Articles | Volume 15, issue 11
https://doi.org/10.5194/bg-15-3439-2018
https://doi.org/10.5194/bg-15-3439-2018
Research article
 | 
11 Jun 2018
Research article |  | 11 Jun 2018

Evaluation of a new inference method for estimating ammonia volatilisation from multiple agronomic plots

Benjamin Loubet, Marco Carozzi, Polina Voylokov, Jean-Pierre Cohan, Robert Trochard, and Sophie Génermont

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Cited articles

Carozzi, M., Ferrara, R. M., Rana, G., and Acutis, M.: Evaluation of mitigation strategies to reduce ammonia losses from slurry fertilisation on arable lands, Sci. Total Environ., 449, 126–133, 2013a. 
Carozzi, M., Loubet, B., Acutis, M., Rana, G., and Ferrara, R. M.: Inverse dispersion modelling highlights the efficiency of slurry injection to reduce ammonia losses by agriculture in the Po Valley (Italy), Agr. Forest Meteorol., 171, 306–318, 2013b. 
Choudhury, B. J. and Monteith, J. L.: A four-layer model for the heat budget of homogeneous land surfaces, Q. J. Roy. Meteor. Soc., 114, 373–398, 1988. 
CITEPA: Inventaire des émissions de polluants atmosphériques en France métropolitaine, format CEE-NU, CITEPA 494/Convention MATE 26/2001, Centre Interprofessionnel Technique d'Etudes de la Pollution Atmosphérique, 2017. 
Council, E.: Directive 96/61/EC of 24th September 1996 concerning integrated pollution prevention and control, European Council, Brussels, Belgium, 1996. 
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Short summary
Tropospheric ammonia is mainly emitted by agriculture. It constitutes a loss for the farmers and a threat to human health and the environment. It is therefore crucial to improve agricultural practices to reduce ammonia losses following fertilisation. In this study we propose an inverse dispersion modelling method to simultaneously quantify ammonia volatilisation from multiple small agronomic plots. The method was evaluated to be suitable (though slightly biased) based on a theoretical study.
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