Abstract
This chapter shows how the knowledge on the processes of surface exchange and atmospheric fate of different pollutants from agriculture or with an impact on agroecosystems is factored into mathematical simulation tools. It also considers the complexity of the interactions involved, the quantities of matter exchanged between agroecosystems and the atmosphere, and the measurement methods used to quantify them. The resulting models, which range from highly local (plant, leaf …) to global scales, ultimately enable to assess the impacts of changes in agricultural practices or climate change on pollutant exchanges between the atmosphere and agroecosystems. We describe different modelling approaches at the process, field, landscape and regional scales with different integrative levels. Model results are useful to understand how different processes interact and to predict how different environmental conditions, future climate or agricultural practices affect air quality. Models can also help identify levers for emission mitigation and estimate their efficiency.
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References
Ashworth K, Chung SH, Griffin RJ et al (2015) FORest Canopy Atmosphere Transfer (FORCAsT) 1.0: a 1-D model of biosphere-atmosphere chemical exchange. Geosci Model Dev 8:3765–3784
Asman WAH, Sutton MS, Schjoerring JK (1998) Ammonia: emission, atmospheric transport, and deposition. New Phytol 139:27–48
Azouz N (2017) Modélisation des flux d’ammoniac aux échelles locale et régionale dans des paysages hétérogènes: application à l’évaluation des dépassements des charges critiques. Thèse de l’université Pierre et Marie Curie, Paris VI
Backes AM, Aulinger A, Bieser J et al (2016) Ammonia emissions in Europe part II: How ammonia emission abatement strategies affect secondary aerosols. Atmos Environ 126:153–161
Bash JO, Cooter EJ, Dennis RL et al (2013) Evaluation of a regional air-quality model with bidirectional NH3: exchange coupled to an agroecosystem model. Biogeosciences 10:1635–1645
Bealey WJ, Loubet B, Braban CF et al (2014) Modelling agro-forestry scenarios for ammonia abatement in the landscape. Environ Res Lett 9:125001
Beaujouan V, Durand P, Ruiz L et al (2002) A hydrological model dedicated to topography-based simulation of nitrogen transfer and transformation: rationale and application to the geomorphology-denitrification relationship. Hydrol Process 16:493–507
Bedos C, Génermont S, Le Cadre E et al (2009) Modelling pesticide volatilization after soil application using the mechanistic model Volt’Air. Atmos Environ 43:3630–3639
Berntsen J, Petersen B, Jacobsen B et al (2003) Evaluating nitrogen taxation scenarios using the dynamic whole farm simulation model FASSET. Agric Syst 76:817–839
Bessagnet B, Beauchamp M, Guerreiro C et al (2014) Can further mitigation of ammonia emissions reduce exceedances of particulate matter air quality standards? Environ Sci Pol 44:149–163
Beuning JD, Pattey E, Edwards G et al (2008) Improved temporal resolution in process-based modelling of agricultural soil ammonia emissions. Atmos Environ 42(14):3253–3265
Bousquet P, Ciais P, Miller JB et al (2006) Contribution of anthropogenic and natural sources to atmospheric methane variability. Nature 443:439–443
Bouvet T, Wilson JD (2006) An approximate analytical solution for the deposition of heavy particles released from an elevated line source. Bound-Layer Meteorol 119:1–18
Boy M, Sogachev A, Lauros J et al (2011) SOSA. A new model to simulate the concentrations of organic vapours and sulphuric acid inside the ABL. Part 1: Model description and initial evaluation. Atmos Chem Phys 11:43–51
Brilli L, Bechini L, Bindi M et al (2017) Review and analysis of strengths and weaknesses of agro-ecosystem models for simulating C and N fluxes. Sci Total Environ 598:445–470
Brisson N, Gary C, Justes E et al (2003) An overview of the crop model stics. Eur J Agron 18:309–332
Buis S, Piacentini A, Déclat D, the PALM Group (2006) PALM: a computational framework for assembling high-performance computing applications. Concurr Comp-Pract E 18:231–245
