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sector:agriculture:manure_management:start [2021/02/03 16:36] – [Table] doeringsector:agriculture:manure_management:start [2022/09/15 13:44] (current) – [Country specifics] Fix link hausmann
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 ===== Short description ===== ===== Short description =====
  
-^ NFR-Code                                         ^ Name of Category        ^ Method                                                                                           ^ AD      ^ EF                                                                                          ^ Key Category <sup>1</sup>                    ^ State of reporting                                              ^ +^ NFR-Code                                         ^ Name of Category        ^ Method                                                                                           ^ AD      ^ EF                                                                                          ^ State of reporting                                              ^ 
-| **3.B    **                                      | ** Manure Management**  | **see sub-category details**                                                                                                                                                                         |                                              |                                                                 | +| **3.B    **                                      | ** Manure Management**  | **see sub-category details**                                                                                                                                                                           |||                                                                 | 
-| **consisting of / including source categories**                                                                                                                                                                                                                                                                                                                                                  ||||||| +| **consisting of / including source categories**                                                                                                                                                                                                                                                                                                    |||||| 
-| 3.B.1.a & 3.B.1.b                                | Cattle                  | T3 (NH<sub>3</sub> ), T2 (NO<sub>x</sub> , TSP, PM<sub>10</sub> , PM<sub>2.5</sub>, NMVOC)       | NS, RS  | CS (NH<sub>3</sub> , NO<sub>x</sub> ), D (TSP, PM<sub>10</sub> , PM<sub>2.5</sub> , NMVOC)  | L & T: NH<sub>3</sub>  (for 3.B.1.b), NMVOC  | L: NH<sub>3</sub>  (for 3.B.1.a)                                | +| 3.B.1.a & 3.B.1.b                                | Cattle                  | T3 (NH<sub>3</sub> ), T2 (NO<sub>x</sub> , TSP, PM<sub>10</sub> , PM<sub>2.5</sub>, NMVOC)       | NS, RS  | CS (NH<sub>3</sub> , NO<sub>x</sub> ), D (TSP, PM<sub>10</sub> , PM<sub>2.5</sub> , NMVOC)  | L: NH<sub>3</sub>  (for 3.B.1.a)                                | 
-| 3.B.2, 3.B.4.d, 3.B.4.e                          | Sheep, Goats, Horses    | T2 (NH<sub>3</sub> , NO<sub>x</sub> , TSP, PM<sub>10</sub> , PM<sub>2.5</sub>), T1 (NMVOC)       | NS, RS  | CS (NH<sub>3</sub> ,NO<sub>x</sub> ), D (TSP, PM<sub>10</sub> , PM<sub>2.5</sub> , NMVOC)   | no key category                              |                                                                 | +| 3.B.2, 3.B.4.d, 3.B.4.e                          | Sheep, Goats, Horses    | T2 (NH<sub>3</sub> , NO<sub>x</sub> , TSP, PM<sub>10</sub> , PM<sub>2.5</sub>), T1 (NMVOC)       | NS, RS  | CS (NH<sub>3</sub> ,NO<sub>x</sub> ), D (TSP, PM<sub>10</sub> , PM<sub>2.5</sub> , NMVOC)                                                                   | 
-| 3.B.3                                            | Swine                   | T3 (NH<sub>3</sub> ), T2 (NO<sub>x</sub> , TSP, PM<sub>10</sub> , PM<sub>2.5</sub>), T1 (NMVOC)  | NS, RS  | CS (NH<sub>3</sub> , NO<sub>x</sub> ), D (TSP, PM<sub>10</sub> , PM<sub>2.5</sub> , NMVOC)  | L & T: NH<sub>3</sub> , TSP                  |                                                                 | +| 3.B.3                                            | Swine                   | T3 (NH<sub>3</sub> ), T2 (NO<sub>x</sub> , TSP, PM<sub>10</sub> , PM<sub>2.5</sub>), T1 (NMVOC)  | NS, RS  | CS (NH<sub>3</sub> , NO<sub>x</sub> ), D (TSP, PM<sub>10</sub> , PM<sub>2.5</sub> , NMVOC)  |                                                                 | 
-| 3.B.4.a                                          | Buffalo                                                                                                                  |                                                                                                     |                                              | NO, from 1990 until 1995, since 1996 IE, considered in 3.B.1.b +| 3.B.4.a                                          | Buffalo                                                                                                                  |                                                                                                     | NO, from 1990 until 1995, since 1996 IE, considered in 3.B.1.b 
-| 3.B.4.f                                          | Mules and asses                                                                                                          |                                                                                                     |                                              | IE, considered in 3.B.4.e                                       | +| 3.B.4.f                                          | Mules and asses                                                                                                          |                                                                                                     | IE, considered in 3.B.4.e                                       | 
-| 3.B.4.g i-iv                                     | Poultry                 | T2 (NH<sub>3</sub> , NO<sub>x</sub> , TSP, PM<sub>10</sub> , PM<sub>2.5</sub>), T1 (NMVOC)       | NS, RS  | CS (NH<sub>3</sub> , NO<sub>x</sub> ), D (TSP, PM<sub>10</sub> , PM<sub>2.5</sub> , NMVOC)  | L: TSP (for 3.B.4.g i)                       | T: NH<sub>3</sub>  (for 3.B.4.g iii)                            | +| 3.B.4.g i-iv                                     | Poultry                 | T2 (NH<sub>3</sub> , NO<sub>x</sub> , TSP, PM<sub>10</sub> , PM<sub>2.5</sub>), T1 (NMVOC)       | NS, RS  | CS (NH<sub>3</sub> , NO<sub>x</sub> ), D (TSP, PM<sub>10</sub> , PM<sub>2.5</sub> , NMVOC)  | T: NH<sub>3</sub>  (for 3.B.4.g iii)                            | 
-| 3.B.4.h                                          | Other animals                                                                                                            |                                                                                                     |                                              | NE                                                              |+| 3.B.4.h                                          | Other animals                                                                                                            |                                                                                                     | NE                                                              |
  
-<hidden>+^  Key Category  ^  SO₂      NOₓ  ^  NH₃  ^  NMVOC  ^  CO    BC    Pb    Hg    Cd    Diox  ^  PAH  ^  HCB  ^  TSP  ^  PM₁₀  ^  PM₂ ₅  ^ 
 +| 3.B.1.a          -          |  -/-  |  L/T  |  L/-    |  -    |  -    |  -    |  -    |  -    |  -      -    |  -    |  -/-  |  -/-    -/-    | 
 +| 3.B.1.b          -          |  -/-  |  L/T  |  L/-    |  -    |  -    |  -    |  -    |  -    |  -      -    |  -    |  -/-  |  -/-    -/-    | 
 +| 3.B.2            -          |  -/-  |  -/-  |  -/-    |  -    |  -    |  -    |  -    |  -    |  -      -    |  -    |  -/-  |  -/-    -/-    | 
 +| 3.B.3            -          |  -/-  |  L/T  |  -/-    |  -    |  -    |  -    |  -    |  -    |  -      -    |  -    |  L/-  |  -/-    -/-    | 
 +| 3.B.4.d          -          |  -/-  |  -/-  |  -/-    |  -    |  -    |  -    |  -    |  -    |  -      -    |  -    |  -/-  |  -/-    -/-    | 
 +| 3.B.4.e          -          |  -/-  |  -/-  |  -/-    |  -    |  -    |  -    |  -    |  -    |  -      -    |  -    |  -/-  |  -/-    -/-    | 
 +| 3.B.4.g.i        -          |  -/-  |  -/-  |  -/-    |  -    |  -    |  -    |  -    |  -    |  -      -    |  -    |  L/-  |  -/-    -/-    | 
 +| 3.B.4.g.ii      |  -          |  -/-  |  -/-  |  -/-    |  -    |  -    |  -    |  -    |  -    |  -      -    |  -    |  -/-  |  -/-    -/-    | 
 +| 3.B.4.g.iii      -          |  -/-  |  -/-  |  -/-    |  -    |  -    |  -    |  -    |  -    |  -      -    |  -    |  -/-  |  -/-    -/-    | 
 +| 3.B.4.g.iv      |  -          |  -/-  |  -/-  |  -/-    |  -    |  -    |  -    |  -    |  -    |  -      -    |  -    |  -/-  |  -/-    -/-    |
  
----- + {{page>general:Misc:LegendEIT:start}} 
-Legend +\\
-T = key source by Trend / L = key source by Level+
  
----- 
  
-//Methods//  +===== Country specifics ===== 
-D: Default +
-RA: Reference Approach +
-T1: Tier 1 / Simple Methodology * +
-T2: Tier 2* +
-T3: Tier 3 / Detailed Methodology * +
-C: CORINAIR +
-CS: Country Specific +
-M: Model +
-as described in the EMEP/CORINAIR Emission Inventory Guidebook - 2019, in the group specific chapters. +
  
----- 
  
-//AD:- Data Source for Activity Data // +{{ :sector:agriculture:cowshed.png?nolink&600}}
-NS: National Statistics +
-RS: Regional Statistics +
-IS: International Statistics +
-PS: Plant Specific data +
-AS: Associations, business organisations +
-Q: specific questionnaires, surveys+
  
----- +In 2019, NH<sub>3</sub> emissions from category 3.B (manure managementderived up to 43.6 % from total agricultural emissions, which is equal to ~ 243.3 kt NH<sub>3</sub>. Within those emissions 47.2 % originate from cattle manure (~ 114.9 kt), 36.4 % from pig manure (ca. 88.5 kt), and 13.3 % from poultry manure (~ 32.4 kt). Calculations take into account the impact of anaerobic digestion of manure on the emissions.
- +
-//EF - Emission Factors//  +
-D: Default (EMEP Guidebook) +
-C: Confidential +
-CS: Country Specific +
-PS: Plant Specific data</hidden> +
- +
- +
-===== Country specifics =====  +
-must be updated +
- +
-{{ :sector:agriculture:cowshed.png?nolink&600}}+
  
-In 2019, NH<sub>3</sub> emissions from category 3.B (manure management) derived up to xx44.0 % from total agricultural emissions, which is equal to ~ xx267.0 kt NH<sub>3</sub>. Within those emissions 51.7 % originate from cattle manure (~ 138.0 kt), 33.9 % from pig manure (ca. 90.6 kt), and 11.6 % from poultry manure (~ 30.9 kt). Calculations take into account the impact of anaerobic digestion of manure on the emissions. 
  
-NO<sub>x</sub> emissions from category 3.B (manure management) contribute only 1.% (~ 1.kt) to the total agricultural NO<sub>x</sub> emissions. They are calculated proportionally to N<sub>2</sub>O emissions. (see Haenel et al., 2020Chapter 3.3.4.3.5 [1]).+NO<sub>x</sub> emissions from category 3.B (manure management) contribute only 1.% (~ 1.kt) to the total agricultural NO<sub>x</sub> emissions. They are calculated proportionally to N<sub>2</sub>O emissionssee Rösemann et al. (2021) ((Rösemann C., Haenel H-D.Vos C., Dämmgen U., Döring U., Wulf S., Eurich-Menden B., Freibauer A., Döhler H., Schreiner C., Osterburg B. & Fuß, R. (2021): Calculations of gaseous and particulate emissions from German Agriculture 1990 –2019. Report on methods and data (RMD), Submission 2021. Thünen Report 84. https://www.thuenen.de/de/fachinstitute/agrarklimaschutz/arbeitsbereiche/emissionsinventare)).
  
