meta data for this page
Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
sector:agriculture:manure_management:start [2021/12/25 11:40] – [TSP, PM10 and PM2.5] doering | sector:agriculture:manure_management:start [2022/12/14 15:39] – doering | ||
---|---|---|---|
Line 14: | Line 14: | ||
| 3.B.4.h | | 3.B.4.h | ||
- | ^ Key Category | + | ^ Key Category |
- | | 3.B.1.a | + | | 3.B.1.a |
- | | 3.B.1.b | + | | 3.B.1.b |
- | | 3.B.2 | + | | 3.B.2 | -/- | -/- |
- | | 3.B.3 | + | | 3.B.3 | -/- | -/- |
- | | 3.B.4.d | + | | 3.B.4.d |
- | | 3.B.4.e | + | | 3.B.4.e |
- | | 3.B.4.g.i | + | | 3.B.4.g.i |
- | | 3.B.4.g.ii | + | | 3.B.4.g.ii |
- | | 3.B.4.g.iii | + | | 3.B.4.g.iii |
- | | 3.B.4.g.iv | + | | 3.B.4.g.iv |
| | ||
Line 35: | Line 35: | ||
{{ : | {{ : | ||
- | In 2020, NH< | + | In 2021, NH< |
- | NO< | + | NO< |
- | NMVOC emissions from category 3.B (manure management) contributed 96.9 % (289.8 kt) from total agricultural NMVOC emissions (298.9 kt). | + | NMVOC emissions from category 3.B (manure management) contributed 96.8 % (281.2 kt) from total agricultural NMVOC emissions (290.6 kt). |
- | In 2020, manure management contributed, | + | In 2021, manure management contributed, |
==== 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, | + | 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, |
- | The animal population figures used in the inventory are presented in Table 1. From 2017 to 2019 the animal population figures for horses, goats and poultry differ from the figures presented in the last IIR. In the last year’s submission these figures were extrapolated from the year 2016. Now there are new figures available for the year 2020 and the years 2017-2019 have been interpolated. Buffaloes are included in the cattle population figures, mules and asses are included in the horse population figures (IE), see Vos et al. (2022), Chapters | + | 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 |
- | Figures for broilers and turkeys are showing a massive increase since 1990. Since the year 2013, there have been only minor changes of total poultry numbers. In total, | + | Figures for broilers and turkeys are showing a massive increase since 1990. Since the year 2013, there have been only minor changes of total poultry numbers. In total, |
//Table 1: Population of animals// | //Table 1: Population of animals// | ||
- | ^ Population of animals (in 1000) | + | ^ Population of animals (in 1000) ||||||||||||||||| |
- | | ^ 1990 | + | | ^ 1990 |
- | | dairy cattle | + | | dairy cattle |
- | | other cattle | + | | other cattle |
- | | buffalo | + | | buffalo |
- | | mules and asses | IE | IE | IE | IE | IE | IE | IE | IE | IE | IE | IE | IE | IE | IE | IE | | + | | mules and asses |
- | | horses | + | | horses |
- | | sheep | 3'266.1 | 2'990.7 | 2'743.3 | 2'643.1 | 2'245.0 | 1'979.7 | 1'965.9 | 1'877.2 | 1'892.4 | 1'866.9 | 1'851.0 | 1'863.2 | 1'846.0 | 1'813.6 | 1'780.3 | | + | | sheep | 3,266.1 | 2,990.7 | 2,743.3 | 2,643.1 | 2,245.0 | 1,979.7 | 1,965.9 | 1,877.2 | 1,892.4 | 1,866.9 | 1,851.0 | 1,863.2 | 1,846.0 | 1,813.6 | 1,780.3 | |
- | | goats | 90.0 | 100.0 | 140.0 | 170.0 | 149.9 | 143.4 | 136.8 | 130.2 | 133.1 | 135.9 | 138.8 | 142.8 | 146.9 | 150.9 | 154.9 | | + | | goats | 90.0 | 100.0 | 140.0 | 170.0 | 149.9 | 143.4 | 136.8 | 130.2 | 133.1 | 135.9 | 138.8 | 142.8 | 146.9 | 150.9 | 154.9 | 158.9 | |
- | | swine | 26'502.5 | 20'387.3 | 21'767.7 | 22'742.8 | 22'244.4 | 22'787.9 | 23'648.3 | 23'391.2 | 23'666.9 | 22'978.5 | 22'761.2 | 22'920.8 | 22'019.2 | 21'596.4 | 21'622.0 | | + | | swine | 26,502.5 | 20,387.3 | 21,767.7 | 22,742.8 | 22,244.4 | 22,787.9 | 23,648.3 | 23,391.2 | 23,666.9 | 22,978.5 | 22,761.2 | 22,920.8 | 22,019.2 | 21,596.4 | 21,622.0 | 19, |
