Articles | Volume 22, issue 12
https://doi.org/10.5194/acp-22-8241-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-8241-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jun 2022
Research article |
| 27 Jun 2022
| 27 Jun 2022
Assessing the representativity of NH3 measurements influenced by boundary-layer dynamics and the turbulent dispersion of a nearby emission source
Department of Meteorology and Air Quality, Wageningen University & Research, P.O. Box 47, 6700 AA, Wageningen, the Netherlands
Margreet C. van Zanten
Department of Meteorology and Air Quality, Wageningen University & Research, P.O. Box 47, 6700 AA, Wageningen, the Netherlands
National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, the Netherlands
Bart J. H. van Stratum
Department of Meteorology and Air Quality, Wageningen University & Research, P.O. Box 47, 6700 AA, Wageningen, the Netherlands
Jordi Vilà-Guerau de Arellano
Department of Meteorology and Air Quality, Wageningen University & Research, P.O. Box 47, 6700 AA, Wageningen, the Netherlands
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This research brings a multi-scale temporal analysis of evaporation in a saline lake of the Atacama Desert. Our findings reveal that evaporation is controlled differently depending on the timescale. Evaporation is controlled sub-diurnally by wind speed, regulated seasonally by radiation and modulated interannually by ENSO. Our research extends our understanding of evaporation, contributing to improving the climate change assessment and efficiency of water management in arid regions.
Anja Ražnjević, Chiel van Heerwaarden, Bart van Stratum, Arjan Hensen, Ilona Velzeboer, Pim van den Bulk, and Maarten Krol
Atmos. Chem. Phys., 22, 6489–6505, https://doi.org/10.5194/acp-22-6489-2022, https://doi.org/10.5194/acp-22-6489-2022, 2022
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Mobile measurement techniques (e.g., instruments placed in cars) are often employed to identify and quantify individual sources of greenhouse gases. Due to road restrictions, those observations are often sparse (temporally and spatially). We performed high-resolution simulations of plume dispersion, with realistic weather conditions encountered in the field, to reproduce the measurement process of a methane plume emitted from an oil well and provide additional information about the plume.
Carlos Román-Cascón, Marie Lothon, Fabienne Lohou, Oscar Hartogensis, Jordi Vila-Guerau de Arellano, David Pino, Carlos Yagüe, and Eric R. Pardyjak
Geosci. Model Dev., 14, 3939–3967, https://doi.org/10.5194/gmd-14-3939-2021, https://doi.org/10.5194/gmd-14-3939-2021, 2021
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The type of vegetation (or land cover) and its status influence the heat and water transfers between the surface and the air, affecting the processes that develop in the atmosphere at different (but connected) spatiotemporal scales. In this work, we investigate how these transfers are affected by the way the surface is represented in a widely used weather model. The results encourage including realistic high-resolution and updated land cover databases in models to improve their predictions.
Felipe Lobos-Roco, Oscar Hartogensis, Jordi Vilà-Guerau de Arellano, Alberto de la Fuente, Ricardo Muñoz, José Rutllant, and Francisco Suárez
Atmos. Chem. Phys., 21, 9125–9150, https://doi.org/10.5194/acp-21-9125-2021, https://doi.org/10.5194/acp-21-9125-2021, 2021
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We investigate the influence of regional atmospheric circulation on the evaporation of a saline lake in the Altiplano region of the Atacama Desert through a field experiment and regional modeling. Our results show that evaporation is controlled by two regimes: (1) in the morning by local conditions with low evaporation rates and low wind speed and (2) in the afternoon with high evaporation rates and high wind speed. Afternoon winds are connected to the regional Pacific Ocean–Andes flow.
Jordi Vilà-Guerau de Arellano, Patrizia Ney, Oscar Hartogensis, Hugo de Boer, Kevin van Diepen, Dzhaner Emin, Geiske de Groot, Anne Klosterhalfen, Matthias Langensiepen, Maria Matveeva, Gabriela Miranda-García, Arnold F. Moene, Uwe Rascher, Thomas Röckmann, Getachew Adnew, Nicolas Brüggemann, Youri Rothfuss, and Alexander Graf
Biogeosciences, 17, 4375–4404, https://doi.org/10.5194/bg-17-4375-2020, https://doi.org/10.5194/bg-17-4375-2020, 2020
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The CloudRoots field experiment has obtained an open comprehensive observational data set that includes soil, plant, and atmospheric variables to investigate the interactions between a heterogeneous land surface and its overlying atmospheric boundary layer, including the rapid perturbations of clouds in evapotranspiration. Our findings demonstrate that in order to understand and represent diurnal variability, we need to measure and model processes from the leaf to the landscape scales.