Burkhardt J, Flechard C, Gresens F et al (2009) Modeling the dynamic chemical interactions of atmospheric ammonia and other trace gases with measured leaf surface wetness in a managed grassland canopy. Biogeosciences 6:67–83
Carter WPL (2010) Development of the SAPRC-07 chemical mechanism. Atmos Environ 44:5324–5335
Charbonnier E, Ronceux A, Carpentier A-S et al (2015) Pesticides. Des impacts aux changements de pratiques. Bilan de quinze années de recherche pour éclairer la décision publique. Éditions Quæ, Versailles, 400 p
Couvidat F, Sartelet K (2015) The Secondary Organic Aerosol Processor (SOAP v1.0) model: a unified model with different ranges of complexity based on the molecular surrogate approach. Geosci Model Dev 8:1111–1138
Delon C, Serça D, Boissard C et al (2007) Soil NO emissions modelling using artificial neural network. Tellus B 59:502–513
Drouet J-L, Duretz S, Durand P et al (2012) Modelling the contribution of short-range atmospheric and hydrological transfers to nitrogen fluxes budgets and indirect emissions in rural landscapes. Biogeosciences 9:1647–1660
Dungait JAJ, Hopkins DW, Gregory AS et al (2012) Soil organic matter turnover is governed by accessibility not recalcitrance. Glob Chang Biol 18:1781–1796
Dupont S, Brunet Y, Jarosz N (2006) Eulerian modelling of pollen dispersal over heterogeneous vegetation canopies. Agric Forest Meteorol 141:82–104
Duretz S, Drouet JL, Durand P et al (2011) NitroScape: a model to integrate nitrogen transfers and transformations in rural landscapes. Environ Pollut 159:3162–3170
Emberson LD, Ashmore MR, Cambridge HM et al (2000) Modelling stomatal ozone flux across Europe. Environ Pollut 109:403–413
Emberson LD, Pleijel H, Ainsworth EA et al (2018) Ozone effects on crops and consideration in crop models. Eur J Agron 100:19–34
Ewert F, Porter JR (2000) Ozone effects on wheat in relation to CO2: modelling short-term and long-term responses of leaf photosynthesis and leaf duration. Glob Chang Biol 6:735–750
Flechard CR, Fowler D, Sutton MA et al (1999) A dynamic chemical model of bi-directional ammonia exchange between semi-natural vegetation and the atmosphere. Q J Roy Meteor Soc 125:2611–2641
Flechard CR, Nemitz E, Smith RI et al (2011) Dry deposition of reactive nitrogen to European ecosystems: a comparison of inferential models across the NitroEurope network. Atmos Chem Phys 11:2703–2728
Flechard CR, Massad R-S, Loubet B et al (2013) Advances in understanding models and parameterizations of biosphere-atmosphere ammonia exchange. In: Raia-Silva M, Loubet B (eds) Review and integration of biosphere-atmosphere modelling of reactive trace gases and volatile aerosols. Springer Netherlands, Dordrecht, pp 11–84
Flesch TK, Wilson JD, Harper LA (2005) Deducing ground-to-air emissions from observed trace gas concentrations: a field trial with wind disturbance. J Appl Meteorol 44:475–484
Flesch TK, Wilson JD, Harper LA et al (2007) Determining ammonia emissions from a cattle feedlot with an inverse dispersion technique. Agric For Meteorol 144:139–155
Forkel R, Knoche R (2006) Regional climate change and its impact on photooxidant concentrations in southern Germany: simulations with a coupled regional climate-chemistry model. J Geophys Res 111:D12302
Fortems-Cheiney A, Dufour G, Hamaoui-Laguel L et al (2016) Unaccounted variability in NH3 agricultural sources detected by IASI contributing to European spring haze episode: agricultural NH3 Detected by IASI. Geophys Res Lett 43:5475–5482
Fowler D, Pilegaard K, Sutton MA et al (2009) Atmospheric composition change: ecosystems-atmosphere interactions. Atmos Environ 43(33):5193–5267
Gabrielle B, Laville P, Duval O et al (2006) Process-based modeling of nitrous oxide emissions from wheat-cropped soils at the subregional scale. Glob Biogeochem Cycles 20:GB4018
Ganzeveld LN, Lelieveld J, Dentener FJ et al (2002) Global soil-biogenic NOx emissions and the role of canopy processes. J Geophys Res 107(DI16):4298
Garcia L, Bedos C, Génermont S et al (2011) Assessing the ability of mechanistic volatilization models to simulate soil surface conditions: a study with the Volt’Air model. Sci Total Environ 409:3980–3992