- | | laying hens | 53'450.5 | 45'317.3 | 44'225.6 | 38'203.6 | 35'279.0 | 39'514.9 | 43'750.8 | 47'986.7 | 49'303.0 | 50'619.3 | 51'935.5 | 52'571.1 | 53'206.6 | 53'842.1 | 54'477.6 | | + | | laying hens | 53,450.5 | 45,317.3 | 44,225.6 | 38,203.6 | 35,279.0 | 39,514.9 | 43,750.8 | 47,986.7 | 49,303.0 | 50,619.3 | 51,935.5 | 52,571.1 | 53,206.6 | 53,842.1 | 54,477.6 | 55, |
- | | broilers | + | | broilers |
- | | turkeys | + | | turkeys |
- | | pullets | + | | pullets |
- | | ducks | 2'013.7 | 1'933.7 | 2'055.7 | 2'352.2 | 3'164.3 | 3'029.5 | 2'894.6 | 2'759.7 | 2'585.3 | 2'410.8 | 2'236.4 | 2'209.1 | 2'181.9 | 2'154.6 | 2'127.4 | | + | | ducks | 2,013.7 | 1,933.7 | 2,055.7 | 2,352.2 | 3,164.3 | 3,029.5 | 2,894.6 | 2,759.7 | 2,585.3 | 2,410.8 | 2,236.4 | 2,209.1 | 2,181.9 | 2,154.6 | 2,127.4 | 2,127.4 | |
- | | geese | 781.5 | 617.0 | 404.8 | 329.5 | 278.1 | 366.8 | 455.5 | 544.2 | 472.5 | 400.8 | 329.0 | 327.7 | 326.3 | 324.9 | 323.5 | | + | | geese | 781.5 | 617.0 | 404.8 | 329.5 | 278.1 | 366.8 | 455.5 | 544.2 | 472.5 | 400.8 | 329.0 | 327.7 | 326.3 | |
- | | other animals: no data available a) ||||||||||||||| | + | | other animals: no data available a) ||||||||||||||| | | |
< | < | ||
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' | 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' | ||
Line 76: | Line 76: | ||
==== Additional data ==== | ==== 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 Voss et al. (2022), Chapters 4 to 8. | + | 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 |
Most of the data mentioned above is not available from official statistics and was obtained from literature, from publications by agricultural associations, | Most of the data mentioned above is not available from official statistics and was obtained from literature, from publications by agricultural associations, | ||
+ | |||
For 1991, 1995 and 1999, frequency distributions of feeding strategies, husbandry systems (shares of pasturing/ | For 1991, 1995 and 1999, frequency distributions of feeding strategies, husbandry systems (shares of pasturing/ | ||
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. | ||
- | For the year 2010, respective data are used that were derived from the 2010 official agricultural census and the simultaneous survey of agricultural production methods (Landwirtschaftliche Zählung 2010, Statistisches Bundesamt/ Federal Statistical Office) as well as the 2011 survey on manure application practices (Erhebung über Wirtschaftsdüngerausbringung, | + | For the year 2009, respective data are used that were derived from the 2010 official agricultural census and the simultaneous survey of agricultural production methods (Landwirtschaftliche Zählung 2010, Statistisches Bundesamt/ Federal Statistical Office) as well as the 2011 survey on manure application practices (Erhebung über Wirtschaftsdüngerausbringung, |
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 the year 2020 data from the 2020 official agricultural census (Landwirtschaftszählung 2020) are used for housing systems, storage systems and manure spreading systems. | + | The gaps between the latest RAUMIS model data (1999) and the first official data (2009) were closed by linear interpolation on district level. For the year 2019 data from the 2020 official agricultural census (Landwirtschaftszählung 2020, LW20) are used for housing systems, storage systems and manure spreading systems. |