-NMVOC emissions from category 3.B (manure management) contributed 97.% (316.kt) from total agricultural NMVOC emissions (324.kt).+NMVOC emissions from category 3.B (manure management) contributed 97.% (295.kt) from total agricultural NMVOC emissions (304.kt).
  
-In 2019, manure management contributed, respectively, xx71.% (xx43.kt), xx43.% (xx13.kt) and xx5.% (xx3.kt) to the total agricultural TSP, PM10 and PM2.5 emissions (TSP: 61.kt, PM<sub>10</sub>: 30.kt, PM<sub>2.5</sub>: 4.kt, respectively).+In 2019, manure management contributed, respectively, 71.% (42.kt), 42.% (13.kt) and 84.% (3.kt) to the total agricultural TSP, PM<sub>10</sub> and PM<sub>2.5</sub> emissions (TSP: 60.kt, PM<sub>10</sub>: 30.kt, PM<sub>2.5</sub>: 4.kt, respectively).
  
-**Activity data for all pollutants**+==== Activity data for all pollutants ====
  
-The Federal Statistical Agency and the Statistical Agencies of the federal states carry out surveys in order to collect, along with other data, the head counts of animals. The results of these surveys are used for emission calculations, for details see Haenel et al.2020, Chapter 3.4.2 [1].+The Federal Statistical Agency and the Statistical Agencies of the federal states carry out surveys in order to collect, along with other data, the head counts of animals. The results of these surveys are used for emission calculations, for details see Rösemann et al, 2021, Chapter 3.4.2.
  
-The animal population figures used in the inventory are presented in Table 1. Buffaloes are included in the cattle population figures, mules and asses are included in the horse population figures (IE), see Haenel et al.(2020), Chapters 4.1 and 7.1 [1]. In the first years after the German reunification in 1990 animal livestock decreased markedly. The head counts for cattle continued to decrease significantly until 2006/2007, followed by a more or less stable period until 2014. Since 2015 a slight decrease occurred. In 2018, dairy cattle numbers are xx64.% of 1990 numbers, while the total population of other cattle is at xx59.% of 1990. Swine numbers decreased until 1995 and then increased slightly. Since 2014 a slight decrease occurred (xx2019xx83.% of 1990). The 2019 numbers of horses, sheep and goats are, respectively, at xx85.%, xx56.5 % and xx160.% of 1990.+The animal population figures used in the inventory are presented in Table 1. Buffaloes are included in the cattle population figures, mules and asses are included in the horse population figures (IE), see Rösemann et al. (2021), Chapters 4.1 and 7.1. In the first years after the German reunification in 1990 animal livestock decreased markedly. The head counts for cattle continued to decrease significantly until 2006/2007, followed by a more or less stable period until 2014. Since 2015 a slight decrease occurred. In 2019, dairy cattle numbers are 63.% of 1990 numbers, while the total population of other cattle is at 58.% of 1990. Swine numbers decreased until 1995 and then increased slightly. Since 2014 a slight decrease occurred (201981.% of 1990). The 2019 numbers of horses, sheep and goats are, respectively, at 84.%, 55.5 % and 163.% of 1990.
  
-Figures for broilers and turkeys are showing a massive increase since 1990. In total, 2019 poultry population figures are at xx153.% of 1990. A detailed description of the animal figures used can be found in the National Inventory Report (NIR 2020 [11], Chapter 5.1.3.2.3).+Figures for broilers and turkeys are showing a massive increase since 1990. In total, 2019 poultry population figures are at 154.% of 1990. A detailed description of the animal figures used can be found in the National Inventory Report 2021 ((NIR, National Inventory Report 2021 for the German Greenhouse Gas Inventory 1990-2019. Available in April 2021)), Chapter 5.1.3.2.3.
  
 //Table 1: Population of animals// //Table 1: Population of animals//
Line 91: Line 70:
 | geese                                |     781.5 |     617.0 |     404.8 |     329.5 |     278.1 |     366.8 |     455.5 |     544.2 |     472.5 |     400.8 |     329.0 |     329.0 |     329.0 |     329.0 | | geese                                |     781.5 |     617.0 |     404.8 |     329.5 |     278.1 |     366.8 |     455.5 |     544.2 |     472.5 |     400.8 |     329.0 |     329.0 |     329.0 |     329.0 |
 | other animals: no data available a)                                                                                                                                                            ||||||||||||||| | other animals: no data available a)                                                                                                                                                            |||||||||||||||
 +<hidden>
 +a) Animal numbers of other animals are not available. Emissions of other animals were approximated with estimated population figures for a single year (see Rösemann et. al., 2017, Chapter 9, ((Rösemann C, Haenel H-D, Dämmgen U, Freibauer A, Döring, U, Wulf S, Eurich-Menden B, Döhler H, Schreiner C, and Osterburg B, 2017, Calculations of gaseous and particulate emissions from German Agriculture 1990 – 2015. Report on methods and data (RMD), Submission 2017. Thünen Report 46, 423 p.)) and submitted to the TERT of the NECD-Review. The TERT confirmed that emissions are below the threshold of significance. For GHG emission reporting the UNFCCC has acknowledged that the emissions from Germany's other animals are negligible. To ensure consistency between UNFCCC and UNECE/NEC reporting, no air pollutants from other animals are reported.</hidden>
  
-<hidden>a) Animal numbers of other animals are not available. Emissions of other animals were approximated with estimated population figures for a single year (see Rösemann et. al., 2017, Chapter 9) [12] and submitted to the TERT oft he NECD-Review. The TERT confirmed that emissions are below the threshold of significance. For GHG emission reporting the UNFCCC has acknowledged that the emissions from Germany's other animals are negligible. To ensure consistency between UNFCCC and UNECE/NEC reporting, no air pollutants from other animals are reported.</hidden>+----
  
- +==== Additional data ==== 
- +Emission calculations in accordance with a Tier 2 or Tier 3 method require data on animal performance (animal weight, weight gain, milk yield, milk protein content, milk fat content, numbers of births, numbers of eggs and weights of eggs) and on the relevant feeding details (phase feeding, feed components, protein and energy content, digestibility and feed efficiency). To subdivide officially recorded total numbers of turkeys into roosters and hens, the respective population percentages need to be known. Details on data requirements for the modelling of emissions from livestock husbandry in the German inventory can be found in Rösemann et al. (2021), Chapters 4 to 8.
-**Additional data** +
- +
-Emission calculations in accordance with a Tier 2 or Tier 3 method require data on animal performance (animal weight, weight gain, milk yield, milk protein content, milk fat content, numbers of births, numbers of eggs and weights of eggs) and on the relevant feeding details (phase feeding, feed components, protein and energy content, digestibility and feed efficiency). To subdivide officially recorded total numbers of turkeys into roosters and hens, the respective population percentages need to be known. Details on data requirements for the modelling of emissions from livestock husbandry in the German inventory can be found in Haenel et al. (2020), Chapters 4 to 8 [1].+
  
 Most of the data mentioned above is not available from official statistics and was obtained from literature, from publications by agricultural association, from regulations for agricultural consulting in Germany and from expert judgments. Most of the data mentioned above is not available from official statistics and was obtained from literature, from publications by agricultural association, from regulations for agricultural consulting in Germany and from expert judgments.
-For 1991, 1995 and 1999, frequency distributions of feeding strategies, husbandry systems (shares of pasturing/stabling; shares of various housing methods), storage types as well as techniques of farm manure spreading were obtained with the help of the RAUMIS agricultural sector model (Regionalisiertes Agrar- und UmweltInformationsystem für Deutschland/ Regionalised agricultural and environmental information system for Germany). RAUMIS has been developed and is operated by the Institute of Rural Studies of the Thünen Institute (Federal Research Institute for Rural Areas, Forestry and Fisheries). For an introduction to RAUMIS see Weingarten (1995) [6]; a detailed description is provided in Henrichsmeyer et al. (1996) [7].+For 1991, 1995 and 1999, frequency distributions of feeding strategies, husbandry systems (shares of pasturing/stabling; shares of various housing methods), storage types as well as techniques of farm manure spreading were obtained with the help of the RAUMIS agricultural sector model (Regionalisiertes Agrar- und UmweltInformationsystem für Deutschland/ Regionalised agricultural and environmental information system for Germany). RAUMIS has been developed and is operated by the Institute of Rural Studies of the Thünen Institute (Federal Research Institute for Rural Areas, Forestry and Fisheries). For an introduction to RAUMIS see Weingarten (1995) (( Weingarten, 1995: Das „Regionalisierte Agrar- und Umweltinformationssystem für die Bundesrepublik Deutschland“ (RAUMIS). Berichte über die Landwirtschaft Band 73, 272-302.)); a detailed description is provided in Henrichsmeyer et al. (1996) ((Henrichsmeyer, W.; Cypris, Ch.; Löhe, W.; Meuth, M.; Isermeyer F; Heinrich, I.; Schefski, A.; Neander, E.; Fasterding, F.;, Neumann, M.; Nieberg, H., 1996: Entwicklung des gesamtdeutschen Agrarsektormodells RAUMIS96. Endbericht zum Kooperationsprojekt. Forschungsbericht für das BMELF (94 HS 021), Bonn, Braunschweig.)).
  
 RAUMIS did not model complete time series but only selected years. RAUMIS data for the years 1991, 1995, and 1999 are used in the inventory for years 1990 – 1993, 1994 – 1997, and 1998 – 1999, respectively. RAUMIS did not model complete time series but only selected years. RAUMIS data for the years 1991, 1995, and 1999 are used in the inventory for years 1990 – 1993, 1994 – 1997, and 1998 – 1999, respectively.
Line 107: Line 85:
  
 For the year 2015, data on techniques of farm manure spreading from the 2016 official agricultural census (Agrarstrukturerhebung 2016, Statistisches Bundesamt / Federal Statistical Office) are used. For the year 2015, data on techniques of farm manure spreading from the 2016 official agricultural census (Agrarstrukturerhebung 2016, Statistisches Bundesamt / Federal Statistical Office) are used.
-The gaps between the latest RAUMIS model data (1999) and the first official data (2010) were closed by linear interpolation on district level. For 2011 to 2018 the 2010 data was kept, with the exception of data on techniques of farm manure spreading. For the latter the data was linearly interpolated between 2010 and 2015, and for 2016 to 2018 the 2015 data was kept. In addition it was taken into account that, as of 2012, slurry spread on bare soil has to be incorporated within four hours. +The gaps between the latest RAUMIS model data (1999) and the first official data (2010) were closed by linear interpolation on district level. For 2011 to 2019 the 2010 data was kept, with the exception of data on techniques of farm manure spreading. For the latter the data was linearly interpolated between 2010 and 2015, and for 2016 to 2019 the 2015 data was kept. In addition it was taken into account that, as of 2012, slurry spread on bare soil has to be incorporated within four hours. 
-For a description of the RAUMIS data, the data from official surveys and additional data from other sources see Haenel et al. (2020), Chapter 3.4 [1]. Time series of frequency distributions of housing systems, storage systems and application techniques as well as the corresponding emission factors are provided in NIR 2020 [11],Chapter 19.3.2. +For a description of the RAUMIS data, the data from official surveys and additional data from other sources see Rösemann et al. (2021), Chapter 3.4. Time series of frequency distributions of housing systems, storage systems and application techniques as well as the corresponding emission factors are provided in NIR 2021,Chapter 19.3.2.
- +
- +
- +
- +
- +
- +
-=====  NH3 and NOx ===== +
-must be updated +
  