Cited articles
Aan de Brugh, J. M. J., Henzing, J. S., Schaap, M., Morgan, W. T., van Heerwaarden, C. C., Weijers, E. P., Coe, H., and Krol, M. C.: Modelling the partitioning of ammonium nitrate in the convective boundary layer, Atmos. Chem. Phys., 12, 3005–3023, https://doi.org/10.5194/acp-12-3005-2012, 2012. a
Anys, M., Ullrich, B., Gager, M., and Pinterits, M.: European Union emission inventory report 1990–2018: under the UNECE Convention on Long-range Transboundary Air Pollution, Tech. Rep. TH-AL-20-013-EN-N, European Environment Agency, Kongens Nytorv 6, 1050 Copenhagen K, Denmark, https://www.eea.europa.eu/ds_resolveuid/c48fe5a189e5484095dcb509da927a36 (last access: 23 June 2022), 2020. a
Arabas, S., Axelsen, S., Attema, J., Beets, C., Boeing, S. J., Cuijpers, H., de Bruine, M., Chylik, J., van der Dussen, J., van Heerwaarden, C., Heus, T., Jansson, F., Jonker, H., Moene, A., Ouwersloot, H., van den Oord, G., de Roode, S., Neggers, R., Pedruzo, X., Siebesma, P., Sikma, M., van Stratum, B. J. H., Vilà-Guerau de Arellano, J., and van Zanten, M. C.: dalesteam/dales: DALES 4.2.1, Zenodo [code], https://doi.org/10.5281/zenodo.3759193, 2020. a, b
Ardeshiri, H., Cassiani, M., Park, S. Y., Stohl, A., Pisso, I., and Dinger, A. S.: On the Convergence and Capability of the Large-Eddy Simulation of Concentration Fluctuations in Passive Plumes for a Neutral Boundary Layer at Infinite Reynolds Number, Bound.-Lay. Meteorol., 176, 291–327,
https://doi.org/10.1007/s10546-020-00537-6, 2021. a
Barad, M. L.: Project Prairie Grass, a field program in diffusion, vol. 1, Tech. Rep. No. 59, vol. I, Report AFCRC-TR-58-235(I), Air Force Cambridge Research Labs, https://www.harmo.org/jsirwin/PGrassVolumeI.pdf (last access: 23 June 2022), 1958. a
Barbaro, E., Vilà-Guerau de Arellano, J., Ouwersloot, H. G., Schröter, J. S., Donovan, D. P., and Krol, M. C.: Aerosols in the convective boundary layer: Shortwave radiation effects on the coupled land-atmosphere system, J. Geophys. Res.-Atmos., 119, 5845–5863, https://doi.org/10.1002/2013JD021237, 2014. a, b, c, d, e, f
Barbaro, E., Krol, M., and Vilà-Guerau de Arellano, J.: Numerical simulation of the interaction between ammonium nitrate aerosol and convective
boundary-layer dynamics, Atmos. Environ., 105, 202–211,
https://doi.org/10.1016/j.atmosenv.2015.01.048, 2015. a
Behera, S. N., Sharma, M., Aneja, V. P., and Balasubramanian, R.: Ammonia in the atmosphere: a review on emission sources, atmospheric chemistry and deposition on terrestrial bodies, Environ. Sci. Pollut. R., 20, 8092–8131, https://doi.org/10.1007/s11356-013-2051-9, 2013. a, b
Berkhout, A. J. C., Swart, D. P. J., Volten, H., Gast, L. F. L., Haaima, M., Verboom, H., Stefess, G., Hafkenscheid, T., and Hoogerbrugge, R.: Replacing the AMOR with the miniDOAS in the ammonia monitoring network in the Netherlands, Atmos. Meas. Tech., 10, 4099–4120, https://doi.org/10.5194/amt-10-4099-2017, 2017. a
Boermans, G. M. F. and Erisman, J. W.: Meetstrategieontwikkeling voor het representativiteitsonderzoek als onderdeel van het additioneel meetprogramma ammoniak: fenomenologie van NH3 en meetritsimulaties, Tech. Rep. 222105001, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721, MA Bilthoven, the Netherlands,
