total column observations from ground-based infrared remote sensing

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Atmospheric ammonia (NH<sub>3</sub>) over the Paris megacity: 9 years of total column observations from ground-based infrared remote sensing