Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions

Wagner, Stephen; Angenendt, Elisabeth; Beletskaya, Olga; Zeddies, J.

doi:10.1016/j.agsy.2015.09.003

Cited by 29 publications

(19 citation statements)

References 21 publications

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“…For example, apart from the eutrophication and acidification tendencies of NH 3 , the nitrification of ammonium (NH 4 + ), which can be formed from NH 3 , may also contribute to ground water contamination [9], through nitrate leaching [10], nitric oxide (NO), and nitrous oxide (N 2 O) emissions [11]. Large parts of the NH 3 emitted into the atmosphere form particulate matter (PM) [12] which have the potential to reduce human life expectancy via respiratory and cardiovascular diseases [13]. The estimated reduction of life expectancy due to exposure to particulate matter, in the Benelux region in 2005, accrued to an average of 9.0 months and 8.5 months in the EU-28 [14].…”

Section: Introductionmentioning

confidence: 99%

Meta-Analysis of Strategies to Reduce NH3 Emissions from Slurries in European Agriculture and Consequences for Greenhouse Gas Emissions

2020

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The intensification of livestock production, to accommodate rising human population, has led to a higher emission of ammonia into the environment. For the reduction of ammonia emissions, different management steps have been reported in most EU countries. Some authors, however, have criticized such individual measures, because attempts to abate the emission of ammonia may lead to significant increases in either methane, nitrous oxide, or carbon dioxide. In this study, we carried out a meta-analysis of experimental European data published in peer-reviewed journals to evaluate the impact of major agricultural management practices on ammonia emissions, including the pollution swapping effect. The result of our meta-analysis showed that for the treatment, storage, and application stages, only slurry acidification was effective for the reduction of ammonia emissions (−69%), and had no pollution swapping effect with other greenhouse gases, like nitrous oxide (−21%), methane (−86%), and carbon dioxide (−15%). All other management strategies, like biological treatment, separation strategies, different storage types, the concealing of the liquid slurry with different materials, and variable field applications were effective to varying degrees for the abatement of ammonia emission, but also resulted in the increased emission of at least one other greenhouse gas. The strategies focusing on the decrease of ammonia emissions neglected the consequences of the emissions of other greenhouse gases. We recommend a combination of treatment technologies, like acidification and soil incorporation, and/or embracing emerging technologies, such as microbial inhibitors and slow release fertilizers.

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Section: Introductionmentioning

confidence: 99%

Meta-Analysis of Strategies to Reduce NH3 Emissions from Slurries in European Agriculture and Consequences for Greenhouse Gas Emissions

2020

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“…This is problematic, since there are significant interactions between emissions and abatement options, whereby abating a single pollutant might lead to increases in the other (i.e., pollution swapping). Although, the idea of emission interactions and their effect on the ability of abatement strategies to reduce multiple pollutants has been discussed in literature (Brink et al, 2005; Anthony et al, 2008; Wagner et al, 2011; Winiwarter and Klimont, 2011; UNECE, 2015; Wagner et al, 2015), a systematic evaluation of emission interactions in the management of manure is still amiss. Second, abatement options are usually recommended for a single stage within the entire manure handling and management chain.…”

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confidence: 99%

Greenhouse Gas and Ammonia Emissions from Different Stages of Liquid Manure Management Chains: Abatement Options and Emission Interactions