-==== Methodology ====+=====  NH₃ and NOₓ ===== 
 +==== Method ====
  
-**N in manure management** +=== N in manure management ===
-**N excretion**+
  
-In order to determine NH<sub>3</sub> and NO<sub>x</sub> emissions from manure management of a specific animal category, the individual N excretion rate must be known as well as, for NH<sub>3</sub>, the TAN content of the N excretions. Default excretion rates are provided by IPCC Guidelines and default TAN contents can be found in the EMEP Guidebook (EMEP, 2016[10]. However, the German agricultural emission inventory uses N mass balances to calculate the N excretions and the TAN contents of almost all animal categories to be reported. N mass balance calculations (see below) consider N intake with feed, N retention due to growth, N contained in milk and eggs, and N in offspring. Table 2 presents national means of N excretions and TAN contents. For methodological details and mass balance input data see +== N excretion == 
-Haenel et al. (2020), Chapter 3.3.4.3 as well as Chapters 4 to 8 [1].+In order to determine NH<sub>3</sub> and NO<sub>x</sub> emissions from manure management of a specific animal category, the individual N excretion rate must be known as well as, for NH<sub>3</sub>, the TAN content of the N excretions. Default excretion rates are provided by IPCC Guidelines and default TAN contents can be found in the EMEP Guidebook, 2019((EMEP/EEA air pollutant emission inventory guidebook – 2019EEA Report No 13/2019, https://www.eea.europa.eu/publications/emep-eea-guidebook-2019.)). However, the German agricultural emission inventory uses N mass balances to calculate the N excretions and the TAN contents of almost all animal categories to be reported. N mass balance calculations (see below) consider N intake with feed, N retention due to growth, N contained in milk and eggs, and N in offspring. Table 2 presents national means of N excretions and TAN contents. For methodological details and mass balance input data see 
 +Rösemann et al. (2021), Chapter 3.3.4.3 as well as Chapters 4 to 8.
  
-//Table 2: National means of N excretions and TAN contents (updated numbers for N exctration of horses!)//+//Table 2: National means of N excretions and TAN contents//
  
 ^                                            ^  1990  ^  1995  ^  2000  ^  2005  ^  2010  ^  2011  ^  2012  ^  2013  ^  2014  ^  2015  ^  2016  ^  2017  ^  2018  ^  2019  ^ ^                                            ^  1990  ^  1995  ^  2000  ^  2005  ^  2010  ^  2011  ^  2012  ^  2013  ^  2014  ^  2015  ^  2016  ^  2017  ^  2018  ^  2019  ^
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 ^ geese                                      |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 | ^ geese                                      |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |
  
-**N mass flow and emission assessment**+== N mass flow and emission assessment == 
 +The calculation of the emissions of NH<sub>3</sub>, N<sub>2</sub>O, NO<sub>x</sub> and N<sub>2</sub> from German animal husbandry is based on the so-called N mass flow approach (e. g. Dämmgen and Hutchings, 2008 ((Dämmgen U., Hutchings N.J. (2008): Emissions of gaseous nitrogen species from manure management - a new approach. Environmental Pollution 154, 488-497.))). 
 +This approach differentiates between N excreted with faeces (organic nitrogen Norg, i. e. undigested feed N) and urine (total ammoniacal nitrogen TAN, i. e. fraction of feed N metabolized). The N flow within the manure management system is treated as depicted in the figure below. This method reconciles the requirements of both the Atmospheric Emission Inventory Guidebook for NH<sub>3</sub> emissions (EMEP, 2019), and the IPCC guidelines for greenhouse gas emissions (IPCC (2006)((IPCC – Intergovernmental Panel on Climate Change (2006): IPCC Guidelines for National Greenhouse Gas Inventories, Volume 4 Agriculture, Forestry and Other Land Use.)). Reidy et al. (2008),((Reidy B. et al. (2008): Reidy B., Dämmgen U., Döhler H., Eurich-Menden B., Hutchings N.J., Luesink H.H., Menzi H., Misselbrook T.H., Monteny G.-J., Webb J. (2008): Comparison of models used for the calculation of national NH3 emission inventories from agriculture: liquid manure systems. Atmospheric Environment 42, 3452-3467.)), showed for several European countries (Germany, the Netherlands, Switzerland, United Kingdom) that their N-flow based inventory models yielded, in spite of national peculiarities, comparable results as long as standardised data sets for the input variables were used.
  
-The calculation of the emissions of NH<sub>3</sub>, N<sub>2</sub>O, NO<sub>x</sub> and N2 from German animal husbandry is based on the so-called N mass flow approach (e. g. Dämmgen and Hutchings, 2008, [3]). +Not explicitly shown in the N mass flow scheme is air scrubbing in housing and anaerobic digestion of manureThese issues are separately described further below. Note that emissions from grazing and application are reported in sector 3.D.
-This approach differentiates between N excreted with faeces (organic nitrogen Norg, i. e. undigested feed N) and urine (total ammoniacal nitrogen TAN, i. e. fraction of feed N metabolized)The N flow within the manure management system is treated as depicted in the figure below. This method reconciles the requirements of both the Atmospheric Emission Inventory Guidebook for NH<sub>3</sub> emissions (EMEP, 2016) [10], and the IPCC guidelines for greenhouse gas emissions (IPCC (2006) [4]))Reidy et al. (2008),[2])), showed for several European countries (Germany, the Netherlands, Switzerland, United Kingdom) that their N-flow based inventory models yielded, in spite of national peculiarities, comparable results as long as standardised data sets for the input variables were used.+
  
-Not explicitly shown in the N mass flow scheme is air scrubbing in housing and anaerobic digestion of manure. These issues are separately described farther below. Note that emissions from grazing and application are reported in sector 3.D. +{{:sector:agriculture:manure_management:n-flow-abbildung_aus_tr_77.png?600|}}
- +
-N_flow_model.jpg+
  
 //General scheme of N flows in animal husbandry// //General scheme of N flows in animal husbandry//
  
-m: mass from which emissions may occur. Narrow broken arrows: TAN (total ammoniacal nitrogen); narrow continuous arrows: organic N. The horizontal arrows denote the process of immobilisation in systems with bedding occurring in the house, and the process of mineralisation during storage, which occurs in any case. Broad arrows denote N-emissions assigned to manure management (Eyard NH3 emissions from yards; Ehouse NH3 emissions from house; Estorage NH<sub>3</sub>, N<sub>2</sub>O, NO<sub>x</sub> and N2 emissions from storage; Eapplic NH<sub>3</sub> emissions during and after spreading; Egraz NH<sub>3</sub>, N<sub>2</sub>O, NO<sub>x</sub> and N2 emissions during and after grazing; Esoil N<sub>2</sub>O, NO<sub>x</sub> and N2 emissions from soil resulting from manure input).+//m: mass from which emissions may occur. Narrow broken arrows: TAN (total ammoniacal nitrogen); narrow continuous arrows: organic N. The horizontal arrows denote the process of immobilisation in systems with bedding occurring in the house, and the process of mineralisation during storage, which occurs in any case. Broad arrows denote N-emissions assigned to manure management (E<sub>yard</sub> NH<sub>3</sub> emissions from yards; E<sub>house</sub> NH<sub>3</sub> emissions from house; E<sub>storage</sub> NH<sub>3</sub>, N<sub>2</sub>O, NO<sub>x</sub> and N<sub>2</sub> emissions from storage; E<sub>applic</sub> NH<sub>3</sub> emissions during and after spreading; E<sub>graz</sub> NH<sub>3</sub>, N<sub>2</sub>O, NO<sub>x</sub> and N<sub>2</sub> emissions during and after grazing; E<sub>soil</sub> N<sub>2</sub>O, NO<sub>x</sub> and N<sub>2</sub> emissions from soil resulting from manure input).//
  
-The figure allows tracing of the pathways of the two N fractions after excretion. The various locations where excretion may take place are considered. The partial mass flows down to the input to soil are depicted. During storage Norg can be transformed into TAN and vice versa. Both, the way and the amount of such transformations may be influenced by manure treatment processes like, e. g., anaerobic digestion where a considerable fraction of Norg is mineralized to TAN. For details see Haenel et al. (2020), Chapters 3.3.4.3 and 3.3.4.4 [1]. Wherever NH<sub>3</sub> is emitted, its formation is related to the amount of the TAN present. For poultry the excretion of uric acid nitrogen (UAN) should be used instead of TAN (see Dämmgen and Erisman, 2005, [5]). In line with EMEP (2016[10], it is assumed that UAN excreted can be considered TAN. N<sub>2</sub>O emissions are related to the total amount of N available (Norg + TAN). NO<sub>x</sub> emissions (i. e. NO emissions) are calculated proportionally to the N<sub>2</sub>O emissions, see section 'Emission factors'. Note that the N<sub>2</sub>O, NO<sub>x</sub> and N2 emissions from the various storage systems include the respective emissions from the related housing systems.+The figure allows tracing of the pathways of the two N fractions after excretion. The various locations where excretion may take place are considered. The partial mass flows down to the input to soil are depicted. During storage Norg can be transformed into TAN and vice versa. Both, the way and the amount of such transformations may be influenced by manure treatment processes like, e. g., anaerobic digestion where a considerable fraction of Norg is mineralized to TAN. For details see Rösemann et al. (2021), Chapters 3.3.4.3 and 3.3.4.4. Wherever NH<sub>3</sub> is emitted, its formation is related to the amount of the TAN present. For poultry the excretion of uric acid nitrogen (UAN) should be used instead of TAN (see Dämmgen and Erisman, 2005 ((Dämmgen U.Erisman J.W. (2005): Emission, transmission, deposition and environmental effects of ammonia from agricultural sources. In: Kuczyński T., Dämmgen U., Webb J., Myczko (eds) Emissions from European Agriculture. Wageningen Academic Publishers, Wageningen. pp 97-112.))). In line with EMEP (2019), it is assumed that UAN excreted can be considered TAN. N<sub>2</sub>O emissions are related to the total amount of N available (Norg + TAN). NO<sub>x</sub> emissions (i. e. NO emissions) are calculated proportionally to the N<sub>2</sub>O emissions, see section 'Emission factors'. Note that the N<sub>2</sub>O, NO<sub>x</sub> and N2 emissions from the various storage systems include the respective emissions from the related housing systems.
  
-**Air scrubber systems in swine and poultry housings**+== Air scrubber systems in swine and poultry housings == 
 +For pig and poultry production the inventory considers the effect of air scrubbing. Data on frequencies of air scrubbing facilities and the removal efficiency are provided by KTBL (Kuratorium für Technik und Bauwesen in der Landwirtschaft / Association for Technology and Structures in Agriculture). The average removal efficiency of NH<sub>3</sub> is 80 % for swine and 70 % for poultry, while for TSP and PM<sub>10</sub> the rates are set to 90 % and for PM<sub>2.5</sub> to 70 % for both animal categories. For swine two types of air scrubbers are distinguished: certified systems that remove both NH<sub>3</sub> and particles, and non-certified systems that remove only particles.
  