http://hdl.handle.net/10029/255566 (last access: 23 June 2022), 1990. a
Cassiani, M., Bertagni, M., Marro, M., and Salizzoni, P.: Concentration
Fluctuations from Localized Atmospheric Releases, Bound.-Lay. Meteorol.,
177, 461–510, https://doi.org/10.1007/s10546-020-00547-4, 2020. a, b
Dosio, A. and Vilà-Guerau de Arellano, J.: Statistics of Absolute and Relative Dispersion in the Atmospheric Convective Boundary Layer: A Large-Eddy Simulation Study, J. Atmos. Sci., 63, 1253–1272, https://doi.org/10.1175/JAS3689.1, 2006. a, b, c, d
Dosio, A., Vilà-Guerau de Arellano, J., Holtslag, A. A. M., and Builtjes, P. J. H.: Dispersion of a Passive Tracer in Buoyancy- and Shear-Driven Boundary Layers, J. Appl. Meteorol., 42, 1116–1130,
https://doi.org/10.1175/1520-0450(2003)042<1116:DOAPTI>2.0.CO;2, 2003. a, b, c, d
Erisman, J. and Schaap, M.: The need for ammonia abatement with respect to
secondary PM reductions in Europe, Environ. Pollut., 129, 159–163,
https://doi.org/10.1016/j.envpol.2003.08.042, 2004. a
Erisman, J. W., Galloway, J. N., Seitzinger, S., Bleeker, A., Dise, N. B., Petrescu, A. M. R., Leach, A. M., and de Vries, W.: Consequences of human modification of the global nitrogen cycle, Philos. T. Roy. Soc. B, 368, 20130116, https://doi.org/10.1098/rstb.2013.0116, 2013. a
Fountoukis, C. and Nenes, A.: ISORROPIA II: a computationally efficient thermodynamic equilibrium model for K+–Ca2+–Mg2+–
Fowler, D., Pitcairn, C. E. R., Sutton, M. A., Flechard, C., Loubet, B., Coyle, M., and Munro, R. C.: The mass budget of atmospheric ammonia in woodland within 1 km of livestock buildings, Environ. Pollut., 102, 343–348, https://doi.org/10.1016/S0269-7491(98)80053-5, 1998. a, b
Gailis, R. M., Hill, A., Yee, E., and Hilderman, T.: Extension of a fluctuating plume model of tracer dispersion to a sheared boundary layer and to a large array of obstacles, Bound.-Lay. Meteorol., 122, 577–607,
https://doi.org/10.1007/s10546-006-9118-9, 2007. a, b
Galmarini, S., Vilà-Guerau de Arellano, J., and Duynkerke, P.: The effect of micro-scale turbulence on the reaction rate in a chemically reactive plume, Atmos. Environ., 29, 87–95, https://doi.org/10.1016/1352-2310(94)00224-9, 1995. a, b
Heus, T., van Heerwaarden, C. C., Jonker, H. J. J., Pier Siebesma, A., Axelsen, S., van den Dries, K., Geoffroy, O., Moene, A. F., Pino, D., de Roode, S. R., and Vilà-Guerau de Arellano, J.: Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications, Geosci. Model Dev., 3, 415–444, https://doi.org/10.5194/gmd-3-415-2010, 2010. a, b, c
Kljun, N., Kormann, R., Rotach, M. W., and Meixer, F. X.: Comparison of the
lagrangian footprint model LPDM-B with an analytical footprint model,
Bound.-Lay. Meteorol., 106, 349–355, https://doi.org/10.1023/A:1021141223386,
2003. a
Kulmala, M., Asmi, A., Lappalainen, H. K., Baltensperger, U., Brenguier, J.-L., Facchini, M. C., Hansson, H.