- | For 2011 to 2019 the housing and storage systems data was linearly interpolated between the censuses of 2010 and 2020. The data on manure spreading techniques was linearly interpolated between the census data from 2010 and 2015, and for 2016 to 2019 between the censuses conducted in 2015 and 2020. 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 Vos et al. (2022), Chapter | + | For 2010 to 2018 the housing and storage systems data was linearly interpolated between the censuses of 2010 and 2020. The data on manure spreading techniques was linearly interpolated between the census data from 2009 and 2015, and for 2016 to 2018 between the censuses conducted in 2016 and 2020. 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 Rösemann |
===== NH₃ and NOₓ ===== | ===== NH₃ and NOₓ ===== | ||
Line 94: | Line 95: | ||
== N excretion == | == N excretion == | ||
- | In order to determine NH< | + | In order to determine NH< |
- | Vos et al. (2022), Chapter | + | |
//Table 2: National means of N excretions and TAN contents// | //Table 2: National means of N excretions and TAN contents// | ||
- | ^ ^ 1990 ^ 1995 ^ 2000 ^ 2005 ^ 2010 ^ 2011 ^ 2012 ^ 2013 ^ 2014 ^ 2015 ^ 2016 ^ 2017 ^ 2018 ^ 2019 ^ 2020 ^ | + | ^ ^ 1990 ^ 1995 ^ 2000 ^ 2005 ^ 2010 ^ 2011 ^ 2012 ^ 2013 ^ 2014 ^ 2015 ^ 2016 ^ 2017 ^ 2018 ^ 2019 ^ 2020 |
- | ^ mean N excretions in kg per animal place |||||||||||||||| | + | ^ mean N excretions in kg per animal place ||||||||||||||||| |
- | ^ dairy cattle | + | ^ dairy cattle |
- | ^ other cattle | + | ^ other cattle |
- | ^ horses | + | ^ horses |
- | ^ sheep | 7.7 | 7.7 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | | + | ^ sheep | 7.7 | 7.7 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | 7.8 | |
- | ^ goats | 11.0 | 11.0 | 11.0 | 11.0 | 11.0 | 11.0 | 11.0 | 11.0 | 11.0 | 11.0 | 11.0 | 11.0 | 11.0 | 11.0 | 11.0 | | + | ^ goats |
- | ^ swine | 13.0 | 13.4 | 13.2 | 13.0 | 12.8 | 12.8 | 12.8 | 12.8 | 12.8 | 13.0 | 13.1 | 13.1 | 13.1 | 13.0 | 13.0 | | + | ^ swine | 13.0 | 13.4 | 13.2 | 13.0 | 12.8 | 12.7 | 12.7 | 12.6 | 12.6 | 12.7 | 12.7 | 12.6 | 12.6 | 12.5 | 12.4 | |
- | ^ laying hens | 0.81 | 0.78 | 0.76 | 0.79 | 0.87 | 0.87 | 0.88 | 0.88 | 0.88 | 0.89 | 0.89 | 0.89 | 0.90 | 0.90 | 0.90 | | + | ^ laying hens | 0.81 | 0.78 | 0.76 | 0.79 | 0.87 | 0.87 | 0.88 | 0.88 | 0.88 | 0.89 | 0.89 | |
- | ^ broilers | + | ^ broilers |
- | ^ turkeys | + | ^ turkeys |
- | ^ pullets | + | ^ pullets |
- | ^ ducks | 0.61 | 0.61 | 0.61 | 0.61 | 0.61 | 0.61 | 0.61 | 0.61 | 0.61 | 0.61 | 0.61 | 0.61 | 0.61 | 0.61 | 0.61 | | + | ^ ducks |
- | ^ geese | 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 | 0.70 | 0.70 | | + | ^ geese |
- | ^ mean TAN contents in % |||||||||||||||| | + | ^ mean TAN contents in % ||||||||||||||||| |
- | ^ dairy cattle | + | ^ dairy cattle |
- | ^ other cattle | + | ^ other cattle |
- | ^ horses | + | ^ horses |
- | ^ sheep | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | | + | ^ sheep |
- | ^ goats | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | 50.0 | | + | ^ goats |
- | ^ swine | 72.0 | 71.7 | 71.1 | 71.8 | 72.3 | 72.1 | 71.9 | 71.8 | 71.7 | 71.8 | 71.7 | 71.6 | 71.5 | 71.4 | 71.3 | | + | ^ swine | 72.0 | 71.7 | 71.1 | 71.8 | 72.3 | 72.0 | 71.8 | 71.7 | 71.5 | 71.6 | 71.4 | 71.2 | 71.1 | 71.0 | 70.8 | |
- | ^ laying hens | 70.2 | 69.6 | 69.0 | 69.3 | 70.0 | 70.0 | 70.0 | 70.2 | 70.2 | 70.2 | 70.2 | 70.2 | 70.2 | 70.2 | 70.2 | | + | ^ laying hens | 70.2 | 69.6 | 69.0 | 69.3 | 70.0 | 70.0 | |
- | ^ broilers | + | ^ broilers |
- | ^ turkeys | + | ^ turkeys |
- | ^ pullets | + | ^ pullets |
- | ^ ducks | 49.9 | 49.9 | 49.9 | 49.9 | 49.9 | 49.9 | 49.9 | 49.9 | 49.9 | 49.9 | 49.9 | 49.9 | 49.9 | 49.9 | 49.9 | | + | ^ ducks |