-For pig and poultry production the inventory considers the effect of air scrubbingData on frequencies of air scrubbing facilities and the removal efficiency are provided by KTBL (Kuratorium für Technik und Bauwesen in der Landwirtschaft / Association for Technology and Structures in Agriculture)The average removal efficiency of NH<sub>3</sub> is xx80 % for swine and xx70 % for poultry, while for TSP and PM<sub>10</sub> the rates are set to xx90 % and for PM<sub>2.5</sub> to xx70 % for both animal categoriesFor swinefor the first time, two types of air scrubbers are distinguished: certified systems that remove both NH<sub>3</sub> and particles, and non-certified systems that remove only particles.+According to the KTBL data, 7.3 % of all pig places were equipped with certified systems in 2019, another 0.7 % were equipped with non-certified systems. For poultry 0.6 % of all laying hen places and 1.5 % of all broiler places were equipped with air scrubbers that remove both NH<sub>3</sub> and particles. 
 +The amounts of NH<sub>3</sub>-N removed by air scrubbing are completely added to the pools of total N and TAN for landspreadingFor details see Rösemann et al(2021)Chapter 3.3.4.3.3.
  
-According to the KTBL data, xx6.6 % of all pig places were equipped with certified systems in 2019, another xx0.7 % were equipped with non-certified systems. For poultry xx0.2 % of all laying hen places and xx0.9 % of all broiler places were equipped with air scrubbers that remove both NH<sub>3</sub> and particles. +== Anaerobic digestion of manure == 
-The amounts of NH<sub>3</sub>-N removed by air scrubbing are completely added to the pools of total N and TAN for landspreading. For details see Haenel et al. (2020), Chapter 3.3.4.3.3 [1]). +According to IPCC (2006), anaerobic digestion of manure is treated like a particular storage type that, however, comprises three sub-compartments (pre-storage, fermenter and storage of digestates). For details see Rösemann et al. (2021), Chapters 3.3.4.4 and 3.4.4.2. The resulting digestates are considered as liquid. Two different types of digestates storage systems are considered: gastight storage and open tank. For the open tank formation of a natural crust because of the usual co-fermentation of energy crops is taken into account. Furthermore, the modelling of anaerobic digestion and spreading of the digestates takes into account that the amount of TAN in the digestates is higher than in untreated slurry and that the frequencies of spreading techniques differ from those for untreated slurry.
- +
-**Anaerobic digestion of manure** +
- +
-According to IPCC (2006) [4], anaerobic digestion of manure is treated like a particular storage type that, however, comprises three sub-compartments (pre-storage, fermenter and storage of digestates). For details see Haenel et al. (2020), Chapters 3.3.4.4 and 3.4.4.2 [1]). The resulting digestates are considered as liquid. Two different types of digestates storage systems are considered: gastight storage and open tank. For the open tank formation of a natural crust because of the usual co-fermentation of energy crops is taken into account. Furthermore, the modelling of anaerobic digestion and spreading of the digestates takes into account that the amount of TAN in the digestates is higher than in untreated slurry and that the frequencies of spreading techniques differ from those for untreated slurry.+
  
 NH<sub>3</sub> and NO emissions occur from pre-storage of solid manure, from non-gastight storage of digestates and from landspreading of digestates (NH<sub>3</sub> emissions and NO emissions from landspreading of digested manure are reported in 3.Da.2.a). There are no such emissions from pre-storage of slurry, from the fermenter and from gastight storage of digestates. Note that NH<sub>3</sub> and NO emissions calculated with respect to the digestion of animal manures do not comprise the contributions by co-digested energy crops. The latter are dealt with separately in 3.D.a.2.c and 3.I. NH<sub>3</sub> and NO emissions occur from pre-storage of solid manure, from non-gastight storage of digestates and from landspreading of digestates (NH<sub>3</sub> emissions and NO emissions from landspreading of digested manure are reported in 3.Da.2.a). There are no such emissions from pre-storage of slurry, from the fermenter and from gastight storage of digestates. Note that NH<sub>3</sub> and NO emissions calculated with respect to the digestion of animal manures do not comprise the contributions by co-digested energy crops. The latter are dealt with separately in 3.D.a.2.c and 3.I.
  
-**Emission Factors** +== Emission Factors == 
- +Application of the N mass flow approach requires detailed emission factors for NH<sub>3</sub>, N<sub>2</sub>O, NO<sub>x</sub> and N<sub>2</sub> describing the emissions from the various housing and storage systems.
-Application of the N mass flow approach requires detailed emission factors for NH<sub>3</sub>, N<sub>2</sub>O, NO<sub>x</sub> and N2 describing the emissions from the various housing and storage systems.+
  
-The detailed NH<sub>3</sub> emission factors are, in general, related to the amount of TAN available at the various stages of the N flow chain. The emission factors for laying hens, broilers, pullets, ducks and turkeys are related to N. Most NH<sub>3</sub> emission factors are country specific but some are taken from EMEP (2016[10]. No specific NH<sub>3</sub> emission factors are known for the application of digested manure. However, due to co-fermentation of energy crops, the viscosity of digested manure resembles that of untreated cattle slurry. Hence, the emission factors for untreated cattle slurry are adopted for the application of digested manure. +The detailed NH<sub>3</sub> emission factors are, in general, related to the amount of TAN available at the various stages of the N flow chain. The emission factors for laying hens, broilers, pullets, ducks and turkeys are related to N. Most NH<sub>3</sub> emission factors are country specific but some are taken from EMEP (2019). No specific NH<sub>3</sub> emission factors are known for the application of digested manure. However, due to co-fermentation of energy crops, the viscosity of digested manure resembles that of untreated cattle slurry. Hence, the emission factors for untreated cattle slurry are adopted for the application of digested manure. 
-For the detailed emission factors of livestock husbandry see Haenel et al. (2020), Chapters 4 to 8; for emission factors of digested manure see Haenel et al. (2020), Chapter 3.4.4.2.4 [1]. Table 3 provides, by animal category, the implied NH3 emission factors for manure management (housing and storage). The overall German NH3 IEF for manure application is reported in section 3.D.a.2.a.+For the detailed emission factors of livestock husbandry see Rösemann et al. (2021), Chapters 4 to 8; for emission factors of digested manure see Rösemann et al. (2021), Chapter 3.4.4.2.4. Table 3 provides, by animal category, the implied NH<sub>3</sub> emission factors for manure management (housing and storage). The overall German NH<sub>3</sub> IEF for manure application is reported in section 3.D.a.2.a.
  
-The detailed emission factors for N<sub>2</sub>O, NO<sub>x</sub> and N2 relate to the amount of N available which is N excreted plus, in case of solid manure systems, N input with bedding material. The N<sub>2</sub>O emission factors are taken from IPCC (2006) [4]. The emission factors for NO<sub>x</sub> and N2 are approximated as being proportional to the N2O emission factors, i. e. the NO-N and N2 emission factors are, respectively, one-tenth and three times the value of the N2O-N emission factor, see Haenel et al. (2020), chapter 3.3.4.3.5 [1]. This proportionality is also applied to anaerobic digestion of manure, where N<sub>2</sub>O emissions occur from pre-storage of solid manure and non-gastight storage of digestates with the emission factors being those used for normal storage of solid manure and the storage of untreated slurry with natural crust provided by IPCC (2006) [4]. Note that the inventory model calculates NO rather than NOx. The conversion of NO emissions into NOx emissions is achieved by multiplying the NO emissions with the NO<sub>x</sub>/ NO molar weight ratio of 46/30. This relationship also holds for NO and NO<sub>x</sub> emission factors.+The detailed emission factors for N<sub>2</sub>O, NO<sub>x</sub> and N<sub>2</sub> relate to the amount of N available which is N excreted plus, in case of solid manure systems, N input with bedding material. The N<sub>2</sub>O emission factors are taken from IPCC (2006). The emission factors for NO<sub>x</sub> and N<sub>2</sub> are approximated as being proportional to the N<sub>2</sub>emission factors, i. e. the NO-N and N<sub>2</sub> emission factors are, respectively, one-tenth and three times the value of the N<sub>2</sub>O-N emission factor, see Rösemann et al. (2021), chapter 3.3.4.3.5. This proportionality is also applied to anaerobic digestion of manure, where N<sub>2</sub>O emissions occur from pre-storage of solid manure and non-gastight storage of digestates with the emission factors being those used for normal storage of solid manure and the storage of untreated slurry with natural crust provided by IPCC (2006). Note that the inventory model calculates NO rather than NOx. The conversion of NO emissions into NO<sub>x</sub> emissions is achieved by multiplying the NO emissions with the NO<sub>x</sub>/ NO molar weight ratio of 46/30. This relationship also holds for NO and NO<sub>x</sub> emission factors.
  
-All NO<sub>x</sub> emissions from the agricultural sector are excluded from emission accounting by adjustment as they are not considered in the NEC and Gothenburg commitments.+All NO<sub>x</sub> emissions from the agricultural sector are excluded from emission accounting by [[general:adjustments:adjustment_de-c|adjustment]] as they are not considered in the NEC and Gothenburg commitments.
  
 Table 3 shows the implied emission factors of NH<sub>3</sub> and NO<sub>x</sub> for the various animal categories. These emission factors normalize emissions from an animal category as the ratio of the total emission to the respective number of animals. Table 3 shows the implied emission factors of NH<sub>3</sub> and NO<sub>x</sub> for the various animal categories. These emission factors normalize emissions from an animal category as the ratio of the total emission to the respective number of animals.
  
