Changes in spatial patterns of ammonia dry deposition flux and deposition threshold exceedance according to dispersion model formalism and horizontal resolution

Autor: Matthias Beekmann, Guillaume Siour, Jean-Louis Drouet, Pierre Cellier, Niramson Azouz
Přispěvatelé: Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA (UMR_7583)), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), ANR-12-AGRO-0003,ESCAPADE,Evaluation de Scénarios sur la Cascade de l'Azote dans les Paysages Agricoles et moDElisation territoriale(2012), European Project: 282910,EC:FP7:ENV,FP7-ENV-2011,ECLAIRE(2011), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
OPS-ST model
010504 meteorology & atmospheric sciences
sub-grid variability
Threshold limit value
Health
Toxicology and Mutagenesis
[SDE.MCG]Environmental Sciences/Global Changes
[SDV]Life Sciences [q-bio]
[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy
modèle CHIMERE
Wind
010501 environmental sciences
Toxicology
Atmospheric sciences
01 natural sciences
Wind speed
symbols.namesake
Flux (metallurgy)
CHIMERE model
[SDV.EE.ECO]Life Sciences [q-bio]/Ecology
environment/Ecosystems
Ammonia
flux ammoniac
paysage
Ecosystem
0105 earth and related environmental sciences
[SDV.EE]Life Sciences [q-bio]/Ecology
environment
Air Pollutants
Critical load
Atmospheric models
Atmosphere
Eulerian path
General Medicine
ammonia fluxes
15. Life on land
landscape
Pollution
variabilité sous-maille
Deposition (aerosol physics)
13. Climate action
[SDE]Environmental Sciences
Spatial ecology
symbols
Environmental science
modèle OPS-ST
[SDV.EE.BIO]Life Sciences [q-bio]/Ecology
environment/Bioclimatology
Environmental Monitoring
Zdroj: Environmental Pollution
Environmental Pollution, 2021, 268 Part B, pp.115823. ⟨10.1016/j.envpol.2020.115823⟩
Environmental Pollution, Elsevier, 2021, 268 Part B, pp.115823. ⟨10.1016/j.envpol.2020.115823⟩
ISSN: 0269-7491
1873-6424
Popis: International audience; Ammonia (NH 3) emitted into the atmosphere from agricultural sources may affect nearby sensitive ecosystems due to high dry deposition fluxes on vegetation and soil surfaces, contributing to critical load exceedances. Ammonia fluxes near sources are simulated by either short-range atmospheric models or regional models using large grid cell sizes. However, studies are missing on the comparison of the results simulated by these two types of models. This paper presents the effect of model formalism, input factors, especially grid cell size and wind speed and the choice of deposition threshold on the spatial patterns of NH 3 dry deposition fluxes and deposition threshold exceedances. We used the Eulerian chemistry-transport model CHIMERE and the Gaussian plume model OPS-ST on two study domains characterised by contrasting land use. We showed that the average annual NH 3 dry deposition fluxes over each whole domain are similar for both models. By contrast, NH 3 dry deposition fluxes near sources are higher when simulated with OPS-ST that provides analytical solutions that can be sampled with small grid cell sizes (i.e., from 25 to 1600 m in this study), than with CHIMERE, which uses large grid cell sizes (i.e., 800 and 1600 m). As a result, the spatial patterns of deposition threshold exceedance were very different between both models. These patterns depend mainly on grid cell size, the input factors and the choice of the deposition threshold value. We show that the model formalism has a relatively small effect on the results and that the differences result mainly from the spatial resolutions to which they can be applied. Simulation results must therefore be interpreted carefully, taking into account the simulation conditions.
Databáze: OpenAIRE
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