Measurement of ammonia emissions in multi-plot field experiments

Gericke, D. O.; Pacholski, Andreas; Kage, Henning

doi:10.1016/j.biosystemseng.2010.11.009

Cited by 55 publications

(62 citation statements)

References 18 publications

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“…Qualitative assessment of the cost-benefits of the different monitoring techniques have also been reported 106 (see for example (Gericke et al, 2011;Misselbrook et al, 2005b)). For small-plot comparative 107 measurements, a wind tunnel system is recommended, albeit with a caveat of its tendency to modify the 108 temperature at the emitting surface relative to the ambient conditions owing to canopy effect (Braschkat 109 et al, 1993;Misselbrook et al, 2005b;Nyord et al, 2012), thereby influencing the emission rates.…”

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confidence: 99%

Assessment and mitigation of the environmental burdens to air from land applied food-based digestate

Tiwary

Williams

Pant

et al. 2015

Environmental Pollution

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Highlights:· In situ air pollution assessment of land applied digestate is performed. · Environmental burden minimisation scenarios for digestate bio fertiliser presented. · Food-based digestate show high ammonia volatilisation potential. · Soil incorporated digestate effectively reduces NH 3 but elevates N 2 O emissions. · Managing digestate emissions mitigate both climate change and air pollution. Abstract (limit 150 words only)Anaerobic digestion (AD) of putrescible urban waste for energy recovery has seen rapid growth over recent years. In order to ascertain its systems scale sustainability, however, determination of the environmental fate of the large volume of digestate generated during the process is indispensable. This paper evaluates the environmental burdens to air associated with land applied food-based digestate in terms of primary pollutants (ammonia, nitrogen dioxide) and greenhouse gases (methane and nitrous oxide). The assessments have been made in two stages -first, the emissions from surface application of food-based digestate are quantified for the business as usual (BAU). In the next step, environmental burden minimisation potentials for the following three mitigation measures are estimated -mixed waste digestate (MWD), soil-incorporated digestate (SID), and post-methanated digestate (PMD). Overall, the mitigation scenarios demonstrated considerable NH 3 , CH 4 and N 2 O burden minimisation potentials, with positive implications for both climate change and urban pollution. Keywords: anaerobic digestion; bio fertilizer; digestate; environmental burdens; OFMSWCapsule abstract: In situ monitoring and analyses demonstrate the role of post-processing in greenhouse gases and air pollution mitigation from food-based digestate use as bio fertiliser. Highlights:· In situ air pollution assessment of land applied digestate is performed. · Environmental burden minimisation scenarios for digestate bio fertiliser presented. · Food-based digestate show high ammonia volatilisation potential. · Soil incorporated digestate effectively reduces NH 3 but elevates N 2 O emissions. · Managing digestate emissions mitigate both climate change and air pollution.3

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mentioning

confidence: 99%

Assessment and mitigation of the environmental burdens to air from land applied food-based digestate

Tiwary

Williams

Pant

et al. 2015

Environmental Pollution

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“…In another field of research, solutions to the multiple source inference problem, which consists of inferring multiple sources based on measured concentrations at multiple points in space and time, have been developed especially since 2008 (Crenna et al, 2008;Gao et al, 2008;Gericke et al, 2011;Mukherjee et al, 2015;Vandré and Kaupenjohann, 1998). They have chiefly been used over regional scales Lushi and Stockie, 2010;Yee and Flesch, 2010), and have been shown to be very dependent on the source-sensor geometry (Crenna et al, 2008;Flesch et al, 2009;Wang et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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

Loubet¹,

Carozzi²,

Voylokov³

et al. 2018

Biogeosciences

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Abstract. Tropospheric ammonia (NH 3 ) is a threat to the environment and human health and is mainly emitted by agriculture. Ammonia volatilisation following application of nitrogen in the field accounts for more than 40 % of the total NH 3 emissions in France. This represents a major loss of nitrogen use efficiency which needs to be reduced by appropriate agricultural practices. In this study we evaluate a novel method to infer NH 3 volatilisation from small agronomic plots consisting of multiple treatments with repetition. The method is based on the combination of a set of NH 3 diffusion sensors exposed for durations of 3 h to 1 week and a shortrange atmospheric dispersion model, used to retrieve the emissions from each plot. The method is evaluated by mimicking NH 3 emissions from an ensemble of nine plots with a resistance analogue-compensation point-surface exchange scheme over a yearly meteorological database separated into 28-day periods. A multifactorial simulation scheme is used to test the effects of sensor numbers and heights, plot dimensions, source strengths, and background concentrations on the quality of the inference method. We further demonstrate by theoretical considerations in the case of an isolated plot that inferring emissions with diffusion sensors integrating over daily periods will always lead to underestimations due to correlations between emissions and atmospheric transfer. We evaluated these underestimations as −8 % ± 6 % of the emissions for a typical western European climate. For multiple plots, we find that this method would lead to median underestimations of −16 % with an interquartile [−8-22 %] for two treatments differing by a factor of up to 20 and a control treatment with no emissions. We further evaluate the methodology for varying background concentrations and NH 3 emissions patterns and demonstrate the low sensitivity of the method to these factors. The method was also tested in a real case and proved to provide sound evaluations of NH 3 losses from surface applied and incorporated slurry. We hence showed that this novel method should be robust and suitable for estimating NH 3 emissions from agronomic plots. We believe that the method could be further improved by using Bayesian inference and inferring surface concentrations rather than surface fluxes. Validating against controlled source is also a remaining challenge.

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“…Maszt przygotowany do pomiarów emisji amoniaku We wszystkich gospodarstwach emisję amoniaku z badanych nawozów mineralnych szacowano techniką mikrometeorologicznej dozymetrii pasywnej [2,3].…”

Section: Ilościowe Pomiary Emisji Amoniakuunclassified

Efektywność inhibitora ureazy NBPT w ograniczaniu emisji amoniaku z mocznika i roztworów saletrzano – mocznikowych (RSM) stosowanych w mineralnym żywieniu roślin

Marcinkowski¹,

Kierończyk²

2015

ZNPRzBiS

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Ocena skuteczności inhibitora ureazy NBPT w ograniczaniu emisji amoniaku z mocznika i RSM, nawozów powszechnie stosowanych w mineralnym żywieniu roślin uprawnych, była głównym celem badań doświadczalnych przeprowadzonych w latach 2011-2012 w kilku pomorskich gospodarstwach rolnych. W warunkach doświadczenia polowego, przeprowadzonego na trwałych użytkach zielonych, położo-nych na madzie średniej pylastej stwierdzono, że po zastosowaniu nawożenia azotowego pod drugi odrost traw, w dawce 60 kg N·ha -1

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Measurement of ammonia emissions in multi-plot field experiments

Cited by 55 publications

References 18 publications

Assessment and mitigation of the environmental burdens to air from land applied food-based digestate

Assessment and mitigation of the environmental burdens to air from land applied food-based digestate

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

Efektywność inhibitora ureazy NBPT w ograniczaniu emisji amoniaku z mocznika i roztworów saletrzano – mocznikowych (RSM) stosowanych w mineralnym żywieniu roślin

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