 //Table 3: IEF for NH<sub>3</sub> & NO<sub>x</sub> from manure management// //Table 3: IEF for NH<sub>3</sub> & NO<sub>x</sub> from manure management//
 +|                                  ^  1990    ^  1995    ^  2000    ^  2005    ^  2010    ^  2011    ^  2012    ^  2013    ^  2014    ^  2015    ^  2016    ^  2017    ^  2018    ^  2019    ^
 +^  IEF in kg NH₃ per animal place                                                                                                                                              |||||||||||||||
 +^ dairy cattle                          9.8 |     10.4 |     11.1 |     12.1 |     12.6 |     12.5 |     12.4 |     12.3 |     12.2 |     12.3 |     12.4 |     12.3 |     12.4 |     12.6 |
 +^ other cattle                          7.0 |      7.4 |      7.7 |      8.2 |      8.4 |      8.4 |      8.3 |      8.3 |      8.3 |      8.4 |      8.4 |      8.4 |      8.4 |      8.5 |
 +^ horses                               13.5 |     13.5 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |
 +^ sheep                            |     0.83 |     0.82 |     0.84 |     0.83 |     0.84 |     0.83 |     0.83 |     0.83 |     0.83 |     0.83 |     0.83 |     0.83 |     0.82 |     0.83 |
 +^ goats                            |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |
 +^ swine                            |     4.42 |     4.41 |     4.37 |     4.32 |     4.19 |     4.15 |     4.12 |     4.12 |     4.11 |     4.09 |     4.10 |     4.10 |     4.11 |     4.10 |
 +^ laying hens                      |    0.214 |    0.203 |    0.203 |    0.200 |    0.142 |    0.144 |    0.144 |    0.145 |    0.145 |    0.145 |    0.146 |    0.146 |    0.147 |    0.147 |
 +^ broilers                            0.143 |    0.131 |    0.141 |    0.144 |    0.148 |    0.140 |    0.126 |    0.116 |    0.122 |    0.126 |    0.128 |    0.130 |    0.133 |    0.131 |
 +^ turkeys                          |    0.788 |    0.788 |    0.792 |    0.869 |    0.831 |    0.835 |    0.888 |    0.858 |    0.857 |    0.856 |    0.857 |    0.857 |    0.859 |    0.859 |
 +^ pullets                          |    0.108 |    0.096 |    0.088 |    0.087 |    0.082 |    0.081 |    0.081 |    0.079 |    0.079 |    0.079 |    0.079 |    0.080 |    0.080 |    0.080 |
 +^ ducks                            |    0.193 |    0.193 |    0.193 |    0.192 |    0.190 |    0.189 |    0.188 |    0.187 |    0.186 |    0.186 |    0.186 |    0.186 |    0.186 |    0.186 |
 +^ geese                            |    0.301 |    0.301 |    0.301 |    0.300 |    0.298 |    0.298 |    0.298 |    0.297 |    0.297 |    0.297 |    0.297 |    0.297 |    0.297 |    0.297 |
 +^  IEF in kg NOₓ per animal place                                                                                                                                              |||||||||||||||
 +^ dairy cattle                        0.106 |    0.114 |    0.125 |    0.130 |    0.125 |    0.122 |    0.118 |    0.115 |    0.115 |    0.116 |    0.117 |    0.117 |    0.119 |    0.122 |
 +^ other cattle                        0.053 |    0.058 |    0.060 |    0.064 |    0.065 |    0.064 |    0.064 |    0.063 |    0.063 |    0.063 |    0.063 |    0.063 |    0.063 |    0.064 |
 +^ horses                              0.084 |    0.084 |    0.086 |    0.086 |    0.085 |    0.085 |    0.085 |    0.085 |    0.085 |    0.085 |    0.085 |    0.086 |    0.086 |    0.086 |
 +^ sheep                            |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |
 +^ goats                            |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |
 +^ swine                            |    0.010 |    0.012 |    0.012 |    0.014 |    0.016 |    0.016 |    0.015 |    0.015 |    0.015 |    0.015 |    0.015 |    0.015 |    0.015 |    0.015 |
 +^ laying hens                      |  0.00027 |  0.00026 |  0.00026 |  0.00029 |  0.00035 |  0.00035 |  0.00034 |  0.00034 |  0.00033 |  0.00034 |  0.00034 |  0.00033 |  0.00033 |  0.00033 |
 +^ broilers                          0.00016 |  0.00015 |  0.00016 |  0.00019 |  0.00022 |  0.00021 |  0.00018 |  0.00017 |  0.00018 |  0.00019 |  0.00019 |  0.00019 |  0.00019 |  0.00019 |
 +^ turkeys                          |  0.00067 |  0.00067 |  0.00070 |  0.00083 |  0.00090 |  0.00090 |  0.00091 |  0.00089 |  0.00089 |  0.00089 |  0.00088 |  0.00088 |  0.00087 |  0.00087 |
 +^ pullets                          |  0.00011 |  0.00010 |  0.00009 |  0.00010 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |
 +^ ducks                            |  0.00024 |  0.00024 |  0.00024 |  0.00025 |  0.00027 |  0.00027 |  0.00026 |  0.00027 |  0.00026 |  0.00027 |  0.00027 |  0.00026 |  0.00026 |  0.00026 |
 +^ geese                            |  0.00018 |  0.00018 |  0.00019 |  0.00021 |  0.00023 |  0.00023 |  0.00021 |  0.00022 |  0.00021 |  0.00022 |  0.00022 |  0.00021 |  0.00021 |  0.00021 |
  
-2020_3B_Table_3.PNG +== Trend discussion for Key Sources ==
- +
-**Trend discussion for Key Sources** +
 Dairy cattle, other cattle and swine are key sources of NH<sub>3</sub> emissions from manure management. The time series of the total NH<sub>3</sub> emissions from all three categories are predominantly driven by the development of the animal numbers, see Table 1. This also holds for the negative trend of total emissions in the last few years. However, the effect of decreasing animal numbers is partly compensated by the continuously increasing animal performance. This leads to increasing N excretions per animal, see Table 2, which, in principle, is reflected by increasing implied emission factors, see Table 3. For swine, as of 2012, the IEF is almost constant over time due to the use of air scrubbing systems that, to a high degree, remove NH<sub>3</sub> from the housings. Dairy cattle, other cattle and swine are key sources of NH<sub>3</sub> emissions from manure management. The time series of the total NH<sub>3</sub> emissions from all three categories are predominantly driven by the development of the animal numbers, see Table 1. This also holds for the negative trend of total emissions in the last few years. However, the effect of decreasing animal numbers is partly compensated by the continuously increasing animal performance. This leads to increasing N excretions per animal, see Table 2, which, in principle, is reflected by increasing implied emission factors, see Table 3. For swine, as of 2012, the IEF is almost constant over time due to the use of air scrubbing systems that, to a high degree, remove NH<sub>3</sub> from the housings.
  
 For NO<sub>x</sub> there are no key categories. For NO<sub>x</sub> there are no key categories.
  
-**Recalculations**+== Recalculations == 
 +All time series of the emission inventory have completely been recalculated since 1990. Tables REC-1 and REC-2 compare the recalculated time series for NH<sub>3</sub>  and NO<sub>x</sub> from 3B with the respective data of last year’s submission. The total emissions of NH<sub>3</sub>  and NO<sub>x</sub> are significantly lower than those of submission 2020.  
 +This is predominantly due to the update of the models of dairy cows, calves, heifers and male beef cattle, see main page of the agricultural sector ([[sector:agriculture:start|Chapter 5 - NFR 3 - Agriculture (OVERVIEW)]]), list of **recalculation reasons, No. 1 through 4, and 12**
  
-All time series of the emission inventory have completely been recalculated since 1990. Tables REC-1 and REC-2 compare the recalculated time series for NH<sub>3</sub> and NO<sub>x</sub> from 3B with the respective data of last year’s submission. The overall recalculation effects are small. The biggest impact is from the update of the N excretions of suckler cows (recalculation No 4see main page of the agricultural sector (https://iir-de-2020.wikidot.com/3-agriculture)) and pullets (No 10). Further details on recalculations are described in Haenel et al. (2020), Chapter 3.5.2. [1].+The NH<sub>3</sub>  and NO<sub>x</sub> emissions from pig changed only slightly; the reasons are given in the list of **recalculation reasons (No. 6 through 8, and 12)**
  
-//Tables REC-1 and REC-2: Comparison of the NH<sub>3</sub> and NO<sub>x</sub> emissions of the submissions (SUB) 2020 and 2021//+The NH<sub>3</sub>  emissions from poultry are higher than those reported in submission 2020 for all years of the time series, while NO<sub>x</sub> emissions differ only slightly. The underlying changes in poultry emission calculations are provided in the **recalculation reasons, No. 9 through 11, and 12**. 
  
 +The overall NH<sub>3</sub> emissions of other animals increased for all years of the time series due to the update of the NH<sub>3</sub>  emission factor for sheep manure storage, see **recalculations reasons No. 9** [[sector:agriculture:start|Chapter 5 - NFR 3 - Agriculture (OVERVIEW)]]. 
 +Further details on recalculations are described in Rösemann et al. (2021), Chapter 3.5.2..
  
-2020_3B_Table_4_Rekal.PNG 
-2020_3B_Table_5_Rekal.PNG 
  
-//Planned improvements//+//Tables REC-1 and REC-2: Comparison of the NH<sub>3</sub> and NO<sub>x</sub> emissions of the submissions (SUB) 2020 and 2021//
  
-No improvements are planned at present.+^  NH₃ emissions from manure management, in Gg                                                                                                                                        |||||||||||||||| 
 +|                                                SUB    1990    1995    2000    2005    2010    2011    2012    2013    2014    2015    2016    2017    2018    2019   ^ 
 +^ Total                                          2021  |  303.26 |  256.08 |  256.91 |  257.32 |  252.88 |  253.17 |  257.21 |  258.42 |  260.03 |  256.36 |  253.73 |  252.85 |  247.20 |  243.31 | 
 +^                                                2020  |  325.60 |  275.30 |  276.21 |  276.48 |  271.11 |  271.43 |  275.70 |  277.31 |  279.59 |  276.30 |  273.98 |  272.83 |  267.01 |         | 
 +^ Dairy cattle                                  ^  2021  |   62.19 |   54.13 |   50.81 |   51.28 |   52.71 |   52.44 |   51.86 |   52.30 |   52.48 |   52.72 |   52.10 |   51.64 |   50.74 |   50.40 | 
 +^                                                2020  |   75.05 |   65.57 |   61.87 |   62.48 |   64.19 |   64.22 |   63.79 |   64.44 |   65.29 |   65.88 |   65.43 |   64.96 |   64.24 |         | 
 +^ Other cattle                                  ^  2021  |   91.39 |   78.88 |   76.79 |   71.73 |   72.48 |   69.75 |   69.39 |   70.26 |   70.48 |   69.85 |   68.90 |   67.62 |   65.85 |   64.47 | 
 +^                                                2020  |  101.28 |   87.37 |   86.15 |   81.09 |   80.84 |   77.90 |   77.51 |   78.51 |   78.74 |   78.14 |   77.24 |   75.69 |   73.74 |         | 
 +^ Swine                                          2021  |  117.12 |   89.92 |   95.08 |   98.23 |   93.21 |   94.56 |   97.47 |   96.29 |   97.28 |   94.06 |   93.26 |   93.92 |   90.54 |   88.50 | 
 +^                                                2020  |  117.12 |   89.92 |   95.08 |   98.23 |   93.21 |   94.58 |   97.51 |   96.36 |   97.37 |   94.17 |   93.40 |   94.09 |   90.63 |         | 
 +^ poultry                                        2021  |   22.96 |   21.99 |   24.87 |   26.65 |   26.06 |   28.23 |   30.34 |   31.50 |   31.80 |   31.84 |   31.68 |   31.95 |   32.45 |   32.43 | 
 +^                                                2020  |   22.71 |   21.41 |   23.86 |   25.36 |   24.55 |   26.63 |   28.81 |   30.02 |   30.27 |   30.31 |   30.21 |   30.46 |   30.87 |         | 
 +^ Other animals                                  2021  |    9.59 |   11.16 |    9.37 |    9.43 |    8.43 |    8.18 |    8.16 |    8.07 |    8.00 |    7.89 |    7.79 |    7.72 |    7.62 |    7.51 | 
 +^                                                2020  |    9.44 |   11.02 |    9.25 |    9.31 |    8.33 |    8.09 |    8.07 |    7.98 |    7.91 |    7.80 |    7.71 |    7.64 |    7.53 |         |
  