Garcia L, Génermont S, Bedos C et al (2012) Accounting for surface cattle slurry in ammonia volatilization models: the case of Volt’Air. Soil Sci Soc Am J 76:2184–2194
Garcia L, Bedos C, Génermont S et al (2014) Modeling pesticide volatilization: testing the additional effect of gaseous adsorption on soil solid surfaces. Environ Sci Technol 48:4991–4998
Génermont S, Cellier P (1997) A mechanistic model for estimating ammonia volatilization from slurry applied to bare soil. Agric For Meteorol 88:145–167
Genty A, Pot V (2013) Numerical simulation of 3D liquid–gas distribution in porous media by a two-phase TRT Lattice Boltzmann method. Transp Porous Media 96:271–294
Goss K-U, Buschmann J, Schwarzenbach RP (2004) Adsorption of organic vapors to air-dry soils: model predictions and experimental validation. Environ Sci Technol 38:3667–3673
Grote R, Mayrhofer S, Fischbach RJ et al (2006) Process-based modelling of isoprenoid emissions from evergreen leaves of Quercus ilex (L.). Atmos Environ 40:152–165
Grote R, Morfopoulos C, Niinemets Ü et al (2014) A fully integrated isoprenoid emissions model coupling emissions to photosynthetic characteristics: a fully integrated isoprenoid emissions model. Plant Cell Environ 37:1965–1980
Grünhage L, Haenel H-D (1997) PLATIN (Plant-ATmosphere INteraction) I: a model of plant-atmosphere interaction for estimating absorbed doses of gaseous air pollutants. Environ Pollut 98:37–50
Guenther AB, Jiang X, Heald CL et al (2012) The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions. Geosci Model Dev 5:1471–1492
Gut A, Scheibe M, Rottenberger S et al (2002) Exchange fluxes of NO2 and O3 at soil and leaf surfaces in an Amazonian rain forest. J Geophys Res 107(D20):8060
Hafner SD, Pacholski A, Bittman S et al (2019) A flexible semi-empirical model for estimating ammonia volatilization from field-applied slurry. Atmos Environ 199:474–484
Hamaoui-Laguel L, Meleux F, Beekmann M et al (2014) Improving ammonia emissions in air quality modelling for France. Atmos Environ 92:584–595
Hauglustaine DA, Hourdin F, Jourdain L et al (2004) Interactive chemistry in the Laboratoire de météorologie dynamique general circulation model: description and background tropospheric chemistry evaluation. J Geophys Res 109:DO4314
Hénault C, Bizouard F, Laville P et al (2005) Predicting in situ soil N2O emission using NOE algorithm and soil database. Glob Chang Biol 1:115–127
Hutchings N, Webb J, Amon B (2009) EMEP/EEA emission inventory guidebook: Crop production and agricultural soils Animal. Technical report No 9/2009
Itier B, Perrier A (1976) Présentation d’une étude analytique de l’advection. I. Advection liée aux variations horizontales de concentration et de température, vol 27. Ann Agron, pp 111–140
Jarvis N (2016) Extended sorption partitioning models for pesticide leaching risk assessments: can we improve upon the koc concept? Sci Total Environ 539:294–303
Jenkin ME, Saunders SM, Wagner V et al (2003) Protocol for the development of the Master Chemical Mechanism MCM v3 (Part B): tropospheric degradation of aromatic volatile organic compounds. Atmos Chem Phys 3:181–193
Jöckel P, Tost H, Pozzer A et al (2006) The atmospheric chemistry general circulation model ECHAM5/MESSy1: consistent simulation of ozone from the surface to the mesosphere. Atmos Chem Phys 6:5067–5104
Jones MR, Leith ID, Raven JA et al (2007) Concentration-dependent NH3 deposition processes for moorland plant species with and without stomata. Atmos Environ 41:8980–8994
Jury WA, Spencer WF, Farmer WJ (1983) Behavior assessment model for trace organics in soil: I. Model Description1. J Environ Qual 12:558–564
Krinner G, Viovy N, De Noblet-Ducoudré N et al (2005) A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system. Glob Biogeochem Cycles 19:GB1015
Kuenen JH, Denier van der Gon A, Visschedijk H et al (2011) High resolution European emission inventory for the years 2003-2007. TNO report TNO-060-UT-2011-00588, Utrecht
Kuenen JJP, Visschedijk AJH, Jozwicka M, Denier van der Gon HAC (2014) TNO-MACC_II emission inventory; a multi-year (2003-2009) consistent high-resolution European emission inventory for air quality modelling. Atmos Chem Phys 14:10963–10976