-C., Hov, Ø., O'Dowd, C. D., Pöschl, U., Wiedensohler, A., Boers, R., Boucher, O., de Leeuw, G., Denier van der Gon, H. A. C., Feichter, J., Krejci, R., Laj, P., Lihavainen, H., Lohmann, U., McFiggans, G., Mentel, T., Pilinis, C., Riipinen, I., Schulz, M., Stohl, A., Swietlicki, E., Vignati, E., Alves, C., Amann, M., Ammann, M., Arabas, S., Artaxo, P., Baars, H., Beddows, D. C. S., Bergström, R., Beukes, J. P., Bilde, M., Burkhart, J. F., Canonaco, F., Clegg, S. L., Coe, H., Crumeyrolle, S., D'Anna, B., Decesari, S., Gilardoni, S., Fischer, M., Fjaeraa, A. M., Fountoukis, C., George, C., Gomes, L., Halloran, P., Hamburger, T., Harrison, R. M., Herrmann, H., Hoffmann, T., Hoose, C., Hu, M., Hyvärinen, A., Hõrrak, U., Iinuma, Y., Iversen, T., Josipovic, M., Kanakidou, M., Kiendler-Scharr, A., Kirkevåg, A., Kiss, G., Klimont, Z., Kolmonen, P., Komppula, M., Kristjánsson, J.-E., Laakso, L., Laaksonen, A., Labonnote, L., Lanz, V. A., Lehtinen, K. E. J., Rizzo, L. V., Makkonen, R., Manninen, H. E., McMeeking, G., Merikanto, J., Minikin, A., Mirme, S., Morgan, W. T., Nemitz, E., O'Donnell, D., Panwar, T. S., Pawlowska, H., Petzold, A., Pienaar, J. J., Pio, C., Plass-Duelmer, C., Prévôt, A. S. H., Pryor, S., Reddington, C. L., Roberts, G., Rosenfeld, D., Schwarz, J., Seland, Ø., Sellegri, K., Shen, X. J., Shiraiwa, M., Siebert, H., Sierau, B., Simpson, D., Sun, J. Y., Topping, D., Tunved, P., Vaattovaara, P., Vakkari, V., Veefkind, J. P., Visschedijk, A., Vuollekoski, H., Vuolo, R., Wehner, B., Wildt, J., Woodward, S., Worsnop, D. R., van Zadelhoff, G.-J., Zardini, A. A., Zhang, K., van Zyl, P. G., Kerminen, V.-M., S Carslaw, K., and Pandis, S. N.: General overview: European Integrated project on Aerosol Cloud Climate and Air Quality interactions (EUCAARI) – integrating aerosol research from nano to global scales, Atmos. Chem. Phys., 11, 13061–13143, https://doi.org/10.5194/acp-11-13061-2011, 2011. a
Loubet, B., Cellier, P., Milford, C., and Sutton, M. A.: A coupled dispersion and exchange model for short-range dry deposition of atmospheric ammonia, Q. J. Roy. Meteor. Soc., 132, 1733–1763, https://doi.org/10.1256/qj.05.73, 2006. a
Meeder, J. and Nieuwstadt, F.: Large-eddy simulation of the turbulent dispersion of a reactive plume from a point source into a neutral atmospheric
boundary layer, Atmos. Environ., 34, 3563–3573,
https://doi.org/10.1016/S1352-2310(00)00124-2, 2000. a
Mensah, A. A., Holzinger, R., Otjes, R., Trimborn, A., Mentel, Th. F., ten Brink, H., Henzing, B., and Kiendler-Scharr, A.: Aerosol chemical composition at Cabauw, The Netherlands as observed in two intensive periods in May 2008 and March 2009, Atmos. Chem. Phys., 12, 4723–4742, https://doi.org/10.5194/acp-12-4723-2012, 2012. a
Nemitz, E., Sutton, M. A., Wyers, G. P., Otjes, R. P., Mennen, M. G., van Putten, E. M., and Gallagher, M. W.: Gas-particle interactions above a Dutch heathland: II. Concentrations and surface exchange fluxes of atmospheric particles, Atmos. Chem. Phys., 4, 1007–1024, https://doi.org/10.5194/acp-4-1007-2004, 2004. a, b
Nieuwstadt, F.: A large-eddy simulation of a line source in a convective atmospheric boundary layer – I. Dispersion characteristics, Atmos. Environ. A-Gen., 26, 485–495, https://doi.org/10.1016/0960-1686(92)90331-E, 1992. a
Ouwersloot, H. G., Vilà-Guerau de Arellano, J., van Heerwaarden, C. C., Ganzeveld, L. N., Krol, M. C., and Lelieveld, J.: On the segregation of chemical species in a clear boundary layer over heterogeneous land surfaces, Atmos. Chem. Phys., 11, 10681–10704, https://doi.org/10.5194/acp-11-10681-2011, 2011. a, b