-===== NMVOC =====+^  NOₓ emissions from manure management, in Gg                                                                                                                          |||||||||||||||| 
 +^                                                SUB    1990  ^  1995  ^  2000  ^  2005  ^  2010  ^  2011  ^  2012  ^  2013  ^  2014  ^  2015  ^  2016  ^  2017  ^  2018  ^  2019  ^ 
 +^ Total                                          2021  |  1.720 |  1.551 |  1.523 |  1.534 |  1.529 |  1.502 |  1.480 |  1.475 |  1.482 |  1.465 |  1.455 |  1.444 |  1.418 |  1.401 | 
 +^                                                2020  |  1.863 |  1.674 |  1.639 |  1.644 |  1.632 |  1.604 |  1.582 |  1.579 |  1.588 |  1.572 |  1.562 |  1.548 |  1.519 |        | 
 +^ Dairy cattle                                  ^  2021  |  0.671 |  0.597 |  0.570 |  0.552 |  0.521 |  0.513 |  0.495 |  0.491 |  0.493 |  0.495 |  0.494 |  0.489 |  0.488 |  0.489 | 
 +^                                                2020  |  0.722 |  0.640 |  0.601 |  0.580 |  0.549 |  0.541 |  0.523 |  0.521 |  0.525 |  0.528 |  0.527 |  0.522 |  0.520 |        | 
 +^ Other cattle                                  ^  2021  |  0.696 |  0.614 |  0.600 |  0.566 |  0.562 |  0.538 |  0.529 |  0.532 |  0.532 |  0.526 |  0.519 |  0.509 |  0.497 |  0.487 | 
 +^                                                2020  |  0.788 |  0.695 |  0.685 |  0.649 |  0.637 |  0.611 |  0.602 |  0.606 |  0.606 |  0.601 |  0.593 |  0.581 |  0.566 |        | 
 +^ Swine                                          2021  |  0.264 |  0.242 |  0.263 |  0.322 |  0.351 |  0.355 |  0.359 |  0.353 |  0.357 |  0.344 |  0.343 |  0.346 |  0.335 |  0.328 | 
 +^                                                2020  |  0.264 |  0.242 |  0.263 |  0.322 |  0.351 |  0.355 |  0.359 |  0.353 |  0.357 |  0.344 |  0.343 |  0.346 |  0.334 |        | 
 +^ poultry                                        2021  |  0.026 |  0.024 |  0.028 |  0.033 |  0.040 |  0.043 |  0.045 |  0.047 |  0.048 |  0.048 |  0.048 |  0.048 |  0.049 |  0.049 | 
 +^                                                2020  |  0.026 |  0.024 |  0.028 |  0.033 |  0.040 |  0.043 |  0.045 |  0.047 |  0.048 |  0.048 |  0.048 |  0.048 |  0.049 |        | 
 +^ Other animals                                  2021  |  0.063 |  0.073 |  0.062 |  0.062 |  0.055 |  0.053 |  0.053 |  0.053 |  0.052 |  0.051 |  0.051 |  0.050 |  0.050 |  0.049 | 
 +^                                                2020  |  0.063 |  0.073 |  0.062 |  0.062 |  0.055 |  0.053 |  0.053 |  0.053 |  0.052 |  0.051 |  0.051 |  0.050 |  0.050 |        |
  
  
-In 2019, NMVOC emissions from manure management amount to xx316.5 which is xx97.6 % of total NMVOC emissions from the agricultural sector. xx85.7 % originate from cattle, xx4.5 % from pigs, and xx8.7 % from poultry. +== Planned improvements == 
-All NMVOC emissions from the agricultural sector are excluded from emission accounting by adjustment as they are not considered in the NEC and Gothenburg commitments (see Chapter 11 - Adjustments and Emissions Reduction Commitments).+No improvements are planned at present.
  
  
-**Method**+===== NMVOC ===== 
 +In 2019, NMVOC emissions from manure management amount to 295.8 which is 97.2 % of total NMVOC emissions from the agricultural sector. 84.8 % originate from cattle, 4.7 % from pigs, and 9.4 % from poultry. 
 +All NMVOC emissions from the agricultural sector are excluded from emission accounting by adjustment as they are not considered in the NEC and Gothenburg commitments (see Chapter 11 - [[general:adjustments:adjustment_de-c|Adjustments and Emissions Reduction Commitments]]).
  
-The Tier 2 methodology provided by EMEP (2016)-3B-25 [10] was used to assess the NMVOC emissions from manure management for dairy cattle and other cattle. For all other animals the Tier 1 methodology (EMEP (2016)-3B-17 [10]) was used. 
  
-** Activity data**+==== Method ==== 
 +The Tier 2 methodology provided by EMEP (2019)-3B-28 was used to assess the NMVOC emissions from manure management for dairy cattle and other cattle. For all other animals the Tier 1 methodology (EMEP (2019)-3B-17) was used.
  
 +=== Activity data ===
 Animal numbers serve as activity data, see Table 1. Animal numbers serve as activity data, see Table 1.
  
-**Emission factors** +=== Emission factors ===
 For the Tier 2 methodology applied to dairy cattle and other cattle the following data was used: For the Tier 2 methodology applied to dairy cattle and other cattle the following data was used:
 +   * gross feed intake in MJ per year, country specific data from the annual reporting of greenhouse gas emissions, see NIR 2021, Chapter 5.1.3.3,
 +   * proportion x<sub>house</sub> of the year the animals spend in the livestock building: country specific data, being equal to 1 – x<sub>graz</sub> with x<sub>graz</sub> the proportion of the year spent on pasture, see NIR 2021, Chapter 19.3.2,
 +   * FRAC<sub>silage</sub>: 1 as proposed by EMEP (2019)-3B-29, since silage feeding for cattle is considered dominant in Germany
 +   * FRAC<sub>silage store</sub>: 0.25 as proposed by EMEP (2019)-3B-30 for European conditions
 +   * EF<sub>NMVOC, silage_feeding</sub>, EF<sub>NMVOC, house</sub>, EF<sub>NMVOC, graz</sub> are taken from EMEP (2019)-3B-32, table 3.11 as 0.0002002, 0.0000353 and 0.0000069 kg NMVOC/MJ feed intake, respectively,
 +   * EF<sub>NH₃,storage</sub>, EF<sub>NH₃,building</sub> and EF<sub>NH₃,application<sub> are taken from the NH<sub>3</sub> reporting (see above and 3.D).
  
-   * gross feed intake in MJ per year, country specific data from the annual reporting of greenhouse gas emissions, see NIR 2020, Chapter 5.1.3.3, +For all other animal categories the Tier 1 emission factors for NMVOC as provided in EMEP (2019)-3B-18, Table 3.4 [10] were used: For horses the emission factors for feeding with silage was chosen, for all other animals the emission factors for feeding without silage. Due to missing country-specific emission factors or emission factors that do not correspond to the inventory’s animal categories, the emission factors provided in EMEP (2019)-3B-18, Table 3.4, were used to define specific emission factors for weaners, boars, lambs, ponies/light horses and pullets, see Rösemann et al. (2021), Chapter 3.3.4.2. 
-   * proportion x house of the year the animals spend in the livestock building: country specific data, being equal to 1 – xgraz with xgraz the proportion of the year spent on pasture, see NIR 2020, Chapter 19.3.2, +The implied emission factors given in Table 4 relate the overall NMVOC emissions to the number of animals in each animal category. The IEFs for dairy cattle and other cattle are are much higher than the EMEP Tier 1 EF, which are 17.937 kg NMVOC for dairy cattle and 8.902 kg NMVOC for other cattle. The only possible explanation for those huge differences is that the EMEP Tier 2 and Tier 1 methods are not consistent.
-   * FRACsilage 1 as proposed by EMEP (2016)-3B-27 [10], since silage feeding for cattle is considered dominant in Germany +
-   * FRACsilage store: 0.25 as proposed by EMEP (2016)-3B-28 [10] for European conditions +
-   * EFNMVOC silage_feeding, EFNMVOC, house, EFNMVOC, graz are taken from EMEP (2016)-3B-30, table 3.11 [10] as 0.0002002, 0.0000353 and 0.0000069 kg NMVOC/MJ feed intake, respectively, +
-   * EFNH3,storage, EFNH3,building, and EFNH3,application are taken from the NH3 reporting (see above and 3.D). +
- +
-For all other animal categories the Tier 1 emission factors for NMVOC as provided in EMEP (2016)-3B-18, Table 3.4 [10] were used: For horses the emission factors for feeding with silage was chosen, for all other animals the emission factors for feeding without silage. Due to missing country-specific emission factors or emission factors that do not correspond to the inventory’s animal categories, the emission factors provided in EMEP (2016)-3B-18, Table 3.4, were used to define specific emission factors for weaners, boars, lambs, ponies/light horses and pullets, see Haenel et al. (2020), Chapter 3.3.4.2 [1]+
-The implied emission factors given in Table 4 relate the overall NMVOC emissions to the number of animals in each animal category. The IEFs for dairy cattle and other cattle are identical to the EMEP Tier 2 EF and are much higher than the EMEP Tier 1 EF, which are 17.937 kg NMVOC for dairy cattle and 8.902 kg NMVOC for other cattle. The only possible explanation for those huge differences is that the EMEP Tier 2 and Tier 1 methods are not consistent.+
  
 The IEFs for the other categories provided in Table 4 correspond to the EMEP Tier 1 emission factors, except for horses, sheep, swine and other poultry. These categories comprise subcategories with different emission factors so that their overall IEFs in Table 4 represent subpopulation-weighted national mean values. The IEFs for the other categories provided in Table 4 correspond to the EMEP Tier 1 emission factors, except for horses, sheep, swine and other poultry. These categories comprise subcategories with different emission factors so that their overall IEFs in Table 4 represent subpopulation-weighted national mean values.
-Note that other poultry in Germany includes not only geese and ducks but also pullets. For pullets no default EF is given in the EMEP guidebook (EMEP, 2016[10] , hence the EF of broilers has been adopted (because of similar housing). This assumption significantly lowers the overall IEF of other poultry in Table 4 the IEFs are listed separately for each poultry category). The IEF of the sheep category is significantly lower than the EMEP Tier 1 emission factor, because for lambs the EF is assumed to be 40% lower compared to an adult sheep in accordance with the difference in N excretion between lambs and adult sheep.+Note that other poultry in Germany includes not only geese and ducks but also pullets. For pullets no default EF is given in the EMEP guidebook (EMEP, 2019) , hence the EF of broilers has been adopted (because of similar housing). This assumption significantly lowers the overall IEF of other poultry in Table 4 the IEFs are listed separately for each poultry category). The IEF of the sheep category is significantly lower than the EMEP Tier 1 emission factor, because for lambs the EF is assumed to be 40% lower compared to an adult sheep in accordance with the difference in N excretion between lambs and adult sheep.
  
 //Table 4: IEF for NMVOC from manure management// //Table 4: IEF for NMVOC from manure management//
  
-2020_3B_Table_4.PNG 
  
-**Trend discussion for Key Sources**+^  IEF in kg NMVOC per animal place                                                                                                                                ^|||||||||||||| 
 +^                                    ^  1990    1995    2000    2005    2010    2011    2012    2013    2014    2015    2016    2017    2018    2019   ^ 
 +^ dairy cattle                        30.940 |  32.695 |  35.473 |  36.706 |  37.234 |  37.578 |  37.560 |  37.351 |  37.721 |  37.914 |  38.366 |  38.378 |  39.213 |  40.093 | 
 +^ other cattle                        11.705 |  11.657 |  11.765 |  11.652 |  11.722 |  11.676 |  11.646 |  11.654 |  11.602 |  11.616 |  11.618 |  11.658 |  11.716 |  11.818 | 
 +^ horses                               6.497 |   6.491 |   6.688 |   6.660 |   6.644 |   6.643 |   6.642 |   6.641 |   6.644 |   6.646 |   6.648 |   6.651 |   6.653 |   6.656 | 
 +^ sheep                              |   0.131 |   0.131 |   0.132 |   0.132 |   0.131 |   0.131 |   0.131 |   0.131 |   0.131 |   0.131 |   0.131 |   0.131 |   0.131 |   0.131 | 
 +^ goats                              |   0.542 |   0.542 |   0.542 |   0.542 |   0.542 |   0.542 |   0.542 |   0.542 |   0.542 |   0.542 |   0.542 |   0.542 |   0.542 |   0.542 | 
 +^ swine                              |   0.695 |   0.698 |   0.690 |   0.682 |   0.669 |   0.663 |   0.656 |   0.654 |   0.652 |   0.651 |   0.649 |   0.648 |   0.648 |   0.648 | 
 +^ laying hens                        |   0.165 |   0.165 |   0.165 |   0.165 |   0.165 |   0.165 |   0.165 |   0.165 |   0.165 |   0.165 |   0.165 |   0.165 |   0.165 |   0.165 | 
 +^ broilers                             0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 | 
 +^ turkeys                            |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 | 
 +^ pullets                            |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 |   0.108 | 
 +^ ducks                              |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 | 
 +^ geese                              |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |   0.489 |
  
-Dairy cattle and other cattle are key sources of NMVOC emissions from manure management. The total NMVOC emissions from both animal categories strongly correlate with the animal numbers given in Table 1 (cattle: R2 = 0.98; other cattle: R2 = 0.99).+=== Trend discussion for Key Sources === 
 +Dairy cattle and other cattle are key sources of NMVOC emissions from manure management. The total NMVOC emissions from both animal categories strongly correlate with the animal numbers given in Table 1 (dairy cattle: R² = 0.895; other cattle: R² = 0.995).
  