Lafore JP, Stein J, Asencio N et al (1997) The Meso-NH atmospheric simulation system. Part I: adiabatic formulation and control simulations. Ann Geophys 16(1):90–109
Le Cadre E (2004) Modélisation de la volatilisation d’ammoniac en interaction avec les processus chimiques et biologiques du sol. Le modèle Volt’Air. Thèse de doctorat de l’Institut national agronomique Paris-Grignon, Sciences du sol et du bioclimat, Inra EGC Grignon, 211 p
Leelőssy Á, Molnár F, Izsák F et al (2014) Dispersion modeling of air pollutants in the atmosphere: a review. Open Geosci 6
Leistra M (2005) Estimating input data for computations on the volatilisation of pesticides from plant canopies and competing processes. Alterra-rapport, Wageningen, 79 p
Leistra M, Wolters A (2004) Computations on the volatilisation of the fungicide fenpropimorph from plants in a wind tunnel. Water Air Soil Pollut 157:133–148
Lelieveld J, Evans JS, Fnais M et al (2015) The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature 525:367–371
Leriche M, Pinty J-P, Mari C et al (2013) A cloud chemistry module for the 3-D cloud-resolving mesoscale model Meso-NH with application to idealized cases. Geosci Model Dev 6:1275–1298
Li CS (2000) Modeling trace gas emissions from agricultural ecosystems. Nutr Cycl Agroecosyst 58:259–276
Lichiheb N, Personne E, Bedos C et al (2016) Implementation of the effects of physicochemical properties on the foliar penetration of pesticides and its potential for estimating pesticide volatilization from plants. Sci Total Environ 550:1022–1031
Loubet B, Cellier P (2001) Experimental assessment of atmospheric ammonia dispersion and short range dry deposition in a maize canopy. Water Air Soil Poll Focus 1(5):157–166
Loubet B, Milford C, Sutton MA et al (2001) Investigation of the interaction between sources and sinks of atmospheric ammonia in an upland landscape using a simplified dispersion-exchange model. J Geophys Res 106(24):183–195
Loubet B, Jarosz N, Saint-Jean S, Huber L (2007) A method for measuring the settling velocity distribution of large biotic particles. Aerobiologia 23(3):159–169
Loubet B, Asman WAH, Theobald MR et al (2009) Ammonia deposition near hot spots: processes models and monitoring methods. In: Sutton MA, Reis S, Baker SMH (eds) Atmospheric ammonia. Springer, Dordrecht, pp 205–267
Loubet B, Carozzi M, Voylokov P et al (2018) Evaluation of a new inference method for estimating ammonia volatilisation from multiple agronomic plots. Biogeosciences 15:3439–3460
Mailler S, Menut L, Khvorostyanov D et al (2017) CHIMERE-2017: from urban to hemispheric chemistry-transport modeling. Geosci Model Dev 10:2397–2423
Mallet V, Quélo D, Sportisse B et al (2007) Technical note: the air quality modeling system Polyphemus. Atmos Chem Phys 7:5479–5487
Manders AMM, Builtjes PJH, Curier L et al (2017) Curriculum vitae of the LOTOS-EUROS (v2.0) chemistry transport model. Geosci Model Dev 10:4145–4173
Massad R-S, Nemitz E, Sutton MA (2010a) Review and parameterisation of bi-directional ammonia exchange between vegetation and the atmosphere. Atmos Chem Phys 10:10359–10386
Massad R-S, Tuzet A, Loubet B et al (2010b) Model of stomatal ammonia compensation point (STAMP) in relation to the plant nitrogen and carbon metabolisms and environmental conditions. Ecol Model 22(1):479–494
Masson V, Le Moigne P, Martin E et al (2013) The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes. Geosci Model Dev 6:929–960
Menut L, Bessagnet B, Khvorostyanov D et al (2013) CHIMERE 2013: a model for regional atmospheric composition modelling. Geosci Model Dev 6:981–1028
Menzi H, Katz PE, Fahrni M et al (1998) A simple empirical model based on regression analysis to estimate ammonia emissions after manure application. Atmos Environ 32(3):301–307
Misselbrook TH, Scholefield D, Sutton MA (2004) A simple process based model for estimating ammonia emissions from agricultural land after fertilizer applications. Soil Use Manag 20:365–372
Moeng C-H, (1984). A large-eddy-simulation model for the study of planetary boundary-layer turbulence. J Atmos Sci 41:2052–2062.