Ouwersloot, H. G., Moene, A. F., Attema, J. J., and Vilà-Guerau de Arellano, J.: Large-Eddy Simulation Comparison of Neutral Flow Over a Canopy:
Sensitivities to Physical and Numerical Conditions, and Similarity to Other
Representations, Bound.-Lay. Meteorol., 162, 71–89,
https://doi.org/10.1007/s10546-016-0182-5, 2017. a
Pino, D., Jonker, H., Vilà-Guerau de Arellano, J., and Dosio, A.: Role of Shear and the Inversion Strength During Sunset Turbulence Over Land:
Characteristic Length Scales, Bound.-Lay. Meteorol., 121, 537–556,
https://doi.org/10.1007/s10546-006-9080-6, 2006. a
Rannik, Ü., Aubinet, M., Kurbanmuradov, O., Sabelfeld, K. K., Markkanen, T., and Vesala, T.: Footprint Analysis For Measurements Over A Heterogeneous
Forest, Bound.-Lay. Meteorol., 97, 137–166,
https://doi.org/10.1023/A:1002702810929, 2000. a
Ražnjević, A., van Heerwaarden, C., van Stratum, B., Hensen, A., Velzeboer, I., van den Bulk, P., and Krol, M.: Technical note: Interpretation of field observations of point-source methane plume using observation-driven large-eddy simulations, Atmos. Chem. Phys., 22, 6489–6505, https://doi.org/10.5194/acp-22-6489-2022, 2022. a, b, c, d
Remmelink, G., van Middelkoop, J., Ouweltjes, W., and Wemmenhove, H.: Handboek melkveehouderij 2020/21, over the year 2019/20, no. 44 in Handboek/Wageningen Livestock Research, Wageningen Livestock Research, https://doi.org/10.18174/529557, 2020. a
RIVM: Landbouw, Emissiefactoren diercategorieën, Hoofdcategorie A: Rundvee, RIVM, https://www.infomil.nl/onderwerpen/landbouw/emissiearme-stalsystemen/emissiefactoren-per/map-staltypen/hoofdcategorie/,
last access: 28 January 2021. a
Sauter, F., van Zanten, M., van der Swaluw, E., Aben, J., de Leeuw, F., and van Jaarsveld, H.: The OPS-model: Description of OPS 4.5.2, Tech. rep.,
National Institute for Public Health and the Environment (RIVM),
https://www.rivm.nl/media/ops/OPS-model.pdf (last access: 23 June 2022), 2018. a
Schaap, M., Timmermans, R. M. A., Roemer, M., Boersen, G. A. C., Builtjes, P. J. H., Sauter, F. J., Velders, G. J. M., and Beck, J. P.: The LOTOS–EUROS model: description, validation and latest developments, Int. J. Environ. Poll., 32, 270–290, https://doi.org/10.1504/IJEP.2008.017106, 2008. a
Schaug, J.: Quality assurance plane for EMEP, Tech. Rep. EMEP/CCC-Report 1/88, Norwegian Institute for Air Research,
https://projects.nilu.no/ccc/reports/cccr1-88.pdf (last access: 23 June 2022), 1988. a
Schulte, R., van Zanten, M., Rutledge-Jonker, S., Swart, D., Wichink
Kruit, R., Krol, M., van Pul, W., and Vilà-Guerau de Arellano, J.:
Unraveling the diurnal atmospheric ammonia budget of a prototypical
convective boundary layer, Atmos. Environ., 249, 118153,
https://doi.org/10.1016/j.atmosenv.2020.118153, 2021. a, b, c
Schulte, R., van Zanten, M., van Stratum, B., and Vilà-Guerau de Arellano, J.: DALES v4.2 modified for ammonia plume dispersion and blending-distance estimations, 4TU.ResearchData [code], https://doi.org/10.4121/19869478.v1, 2022. a, b, c
Shah, A., Pitt, J. R., Ricketts, H., Leen, J. B., Williams, P. I., Kabbabe, K., Gallagher, M. W., and Allen, G.: Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling, Atmos. Meas. Tech., 13, 1467–1484, https://doi.org/10.5194/amt-13-1467-2020, 2020. a, b