-**Recalculations**+=== Recalculations === 
 +All time series of the emission inventory have completely been recalculated since 1990. Table REC-3 compares the recalculated time series of the NMVOC emissions from 3.B with the respective data of last year’s submission. The recalculated total emissions are lower by 4 to 11 %. This is due to improved methodology for the  cattle sector (**recalculation reasons 1 through 4**, see [[sector:agriculture:start|main page of the agricultural sector]]). 
 +Emissions of other animals remained unchanged. Further details on recalculations are described in Rösemann et al. (2021), Chapter 3.5.2.
  
-All time series of the emission inventory have completely been recalculated since 1990. Table REC-3 compares the recalculated time series of the NMVOC emissions from 3.B with the respective data of last year’s submission. The recalculated total emissions are by more than 60 % higher. This is completely due to the introduction of the Tier 2 methodology for cattle (recalculation No 1, see main page of the agricultural sector (https://iir-de-2020.wikidot.com/3-agriculture)), which more than doubles the dairy cattle emissions calculated with the Tier 1 method. Emissions from other cattle are more than 40 % higher than those calculated with the Tier 1 method for last year’s submission. As mentioned already above, that huge differences are due to the fact that the Tier 2 and Tier 1 methods are not consistent. 
-Emissions of other species remained unchanged, with the exception of laying hens emissions in 2017, due to recalculation No 8. Further details on recalculations are described in Haenel et al. (2020), Chapter 3.5.2 [1]. 
  
 //Table REC-3: Comparison of NMVOC emissions of the submissions (SUB) 2020 and 2021// //Table REC-3: Comparison of NMVOC emissions of the submissions (SUB) 2020 and 2021//
  
-2020_3B_Table_6_Rekal.PNG +^ NMVOC emissions from manure management, in Gg                                                                                                                                       ^||||||||||||||| 
- +^                                                ^  SUB  ^  1990    1995    2000    2005    2010    2011    2012    2013    2014    2015    2016    2017    2018    2019   ^ 
-**Planned improvements**+^ Total                                          ^ 2021  |  390.80 |  332.18 |  318.01 |  297.65 |  296.79 |  297.13 |  299.17 |  304.38 |  306.74 |  305.38 |  303.07 |  300.94 |  297.86 |  295.83 | 
 +^                                                ^ 2020  |  439.44 |  365.76 |  344.98 |  320.23 |  317.25 |  317.26 |  318.95 |  324.80 |  326.92 |  325.45 |  322.84 |  320.20 |  316.49 |         | 
 +^ Dairy cattle                                   ^ 2021  |  196.61 |  170.97 |  162.10 |  155.50 |  155.75 |  157.45 |  157.39 |  159.40 |  162.04 |  162.45 |  161.82 |  161.15 |  160.81 |  160.84 | 
 +^                                                ^ 2020  |  231.88 |  194.00 |  177.13 |  167.50 |  166.57 |  168.13 |  167.69 |  170.01 |  172.37 |  172.58 |  171.57 |  170.89 |  169.97 |         | 
 +^ Other cattle                                   ^ 2021  |  153.72 |  124.27 |  117.29 |  102.54 |  101.14 |   97.38 |   96.89 |   98.11 |   98.00 |   97.00 |   95.83 |   94.23 |   91.95 |   90.15 | 
 +^                                                ^ 2020  |  167.09 |  134.83 |  129.24 |  113.12 |  110.78 |  106.84 |  106.37 |  107.92 |  107.84 |  106.95 |  105.84 |  103.75 |  101.42 |         | 
 +^ Other animals                                  ^ 2021  |   40.46 |   36.94 |   38.62 |   39.61 |   39.89 |   42.29 |   44.89 |   46.87 |   46.70 |   45.93 |   45.42 |   45.56 |   45.11 |   44.84 | 
 +^                                                ^ 2020  |   40.46 |   36.94 |   38.62 |   39.61 |   39.89 |   42.29 |   44.89 |   46.87 |   46.70 |   45.93 |   45.42 |   45.56 |   45.11 |         |
  
 +=== Planned improvements ===
 No improvements are planned at present. No improvements are planned at present.
  
 =====  TSP, PM10 and PM2.5 ===== =====  TSP, PM10 and PM2.5 =====
 +In 2019, TSP emissions from manure management amount to 71.1 % of total emissions from the agricultural sector. Within the emissions from manure management 22.4 % originate from cattle, 39.3 % from pigs, and 37.7 % from poultry. 42.7 % of the PM<sub>10</sub> emissions from the agricultural sector are caused by manure management, where 34.0 % originate from cattle, 18.9 % from pigs, and 46.2 % from poultry. PM<sub>2.5</sub> emissions from the agricultural sector mostly originate from manure management (84.8 %), of which are 77.5 % from cattle, 3.0 % from pigs, and 18.0 % from poultry.
  
 +==== Method ====
 +EMEP (2013)-3B-26 [9] provided a Tier 2 methodology. In the current Guidebook (EMEP, 2019), this methodology has been replaced by a Tier 1 methodology. However, EF for cattle derived with the EMEP 2013 Tier 2 methodology remained unchanged. So the EMEP 2013((EMEP (2013): EMEP/EEA air pollutant emission inventory guidebook – 2013)) methodology was kept for cattle. For swine the EMEP 2013 methodology was formally kept but the EMEP 2019 Tier 1 EF was used both for slurry and solid based manure management systems. The same was done with the EMEP 2016 EFs for laying hens (used for cages and perchery). In case the EMEP 2019 EFs are just the rounded EMEP 2013 EFs, the unrounded EMEP 2013 EFs were kept.
 +The inventory considers air scrubber systems in swine and poultry husbandry. For animal places equipped with air scrubbing the emission factors are reduced according to the removal efficiency of the air scrubber systems (90 % for TSP and PM<sub>10</sub>, 70 % for PM<sub>2.5</sub>). For details see Rösemann et al. (2021), Chapter 3.3.4.3.3.
  
-In 2019, TSP emissions from manure management amount to xx71.4 % of total emissions from the agricultural sector. Within the emissions from manure management xx22.6 % originate from cattle, xx39.8 % from pigs, and xx37.0 % from poultry. xx43.0 % of the PM<ub>10</sub> emissions from the agricultural sector are caused by manure management, where xx34.4 % originate from cattle, xx19.2 % from pigs, and xx45.6 % from poultry. PM<sub>2.5</sub> emissions from the agricultural sector mostly originate from manure management (xx85.0 %), of which are xx77.8 % from cattle, xx3.0 % from pigs, and xx17.6 % from poultry. +=== Activity data ===
- +
-**Method** +
- +
-EMEP (2013)-3B-26 [9] provided a Tier 2 methodology. In the current Guidebook (EMEP, 2016) [10], this methodology has been replaced by a Tier 1 methodology. However, EF for cattle derived with the EMEP 2013 Tier 2 methodology remained unchanged. So the EMEP 2013 [9] methodology was kept for cattle. For swine the EMEP 2013 [9] methodology was formally kept but the EMEP 2016 Tier 1 EF was used both for slurry and solid based manure management systems. The same was done with the EMEP 2016 EFs for laying hens (used for cages and perchery). In case the EMEP 2016 EFs are just the rounded EMEP 2013 EFs, the unrounded EMEP 2013 EFs were kept. +
-The inventory considers air scrubber systems in swine and poultry husbandry. For animal places equipped with air scrubbing the emission factors are reduced according to the removal efficiency of the air scrubber systems (90 % for TSP and PM<sub>10</sub>, 70 % for PM<sub>2.5</sub>). For details see Haenel et al. (2020), Chapter 3.3.4.3.3 [1]. +
- +
-**Activity data** +
 Animal numbers serve as activity data, see Table 1. Animal numbers serve as activity data, see Table 1.
  
-**Emission factors** +=== Emission factors === 
- +Tier 1 emission factors for TSP, PM<sub>10</sub> and PM<sub>2.5</sub> from livestock husbandry are provided in EMEP (2019)-3B-19, Table 3.5 and 55, Table A1.7. For cattle the Tier 2 emission factors provided in EMEP (2013)-3B-29, Table 3-11 were used, because they differentiate between slurry and solid manure systems and were also used to develop the EMEP 2019 Tier 1 emissions factors.
-Tier 1 emission factors for TSP, PM<sub>10</sub> and PM<sub>2.5</sub> from livestock husbandry are provided in EMEP (2016)-3B-19, Table 3.5 and 53, Table A3-4 [10]. For cattle the Tier 2 emission factors provided in EMEP (2013)-3B-29, Table 3-11 [9] were used, because they differentiate between slurry and solid manure systems and were also used to develop the EMEP 2016 Tier 1 emissions factors.+
  
 The implied emission factors given in Table 5 relate the overall TSP and PM emissions to the number of animals in each animal category. The Guidebook does not indicate whether EFs have considered the condensable component (with or without). The implied emission factors given in Table 5 relate the overall TSP and PM emissions to the number of animals in each animal category. The Guidebook does not indicate whether EFs have considered the condensable component (with or without).
Line 297: Line 332:
 //Table 5: IEF for TSP, PM<sub>10</sub> & PM<sub>2.5</sub> from manure management// //Table 5: IEF for TSP, PM<sub>10</sub> & PM<sub>2.5</sub> from manure management//
  