Monga O, Bousso M, Garnier P et al (2008) 3D geometric structures and biological activity: application to microbial soil organic matter decomposition in pore space. Ecol Model 216:291–302
Monga O, Garnier P, Pot V et al (2014) Simulating microbial degradation of organic matter in a simple porous system using the 3-D diffusion-based model MOSAIC. Biogeosciences 11:2201–2209
Montes F, Rotz CA, Chaoui H (2009) Process modelling of ammonia volatilization from ammonium solution and manure surfaces: a review with recommended models. Trans ASABE 52:1707–1719
Móring A, Vieno M, Doherty RM et al (2016) A process-based model for ammonia emission from urine patches GAG (Generation of Ammonia from Grazing): description and sensitivity analysis. Biogeosciences 13:1837–1861
Neirynck J, Ceulemans R (2008) Bidirectional ammonia exchange above a mixed coniferous forest. Environ Pollut 154:424–438
Nemitz E, Sutton MA, Schjoerring JK et al (2000) Resistance modelling of ammonia exchange over oilseed rape. Agric For Meteorol 105:405–425
Nemitz E, Milford C, Sutton MA (2001) A two-layer canopy compensation point model for describing bi-directional biosphere-atmosphere exchange of ammonia. Quart J Royal Met Soc 127:815–833
Nenes A, Pandis SN, Pilinis C (1998) ISORROPIA: a new thermodynamic equilibrium model for multiphase multicomponent inorganic aerosols. Aquat Geochem 4:123–152
Nho-Kim E-Y, Michou M, Peuch VH (2002) Parameterization of size dependent particle dry deposition velocities in a global chemistry and transport model. Presented at the EGS XXVII General Assembly, Nice, p. abstract no 2502
Niinemets Ü, Loreto F, Reichstein M (2004) Physiological and physicochemical controls on foliar volatile organic compound emissions. Trends Plant Sci 9:180–186
Palmer PI, Abbot DS, Fu T-M et al (2006) Quantifying the seasonal and interannual variability of North American isoprene emissions using satellite observations of the formaldehyde column. J Geophys Res 111
Parton WJ, Hartman M, Ojima D et al (1998) DAYCENT and its land surface submodel: description and testing. Glob Planet Chang 19:35–48
Paulot F, Jacob DJ, Pinder RW et al (2014) Ammonia emissions in the United States European Union and China derived by high-resolution inversion of ammonium wet deposition data: Interpretation with a new agricultural emissions inventory (MASAGE_NH3). J Geophys Res Atmos 119:4343–4364
Personne E, Loubet B, Herrmann B et al (2009) SURFATM-NH3: a model combining the surface energy balance and bi-directional exchanges of ammonia applied at the field scale. Biogeosciences 6:1371–1388
Petetin H, Sciare J, Bressi M et al (2016) Assessing the ammonium nitrate formation regime in the Paris megacity and its representation in the CHIMERE model. Atmos Chem Phys 16:10419–10440
Pot V, Peth S, Monga O et al (2015) Three-dimensional distribution of water and air in soil pores: comparison of two-phase two-relaxation-times lattice-Boltzmann and morphological model outputs with synchrotron X-ray computed tomography data. Adv Water Resour 84:87–102
Potier E, Ogée J, Jouanguy J et al (2015) Multilayer modelling of ozone fluxes on winter wheat reveals large deposition on wet senescing leaves. Agric For Meteorol 211-212):58–71
Pozzer A, Tsimpidi AP, Karydis VA et al (2017) Impact of agricultural emission reductions on fine-particulate matter and public health. Atmos Chem Phys 17:12813–12826
Quinn A, Wilson M, Reynolds A et al (2001) Modelling the dispersion of aerial pollutants from agricultural buildings. An evaluation of computational fluid dynamics (CFD). Comput Electron Agric 30:219–235
Raivonen M, Vesala T, Pirjola L et al (2009) Compensation point of NOx exchange: net result of NOx consumption and production. Agric For Meteorol 149:1073–1081