Shen, J., Chen, D., Bai, M., Sun, J., Coates, T., Lam, S. K., and Li, Y.: Ammonia deposition in the neighbourhood of an intensive cattle feedlot in Victoria, Australia, Sci. Rep., 6, 2045–2322, https://doi.org/10.1038/srep32793,
2016. a, b
Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., and Wind, P.: The EMEP MSC-W chemical transport model – technical description, Atmos. Chem. Phys., 12, 7825–7865, https://doi.org/10.5194/acp-12-7825-2012, 2012. a
Smit, L. A. M. and Heederik, D.: Impacts of Intensive Livestock Production on
Human Health in Densely Populated Regions, GeoHealth, 1, 272–277,
https://doi.org/10.1002/2017GH000103, 2017. a
Sommer, S., Øtergård, H., Løfstrøm, P., Andersen, H., and Jensen, L.: Validation of model calculation of ammonia deposition in the neighbourhood of a poultry farm using measured NH3 concentrations and N deposition, Atmos. Environ., 43, 915–920, https://doi.org/10.1016/j.atmosenv.2008.10.045, 2009. a, b
Stokstad, E.: Nitrogen crisis threatens Dutch environment- and economy,
Science, 366, 1180–1181, https://doi.org/10.1126/science.366.6470.1180, 2019. a
Stolk, A., Noordijk, H., and van Zanten, M.: Drogedepositiemetingen van ammoniak in Natura 2000-gebied Bargerveen, Tech. Rep. 680029001, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721, MA Bilthoven, the Netherlands, https://rivm.openrepository.com/handle/10029/320523 (last access: 23 June 2022), 2014. a
Sutton, M. A., Erisman, J. W., Dentener, F., and Möller, D.: Ammonia in the environment: From ancient times to the present, Environ. Pollut., 156,
583–604, https://doi.org/10.1016/j.envpol.2008.03.013, 2008. a
Theobald, M. R., Løfstrøm, P., Walker, J., Andersen, H. V., Pedersen, P., Vallejo, A., and Sutton, M. A.: An intercomparison of models used to simulate the short-range atmospheric dispersion of agricultural ammonia emissions, Environ. Model. Softw., 37, 90–102,
https://doi.org/10.1016/j.envsoft.2012.03.005, 2012. a, b
van Bruggen, C., Bannink, A., Groenestein, C., Huijsmans, J., Lagerwerf, L., Luesink, H., Ros, M., Velthof, G., Vonk, J., and van der Zee, T.: Emissies naar lucht uit de landbouw berekend met NEMA voor 1990–2019, no. 203 in WOt-technical report, Wettelijke Onderzoekstaken Natuur & Milieu,
https://doi.org/10.18174/544296, 2021. a
van der Peet, G., Leenstra, F., Vermeij, I., Bondt, N., Puister, L., and van Os, J.: Feiten en cijfers over de Nederlandse veehouderijsectoren 2018, no. 1134 in Wageningen Livestock Research rapport, Wageningen Livestock Research, https://doi.org/10.18174/464128, 2018. a
van der Swaluw, E., de Vries, W., Sauter, F., Aben, J., Velders, G., and van Pul, A.: High-resolution modelling of air pollution and deposition over the Netherlands with plume, grid and hybrid modelling, Atmos. Environ., 155, 140–153, https://doi.org/10.1016/j.atmosenv.2017.02.009, 2017. a
van Jaarsveld, J.: The Operational Priority Substances model: Description and validation of OPS-Pro 4.1, Tech. Rep. 500045001, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721, MA Bilthoven, the Netherlands, https://www.rivm.nl/publicaties/operational-priority-substances-model (last access: 23 June 2022), 2004. a
Van Oss, R., Duyzer, J., and Wyers, P.: The influence of gas-to-particle
conversion on measurements of ammonia exchange over forest, Atmos.
