Effects of Manure Storage Additives on Manure Composition and Greenhouse Gas and Ammonia Emissions

2017 ◽  
Vol 60 (2) ◽  
pp. 449-456 ◽  
2018 ◽  
Vol 204 ◽  
pp. 778-787 ◽  
Author(s):  
Xiaoxi Sun ◽  
Shuangshuang Ma ◽  
Lujia Han ◽  
Renquan Li ◽  
Uwe Schlick ◽  
...  

Agronomy ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1633
Author(s):  
Christoph Emmerling ◽  
Andreas Krein ◽  
Jürgen Junk

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.


2008 ◽  
Author(s):  
Lifeng Li ◽  
Jactone Arogo Ogejo ◽  
Linsey C Marr ◽  
Katharine F Knowlton ◽  
Mark D Hanigan ◽  
...  

2007 ◽  
Vol 112 (3) ◽  
pp. 199-207 ◽  
Author(s):  
Barbara Amon ◽  
Vitaliy Kryvoruchko ◽  
Martina Fröhlich ◽  
Thomas Amon ◽  
Alfred Pöllinger ◽  
...  

2020 ◽  
Vol 20 (24) ◽  
pp. 16055-16087
Author(s):  
Xinrui Ge ◽  
Martijn Schaap ◽  
Richard Kranenburg ◽  
Arjo Segers ◽  
Gert Jan Reinds ◽  
...  

Abstract. Ammonia emissions into the atmosphere have increased substantially in Europe since 1960, primarily due to the intensification of agriculture, as illustrated by enhanced livestock and the use of fertilizers. These associated emissions of reactive nitrogen, particulate matter, and acid deposition have contributed to negative societal impacts on human health and terrestrial ecosystems. Due to the limited availability of reliable measurements, emission inventories are used to assess large-scale ammonia emissions from agriculture by creating gridded annual emission maps and emission time profiles globally and regionally. The modeled emissions are subsequently utilized in chemistry transport models to obtain ammonia concentrations and depositions. However, current emission inventories usually have relatively low spatial resolutions and coarse categorizations that do not distinguish between fertilization on various crops, grazing, animal housing, and manure storage in its spatial allocation. Furthermore, in assessing the seasonal variation of ammonia emissions, they do not consider local climatology and agricultural management, which limits the capability to reproduce observed spatial and seasonal variations in the ammonia concentrations. This paper describes a novel ammonia emission model that quantifies agricultural emissions with improved spatial details and temporal dynamics in 2010 in Germany and Benelux. The spatial allocation was achieved by embedding the agricultural emission model Integrated Nitrogen Tool across Europe for Greenhouse gases and Ammonia Targeted to Operational Responses (INTEGRATOR) into the air pollution inventory Monitoring Atmospheric Composition and Climate-III (MACC-III), thus accounting for differentiation in ammonia emissions from manure and fertilizer application, grazing, animal houses and manure storage systems. The more detailed temporal distribution came from the integration of TIMELINES, which provided predictions of the timing of key agricultural operations, including the day of fertilization across Europe. The emission maps and time profiles were imported into LOTOS-EUROS to obtain surface concentrations and total columns for validation. The comparison of surface concentration between modeled output and in situ measurements illustrated that the updated model had been improved significantly with respect to the temporal variation of ammonia emission, and its performance was more stable and robust. The comparison of total columns between remote sensing observations and model simulations showed that some spatial characteristics were smoothened. Also, there was an overestimation in southern Germany and underestimation in northern Germany. The results suggested that updating ammonia emission fractions and accounting for manure transport are the direction for further improvement, and detailed land use is needed to increase the spatial resolution of spatial allocation in ammonia emission modeling.


2017 ◽  
Vol 70 ◽  
pp. 45-52 ◽  
Author(s):  
M.A. Fillingham ◽  
A.C. VanderZaag ◽  
S. Burtt ◽  
H. Baldé ◽  
N.M. Ngwabie ◽  
...  

2016 ◽  
Vol 45 (6) ◽  
pp. 1979-1987 ◽  
Author(s):  
Chanhee Lee ◽  
Rafael C. Araujo ◽  
Karen M. Koenig ◽  
Michael L. Hile ◽  
Eileen E. Fabian-Wheeler ◽  
...  

2016 ◽  
Vol 56 (9) ◽  
pp. 1367 ◽  
Author(s):  
T. A. Naylor ◽  
S. G. Wiedemann ◽  
F. A. Phillips ◽  
B. Warren ◽  
E. J. McGahan ◽  
...  

Greenhouse gas and ammonia emissions are important environmental impacts from manure management in the layer-hen industry. The present study aimed to quantify emissions of nitrous oxide (N2O), methane (CH4) and ammonia (NH3) from layer-hen manure stockpiles, and assess the use of an impermeable cover as an option to mitigate emissions. Gaseous emissions of N2O, CH4 and NH3 were measured using open-path FTIR spectroscopy and the emission strengths were inferred using a backward Lagrangian stochastic model. Emission factors were calculated from the relationship between gaseous emissions and stockpile inputs over a 32-day measurement period. Total NH3 emissions were 5.97 ± 0.399 kg/t (control) and 0.732 ± 0.116 kg/t (mitigation), representing an 88% reduction due to mitigation. Total CH4 emissions from the mitigation stockpile were 0.0832 ± 0.0198 kg/t. Methane emissions from the control and N2O emissions (control and mitigation) were below detection. The mass of each stockpile was 27 820 kg (control) and 25 120 kg (mitigation), with a surface area of ~68 m2 and a volume of ~19 m3. Total manure nitrogen (N) and volatile solids (VS) were 25.2 and 25.8 kg/t N, and 139 and 106 kg/t VS for the control and mitigation stockpiles respectively. Emission factors for NH3 were 24% and 3% of total N for the control and mitigation respectively. Methane from the mitigation stockpile had a CH4 conversion factor of 0.3%. The stockpile cover was found to reduce greenhouse gas emissions by 74% compared with the control treatment, primarily via reduced NH3 and associated indirect N2O emissions.


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