Reynolds WC, Kassinos SC (1995) One-point modelling of rapidly deformed homogeneous turbulence. Proc Math Phys Sci 451:87–104
Riedo M, Grub A, Rosset M, Fuhrer J (1998) A pasture simulation model for dry matter production and fluxes of carbon nitrogen water and energy. Ecol Model 105:141–183
Riedo M, Milford C, Schmid M et al (2002) Coupling soil-plant-atmosphere exchange of ammonia with ecosystem functioning in grasslands. Ecol Model 158:83–110
Rodean HC (1996) Stochastic Lagrangian models of turbulent diffusion. American Meteorological Society, Boston
Rolland M-N, Gabrielle B, Laville P et al (2010) High-resolution inventory of NO emissions from agricultural soils over the Île-de-France region. Environ Pollut 158:711–722
Satchivi NM, Stoller EW, Wax LM et al (2001) A nonlinear dynamic simulation model for xenobiotic transport and whole plant allocation following foliar application. III. Influence of chemical properties plant characteristics and environmental parameters on xenobiotic absorption and translocation. Pestic Biochem Physiol 71:77–87
Scholtz MT, Voldner E, McMillan et al (2002) A pesticide emission model (PEM). Part I: model development. Atmos Environ 36:5005–5013
Seinfeld JH, Pandis SN (2016) Atmospheric chemistry and physics: from air pollution to climate change, 3rd edn. Wiley, Hoboken
Seinfeld J.H., Pandis S.N., Noone K.,(1998). Atmospheric chemistry and physics: from air pollution to climate change. Physics Today 51:88.
Shephard MW, Worden HM, Cady-Pereira et al (2008) Tropospheric Emission Spectrometer nadir spectral radiance comparisons. J Geophys Res 113:D15S05
Simpson D, Tuovinen J-P (2014) ECLAIRE Ecosystem Surface Exchange model (ESX). In: Transboundary particulate matter photo-oxidants acidifying and eutrophying components. EMEP Status Report 1/2014, Norwegian Meteorological Institute
Simpson D, Benedictow A, Berge H et al (2012) The EMEP MSC-W chemical transport model technical description. Atmos Chem Phys 12:7825–7865
Søgaard H, Sommer S, Hutchings N et al (2002) Ammonia volatilization from field-applied animal slurry: the ALFAM model. Atmos Environ 36:3309–3319
Sommer SG, Génermont S, Cellier P et al (2003) Processes controlling ammonia emission from livestock slurry in the field. Eur J Agron 19:465–486
Stella P, Loubet B, Lamaud E et al (2011a) Ozone deposition onto bare soil: a new parameterisation. Agric For Meteorol 151(6):669–681
Stella P, Personne E, Loubet B et al (2011b) Predicting and partitioning ozone fluxes to maize crops from sowing to harvest: the Surfatm-O-3 model. Biogeosciences 8:2869–2886
Stull RB (1988) An introduction to boundary layer meteorology. Kluwer Academic Publishers, Dordrecht
Sutton MA, Burkhardt JK, Guerin D et al (1995) Measurement and modelling of ammonia exchange over arable croplands. Stud Environ Sci, Acid Rain Research: Do We Have Enough Answers? 64:71–80
Sutton MA, Burkhardt JK, Guerin D et al (1998) Development of resistance models to describe measurements of bi-directional ammonia surface-atmosphere exchange. Atmos Environ 32:473–480
Tao F, Feng Z, Tang H et al (2017) Effects of climate change CO2 and O3 on wheat productivity in Eastern China singly and in combination. Atmos Environ 153:182–193
Theobald MR, Crittenden PD, Tang YS et al (2013) The application of inverse-dispersion and gradient methods to estimate ammonia emissions from a penguin colony. Atmos Environ 81:320–329
Tiktak A, Nie DD, Van Der Linden T, Kruijne R (2002) Modelling the leaching and drainage of pesticides in the Netherlands: the GeoPEARL model. Agronomie 22:373–387