Environ., 32, 465–471, https://doi.org/10.1016/S1352-2310(97)00280-X, 1998. a
van Zanten, M., Wichink Kruit, R., Hoogerbrugge, R., Van der Swaluw, E., and van Pul, W.: Trends in ammonia measurements in the Netherlands over the period 1993–2014, Atmos. Environ., 148, 352–360,
https://doi.org/10.1016/j.atmosenv.2016.11.007, 2017. a
van Zanten, M. C., Sauter, F. J., Wichink Kruit, R. J., van Jaarsveld, J. A., and van Pul, W. A. J.: Description of the DEPAC module: Dry deposition modelling with DEPAC-GCN2010, Tech. Rep. 680180001, National Institute for Public Health and the Environment (RIVM), https://www.rivm.nl/bibliotheek/rapporten/680180001.pdf (last access: 23 June 2022), 2010. a, b
Verzijlbergh, R. A., Jonker, H. J. J., Heus, T., and Vilà-Guerau de Arellano, J.: Turbulent dispersion in cloud-topped boundary layers, Atmos. Chem. Phys., 9, 1289–1302, https://doi.org/10.5194/acp-9-1289-2009, 2009. a
Vesala, T., Kljun, N., Rannik, Ü., Rinne, J., Sogachev, A., Markkanen, T., Sabelfeld, K., Foken, T., and Leclerc, M.: Flux and concentration footprint modelling: State of the art, Environ. Pollut., 152, 653–666,
https://doi.org/10.1016/j.envpol.2007.06.070, 2008. a
Vilà-Guerau de Arellano, J., Talmon, A. M., and Builtjes, P.: A chemically reactive plume model for the NO-NO2-O3 system, Atmos. Environ. A-Gen., 24, 2237–2246, https://doi.org/10.1016/0960-1686(90)90255-L, 1990. a
Vilà-Guerau de Arellano, J., Dosio, A., Vinuesa, J.-F., Holtslag, A. A. M., and Galmarini, S.: The dispersion of chemically reactive species in the atmospheric boundary layer, Meteorol. Atmos. Phys., 87, 23–38,
https://doi.org/10.1007/s00703-003-0059-2, 2004. a
Vonk, J., Arets, E., Bannink, A., van Bruggen, C., Groenestein, C., Huijsmans, J., Lagerwerf, L., Luesink, H., Ros, M., Schelhaas, M., van der Zee, T., and Velthof, G.: Referentieraming van emissies naar de lucht uit landbouw en landgebruik tot 2030, met doorkijk naar 2035: Achtergronddocument
bij de Klimaat- en Energieverkenning 2020, no. 1278 in Rapport/Wageningen
Livestock Research, Wageningen Livestock Research, https://doi.org/10.18174/533503,
2020. a
Vrieling, A. and Nieuwstadt, F.: Turbulent dispersion from nearby point sources – interference of the concentration statistics, Atmos. Environ., 37, 4493–4506, https://doi.org/10.1016/S1352-2310(03)00576-4, 2003. a, b
Wichink Kruit, R. and van Pul, W. A. J.: Ontwikkelingen in de stikstofdepositie, Rijksinstituut voor Volksgezondheid en Milieu (RIVM), RIVM briefrapport 2018-0117, https://doi.org/10.21945/RIVM-2018-0117, 2018. a
Wichink Kruit, R., Bleeker, A., Braam, M., van Goethem, T., Hoogerbrugge, R., Rutledge-Jonker, S., Stefess, G., Stolk, A., van der Swaluw, E., Voogt, M., and van Pul, A.: Op weg naar een optimale meetstrategie voor stikstof, Rijksinstituut voor Volksgezondheid en Milieu (RIVM), techreport, https://doi.org/10.21945/RIVM-2021-0118, 2021. a, b, c
Wichink Kruit, R. J., van Pul, W. A. J., Otjes, R. P., Hofschreuder, P.,
Jacobs, A. F. G., and Holtslag, A. A. M.: Ammonia fluxes and derived canopy
compensation points over non-fertilized agricultural grassland in The
Netherlands using the new GRadient Ammonia – High Accuracy –
Monitoring (GRAHAM), Atmos. Environ., 41, 1275–1287,
https://doi.org/10.1016/j.atmosenv.2006.09.039, 2007.
a
Wichink Kruit, R. J., van Pul, W. A. J., Sauter, F. J., van den Broek, M., Nemitz, E., Sutton, M. A., Krol, M., and Holtslag, A. A. M.: Modeling the surface–atmosphere exchange of ammonia, Atmos. Environ., 44, 945–957, https://doi.org/10.1016/j.atmosenv.2009.11.049, 2010. a
WUR: Dutch Farm Accountancy Data Network, agriculture, WUR,
https://www.agrimatie.nl/Binternet.aspx?ID=2&Bedrijfstype=2@3&SelectedJaren=2020&GroteKlassen=Alle+bedrijven,
last access: 21 June 2021. a
Short summary
We present a fine-scale simulation framework, utilizing large-eddy simulations, to assess NH3 measurements influenced by boundary-layer dynamics and turbulent dispersion of a nearby emission source. The minimum required distance from an emission source differs for concentration and flux measurements, from 0.5–3.0 km and 0.75–4.5 km, respectively. The simulation framework presented here proves to be a powerful and versatile tool for future NH3 research at high spatio-temporal resolutions.
We present a fine-scale simulation framework, utilizing large-eddy simulations, to assess NH3...
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