2018

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Farm livestock manure is an important source of ammonia and greenhouse gases. Concerns over the environmental impact of emissions from manure management have resulted in research efforts focusing on emission abatement. However, questions regarding the successful abatement of manure-related emissions remain. This study uses a meta-analytical approach comprising 89 peer-reviewed studies to quantify emission reduction potentials of abatement options for liquid manure management chains from cattle and pigs. Analyses of emission reductions highlight the importance of accounting for interactions between emissions. Only three out of the eight abatement options considered (frequent removal of manure, anaerobic digesters, and manure acidification) reduced ammonia (3-60%), nitrous oxide (21-55%), and methane (29-74%) emissions simultaneously, whereas in all other cases, tradeoffs were identified. The results demonstrate that a shift from single-stage emission abatement options towards a wholechain perspective is vital in reducing overall emissions along the manure management chain. The study also identifies some key elements like proper clustering, reporting of influencing factors, and explicitly describing assumptions associated with abatement options that can reduce variability in emission reduction estimates. Prioritization of abatement options according to their functioning can help to determine low-risk emission reduction options, specifically options that alter manure characteristics (e.g., reduced protein diets, anaerobic digestion, or slurry acidification). These insights supported by comprehensive emission measurement studies can help improve the effectiveness of emission abatement and harmonize strategies aimed at reducing air pollution and climate change simultaneously. Greenhouse Gas and Ammonia Emissions from Different Stages of Liquid Manure Management Chains: Abatement Options and Emission InteractionsErangu Purath Mohankumar Sajeev,* Wilfried Winiwarter, and Barbara Amon L ivestock production and rearing is a major source of ammonia (NH 3 ) and greenhouse gas (GHG) emissions. In 2014, the livestock sector contributed a share of 53% methane (CH 4 ), 21% nitrous oxide (N 2 O), and 75% NH 3 to total agricultural emissions in the European Union (EU-28) (UNECE, 2016;UNFCCC, 2016). The negative impacts of these emissions on the environment have been widely reported. Accumulation of GHGs in the atmosphere causes climate change, which leads to undesirable consequences like sea level rise, increase in extreme weather events, and losses in food production (Stocker et al., 2013). Ammonia, on the other hand, poses a threat to terrestrial and aquatic systems and contributes to the formation of particulate matter in the atmosphere, which is harmful for human health . Ammonia volatilization and subsequent atmospheric deposition is also a source of indirect N 2 O emissions (De Klein et al., 2006). Given the projected increase in demand for livestock products (Steinfeld et al., 2007), there is a pressing need to ab...

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“…However, with increasing number of pixels in the vicinity of a PM station classified as agricultural areas (2CLC), PM10 concentrations tend to be higher. Likely, this is related to primary emission of dust from arable lands and the application of fertilizers (NH3), which constitute important precursors for secondary particle formation (Hoffmann & Funk, ; Wagner et al, ). For the other land cover classes, no trends were found using the PD approach.…”

Section: Resultsmentioning

confidence: 99%

Mapping and Understanding Patterns of Air Quality Using Satellite Data and Machine Learning

et al. 2020

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The quantification of factors leading to harmfully high levels of particulate matter (PM) remains challenging. This study presents a novel approach using a statistical model that is trained to predict hourly concentrations of particles smaller than 10 μm (PM10) by combining satellite‐borne aerosol optical depth (AOD) with meteorological and land‐use parameters. The model is shown to accurately predict PM10 (overall R 2 = 0.77, RMSE = 7.44 μg/m 3) for measurement sites in Germany. The capability of satellite observations to map and monitor surface air pollution is assessed by investigating the relationship between AOD and PM10 in the same modeling setup. Sensitivity analyses show that important drivers of modeled PM10 include multiday mean wind flow, boundary layer height (BLH), day of year (DOY), and temperature. Different mechanisms associated with elevated PM10 concentrations are identified in winter and summer. In winter, mean predictions of PM10 concentrations >35 μg/m 3 occur when BLH is below ∼500 m. Paired with multiday easterly wind flow, mean model predictions surpass 40 μg/m 3 of PM10. In summer, PM10 concentrations seemingly are less driven by meteorology, but by emission or chemical particle formation processes, which are not included in the model. The relationship between AOD and predicted PM10 concentrations depends to a large extent on ambient meteorological conditions. Results suggest that AOD can be used to assess air quality at ground level in a machine learning approach linking it with meteorological conditions.

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Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions

Cited by 29 publications

References 21 publications

Meta-Analysis of Strategies to Reduce NH3 Emissions from Slurries in European Agriculture and Consequences for Greenhouse Gas Emissions

Meta-Analysis of Strategies to Reduce NH3 Emissions from Slurries in European Agriculture and Consequences for Greenhouse Gas Emissions

Greenhouse Gas and Ammonia Emissions from Different Stages of Liquid Manure Management Chains: Abatement Options and Emission Interactions

Mapping and Understanding Patterns of Air Quality Using Satellite Data and Machine Learning

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