-2020_3B_Table_5.PNG+^                                                    1990    1995    2000    2005    2010    2011    2012    2013    2014    2015    2016    2017    2018    2019   ^ 
 +|  **IEF in kg TSP per animal place**                                                                                                                                             ||||||||||||||| 
 +^ dairy cattle                                      |  1.2124 |  1.4016 |  1.4544 |  1.4743 |  1.4891 |  1.4873 |  1.4860 |  1.4841 |  1.4840 |  1.4828 |  1.4834 |  1.4828 |  1.4826 |  1.4826 | 
 +^ other cattle                                      |  0.5194 |  0.5107 |  0.5018 |  0.4926 |  0.4823 |  0.4814 |  0.4817 |  0.4822 |  0.4813 |  0.4806 |  0.4807 |  0.4807 |  0.4810 |  0.4807 | 
 +^ horses                                            |  0.3514 |  0.3512 |  0.3558 |  0.3552 |  0.3548 |  0.3548 |  0.3548 |  0.3548 |  0.3548 |  0.3549 |  0.3549 |  0.3550 |  0.3550 |  0.3551 | 
 +^ sheep                                              0.0484 |  0.0478 |  0.0489 |  0.0486 |  0.0489 |  0.0485 |  0.0485 |  0.0485 |  0.0483 |  0.0482 |  0.0482 |  0.0482 |  0.0480 |  0.0482 | 
 +^ goats                                              0.0914 |  0.0914 |  0.0914 |  0.0914 |  0.0914 |  0.0914 |  0.0914 |  0.0914 |  0.0914 |  0.0914 |  0.0914 |  0.0914 |  0.0914 |  0.0914 | 
 +^ swine                                              0.8260 |  0.8366 |  0.8320 |  0.8247 |  0.8104 |  0.8043 |  0.8086 |  0.8037 |  0.8002 |  0.7910 |  0.7918 |  0.7891 |  0.7865 |  0.7814 | 
 +^ laying hens                                        0.1900 |  0.1900 |  0.1900 |  0.1900 |  0.1900 |  0.1900 |  0.1900 |  0.1900 |  0.1900 |  0.1899 |  0.1898 |  0.1897 |  0.1894 |  0.1890 | 
 +^ broilers                                          |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0399 |  0.0399 |  0.0397 |  0.0396 |  0.0395 |  0.0394 | 
 +^ turkeys                                            0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 | 
 +^ pullets                                            0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 | 
 +^ ducks                                              0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 | 
 +^ geese                                              0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 | 
 +|  **IEF in kg PM<sub>10</sub> per animal place**                                                                                                                                 ||||||||||||||| 
 +^ dairy cattle                                      |  0.5557 |  0.6426 |  0.6668 |  0.6759 |  0.6827 |  0.6819 |  0.6813 |  0.6804 |  0.6803 |  0.6798 |  0.6801 |  0.6798 |  0.6797 |  0.6797 | 
 +^ other cattle                                      |  0.2403 |  0.2363 |  0.2321 |  0.2278 |  0.2230 |  0.2226 |  0.2227 |  0.2229 |  0.2225 |  0.2222 |  0.2222 |  0.2222 |  0.2223 |  0.2222 | 
 +^ horses                                            |  0.1619 |  0.1619 |  0.1639 |  0.1636 |  0.1634 |  0.1634 |  0.1634 |  0.1634 |  0.1634 |  0.1634 |  0.1635 |  0.1635 |  0.1635 |  0.1635 | 
 +^ sheep                                              0.0194 |  0.0192 |  0.0196 |  0.0195 |  0.0196 |  0.0195 |  0.0194 |  0.0194 |  0.0194 |  0.0193 |  0.0193 |  0.0193 |  0.0192 |  0.0193 | 
 +^ goats                                              0.0368 |  0.0368 |  0.0368 |  0.0368 |  0.0368 |  0.0368 |  0.0368 |  0.0368 |  0.0368 |  0.0368 |  0.0368 |  0.0368 |  0.0368 |  0.0368 | 
 +^ swine                                              0.1241 |  0.1255 |  0.1244 |  0.1230 |  0.1199 |  0.1187 |  0.1185 |  0.1177 |  0.1170 |  0.1158 |  0.1156 |  0.1151 |  0.1147 |  0.1139 | 
 +^ laying hens                                        0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0400 |  0.0399 |  0.0399 |  0.0398 | 
 +^ broilers                                          |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0199 |  0.0198 |  0.0198 |  0.0198 |  0.0197 | 
 +^ turkeys                                            0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 |  0.1100 | 
 +^ pullets                                            0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 | 
 +^ ducks                                              0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 |  0.1400 | 
 +^ geese                                              0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 |  0.2400 | 
 +|  **IEF in kg PM<sub>2.5</sub> per animal place**                                                                                                                                ||||||||||||||| 
 +^ dairy cattle                                      |  0.3616 |  0.4181 |  0.4339 |  0.4398 |  0.4442 |  0.4437 |  0.4433 |  0.4427 |  0.4427 |  0.4423 |  0.4425 |  0.4423 |  0.4422 |  0.4422 | 
 +^ other cattle                                      |  0.1574 |  0.1548 |  0.1521 |  0.1493 |  0.1463 |  0.1460 |  0.1461 |  0.1462 |  0.1460 |  0.1458 |  0.1458 |  0.1458 |  0.1459 |  0.1458 | 
 +^ horses                                            |  0.1027 |  0.1026 |  0.1039 |  0.1038 |  0.1036 |  0.1036 |  0.1036 |  0.1036 |  0.1036 |  0.1037 |  0.1037 |  0.1037 |  0.1037 |  0.1037 | 
 +^ sheep                                              0.0059 |  0.0059 |  0.0060 |  0.0060 |  0.0060 |  0.0060 |  0.0060 |  0.0060 |  0.0059 |  0.0059 |  0.0059 |  0.0059 |  0.0059 |  0.0059 | 
 +^ goats                                              0.0112 |  0.0112 |  0.0112 |  0.0112 |  0.0112 |  0.0112 |  0.0112 |  0.0112 |  0.0112 |  0.0112 |  0.0112 |  0.0112 |  0.0112 |  0.0112 | 
 +^ swine                                              0.0056 |  0.0057 |  0.0056 |  0.0056 |  0.0054 |  0.0054 |  0.0053 |  0.0053 |  0.0053 |  0.0052 |  0.0052 |  0.0052 |  0.0052 |  0.0052 | 
 +^ laying hens                                        0.0030 |  0.0030 |  0.0030 |  0.0030 |  0.0030 |  0.0030 |  0.0030 |  0.0030 |  0.0030 |  0.0030 |  0.0030 |  0.0030 |  0.0030 |  0.0030 | 
 +^ broilers                                          |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 | 
 +^ turkeys                                            0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 |  0.0200 | 
 +^ pullets                                            0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 |  0.0020 | 
 +^ ducks                                              0.0180 |  0.0180 |  0.0180 |  0.0180 |  0.0180 |  0.0180 |  0.0180 |  0.0180 |  0.0180 |  0.0180 |  0.0180 |  0.0180 |  0.0180 |  0.0180 | 
 +^ geese                                              0.0320 |  0.0320 |  0.0320 |  0.0320 |  0.0320 |  0.0320 |  0.0320 |  0.0320 |  0.0320 |  0.0320 |  0.0320 |  0.0320 |  0.0320 |  0.0320 |
  
-**Trend discussion for Key Sources**+==== Trend discussion for Key Sources ==== 
 +Swine and laying hens are key sources of TSP emissions from manure management. The total TSP emissions from swine mainly follow the animal numbers given in Table 1. However, due to air scrubbing and different emission factors of the different housing systems of the four swine subcategories (sows with piglets, weaners, fattening pigs, boars) and the varying population shares in those housing systems the R<sup>2</sup> of the linear regression is lower than 1 (0.79). For laying hens and broilers, due to the low prevalence of air scrubbing systems. TSP emissions almost perfectly correlate with the animal numbers provided in Table 1 (R<sup>2</sup> = 1).
  
-Swine and laying hens are key sources of TSP emissions from manure management. The total TSP emissions from swine mainly follow the animal numbers given in Table 1. However, due to different emission factors of the different housing systems of the four swine subcategories (sows with piglets, weaners, fattening pigs, boars) and the varying population shares in those housing systems the R2 of the linear regression is lower than 1 (0.82). For laying hens, TSP emissions perfectly correlate with the animal numbers provided in Table 1 (R<sup>2</sup> 1). +==== Recalculations ==== 
- +Table REC-4 shows the effects of recalculations on emissions of particulate matter. Changes in the years 1990 through 1999 are a consequence of the update of the dairy cow model (**recalculation reason 1**, see [[sector:agriculture:start|main page of the agricultural sector]])This update includes modified calculation of the share of year spent on pastureresulting in longer grazing periods and therefore lower emissions of particulate matter from manure management in the years 1990 through 1999. Differences of TSP and PM emissions in the years as of 2005 are due to updated activity data of air scrubbing systems for sows, weaners, fattening pigs and broilers, see **recalculation reasons 8 and 10** on [[sector:agriculture:start|the main page of the agricultural sector]]. Further details on recalculations are described in Rösemann et al. (2021), Chapter 3.5.2.
-** Recalculations** +
- +
-Table REC-4 shows the effects of recalculations on emissions of particulate matter. The overall recalculation effects are small. The biggest impact has the introduction of air scrubber systems only affecting particulate matter emissions for swine (recalculation No 6, see main page of the agricultural sector (https://iir-de-2020.wikidot.com/3-agriculture)) and, to lesser extent, the introduction of air scrubber systems for poultry (No 7). More details on the agricultural recalculations can be found on the main agricultural page (https://iir-de-2020.wikidot.com/3-agriculture). Further details on recalculations are described in Haenel et al. (2020), Chapter 3.5.2.+
  
 //Table REC-4: Comparison of particle emissions (TSP, PM<sub>10</sub> & PM<sub>2.5</sub>) of the submissions (SUB) 2020 and 2021// //Table REC-4: Comparison of particle emissions (TSP, PM<sub>10</sub> & PM<sub>2.5</sub>) of the submissions (SUB) 2020 and 2021//
  
-2020_3B_Table_7_Rekal.PNG +^  TSP, PM10, PM2.5 emissions from manure management, in Gg                                                                                                                          |||||||||||||||| 
- +^                                                            ^  SUB    1990  ^  1995  ^  2000  ^  2005  ^  2010  ^  2011  ^  2012  ^  2013  ^  2014  ^  2015  ^  2016  ^  2017  ^  2018  ^  2019  ^ 
-** Planned improvements**+^ TSP                                                        ^  2021  |  50.04 |  42.24 |  42.44 |  41.26 |  40.32 |  41.79 |  43.90 |  45.06 |  45.33 |  44.58 |  44.35 |  44.40 |  43.55 |  42.90 | 
 +^ TSP                                                        ^  2020  |  50.26 |  42.41 |  42.44 |  41.26 |  40.32 |  41.79 |  43.91 |  45.07 |  45.36 |  44.61 |  44.39 |  44.44 |  43.62 |        | 
 +^ PM<sub>10</sub>                                            ^  2021  |  14.34 |  12.71 |  12.63 |  12.29 |  12.32 |  12.75 |  13.31 |  13.80 |  13.77 |  13.56 |  13.39 |  13.36 |  13.17 |  13.00 | 
 +^ PM<sub>10</sub>                                            ^  2020  |  14.44 |  12.78 |  12.63 |  12.29 |  12.32 |  12.75 |  13.31 |  13.80 |  13.78 |  13.57 |  13.40 |  13.38 |  13.19 |        | 
 +^ PM<sub>2.5</sub>                                            2021  |   5.01 |   4.47 |   4.18 |   3.89 |   3.86 |   3.86 |   3.91 |   4.01 |   4.01 |   3.97 |   3.91 |   3.88 |   3.80 |   3.72 | 
 +^ PM<sub>2.5</sub>                                            2020  |   5.08 |   4.52 |   4.18 |   3.89 |   3.86 |   3.86 |   3.91 |   4.01 |   4.01 |   3.97 |   3.91 |   3.88 |   3.80 |        |
  
 +===== Planned improvements =====
 No improvements are planned at present. No improvements are planned at present.
  
-**Uncertainty** +===== Uncertainty =====
 Details will be described in [[general:uncertainty_evaluation:start|chapter 1.7]]. Details will be described in [[general:uncertainty_evaluation:start|chapter 1.7]].