Tørseth K, Aas W, Breivik K et al (2012) Introduction to the European Monitoring and Evaluation Programme (EMEP) and observed atmospheric composition change during 1972–2009. Atmos Chem Phys 12:5447–5481
Trapp S, Matthies M (1997) Modeling volatilization of PCDD/F from soil and uptake into vegetation. Environ Sci Technol 31:71–74
Trapp S, Matthies M, McFarlane C (1994) Model for uptake of xenobiotics into plants: validation with bromacil experiments. Environ Toxicol Chem 13:413–422
Tuzet A, Perrier A, Loubet B et al (2011) Modelling ozone deposition fluxes: the relative roles of deposition and detoxification processes. Agric For Meteorol 151:480–492
Van Damme M, Whitburn S, Clarisse L et al (2017) Version 2 of the IASI \chemNH_3 neural network retrieval algorithm: near-real-time and reanalysed datasets. Atmos Meas Tech 10:4905–4914
Van den Berg F, van den Tiktak A, Boesten JJTI et al (2016) PEARL model for pesticide behaviour and emissions in soil-plant systems. Rapport Statutory Research Tasks Unit for Nature and the Environment, Wageningen
van der Molen J, Beljaars ACM, Chardon WJ et al (1990) Ammonia volatilization from arable land after application of cattle slurry. 2. Derivation of a transfer model. Neth J Agric Sci 38:239–254
van Jaarsveld JA, de Leeuw FAAM (1993) OPS: an operational atmospheric transport model for priority substances. Environ Softw 8:91–100
Veldkamp E, Keller M (1997) Fertilizer-induced nitric oxide emissions from agricultural soils. Nutr Cycl Agroecosyst 48:69–77
Wichink Kruit RJ, van Pul WAJ, Sauter FJ et al (2010) Modeling the surface-atmosphere exchange of ammonia. Atmos Environ 44(7):945–957
Wichink Kruit RJ, Schaap M, Sauter FJ et al (2012) Modeling the distribution of ammonia across Europe including bi-directional surface-atmosphere exchange. Biogeosciences 9:5261–5277
Williams EJ, Guenther A, Fehsenfeldi FC (1992) An inventory of nitric oxide emissions from soils in the United States. J Geophys Res Atmos 97:7511–7519
Wilson JD, Sawford BL (1996) Review of Lagrangian stochastic models for trajectories in the turbulent atmosphere. Bound-Layer Meteorol 78:191–210
Wolfe G, Thornton J (2011) The Chemistry of Atmosphere-Forest Exchange (CAFE) Model. Part 1: Model description and characterization. Atmos Chem Phys 11:77–101
Wu Y (2003) A multilayer biochemical dry deposition model. 1. Model formulation. J Geophys Res 108
Wu YH, Walker J, Schwede D et al (2009) A new model of bi-directional ammonia exchange between the atmosphere and biosphere: Ammonia stomatal compensation point. Agric For Meteorol 149:263–280
Yee E, Flesch TK (2010) Inference of emission rates from multiple sources using Bayesian probability theory. J Environ Monit 12:622–634
Yienger JJ, Levy H (1995) Empirical model of global soil-biogenic NOχ emissions. J Geophys Res Atmos 100:11447–11464
Zhu L, Henze DK, Cady-Pereira KE et al (2013) Constraining US ammonia emissions using TES remote sensing observations and the GEOS-Chem adjoint model: inverse modeling of NH 3 emissions. J Geophys Res Atmos 118:3355–3368
Zhu L, Henze DK, Bash JO et al (2015) Sources and impacts of atmospheric NH3: current understanding and frontiers for modeling measurements and remote sensing in North America. Curr Pollution Rep 1:95–116
Zimmer W, Bruggemann N, Emeis S et al (2000) Process-based modelling of isoprene emission by oak leaves. Plant Cell Environ 23:585–595
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Massad, R.S. et al. (2020). Modelling Exchanges: From the Process Scale to the Regional Scale. In: Bedos, C., Génermont, S., Castell, JF., Cellier, P. (eds) Agriculture and Air Quality. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-2058-6_7
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