- | ^ 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 | 70.0 | | + | ^ geese |
== N mass flow and emission assessment == | == N mass flow and emission assessment == | ||
Line 140: | Line 140: | ||
The model 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 represented. | The model 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 represented. | ||
- | During storage Norg can be transformed into TAN and vice versa. Both, the way and the magnitude 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 Vos et al. (2022), Chapters 3.3.4.3 and 3.3.4.4. Wherever NH< | + | During storage Norg can be transformed into TAN and vice versa. Both, the way and the magnitude 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 |
== Air scrubber systems in swine and poultry housings == | == Air scrubber systems in swine and poultry housings == | ||
- | For pig and poultry production the inventory model 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< | + | For pig and poultry production the inventory model 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) |
- | According to the KTBL data, 7.5 % of all pig places were equipped with certified | + | According to the KTBL data, 6.6 % of all pig places were equipped with ”first class” |
- | The amounts of NH< | + | The amounts of NH< |
== Anaerobic digestion of manure == | == Anaerobic digestion of manure == | ||
- | According to IPCC (2006), anaerobic digestion of manure is treated like a particular storage type that, however, comprises three sub-compartments (pre-storage, | + | According to IPCC (2006), anaerobic digestion of manure is treated like a particular storage type that, however, comprises three sub-compartments (pre-storage, |
NH< | NH< | ||
Line 157: | Line 157: | ||
The detailed NH< | The detailed NH< | ||
- | For the detailed emission factors of livestock husbandry see Vos et al. (2022), Chapters 4 to 8; for emission factors of digested manure see Vos et al. (2022), Chapter | + | For the detailed emission factors of livestock husbandry see Rösemann |
- | The detailed emission factors for N< | + | Table 3 provides, by animal category, the implied NH< |
+ | |||
+ | The the detailed emission factors for N< | ||
Table 3 shows the implied emission factors of NH< | Table 3 shows the implied emission factors of NH< | ||
//Table 3: IEF for NH< | //Table 3: IEF for NH< | ||
- | | ^ 1990 ^ 1995 ^ 2000 ^ 2005 ^ 2010 ^ 2011 ^ 2012 ^ 2013 ^ 2014 ^ 2015 ^ 2016 ^ 2017 ^ 2018 ^ 2019 ^ 2020 ^ | + | | ^ 1990 ^ 1995 ^ 2000 ^ 2005 ^ 2010 ^ 2011 ^ 2012 ^ 2013 ^ 2014 ^ 2015 ^ 2016 ^ 2017 ^ 2018 ^ 2019 ^ 2020 |
- | ^ IEF in kg NH₃ per animal place |||||||||||||||| | + | ^ IEF in kg NH₃ per animal place ||||||||||||||||| |
- | ^ dairy cattle | + | ^ dairy cattle |
- | ^ other cattle | + | ^ other cattle |
- | ^ horses | + | ^ horses |
- | ^ 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 | 0.83 | | + | ^ 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 | 1.62 | | + | ^ goats |
- | ^ swine | 4.60 | 4.50 | 4.37 | 4.30 | 4.13 | 4.07 | 4.03 | 4.00 | 3.98 | 4.02 | 4.00 | 3.98 | 3.97 | 3.94 | 3.92 | | + | ^ swine | 4.53 | 4.45 | 4.33 | 4.25 | 4.08 | 4.01 | 3.94 | 3.89 | 3.84 | 3.86 | 3.81 | 3.77 | 3.73 | 3.67 | |
- | ^ laying hens | 0.212 | 0.203 | 0.199 | 0.198 | 0.142 | 0.144 | 0.144 | 0.145 | 0.146 | 0.146 | 0.147 | 0.147 | 0.148 | 0.149 | 0.150 | | + | ^ laying hens | 0.214 | 0.206 | 0.211 | 0.209 | 0.137 | 0.138 | 0.136 | 0.135 | 0.133 | 0.132 | 0.130 | 0.129 | 0.128 | 0.126 | 0.125 | 0.125 | |
- | ^ broilers | + | ^ broilers |
- | ^ turkeys | + | ^ turkeys |
- | ^ pullets | + | ^ pullets |
- | ^ ducks | 0.193 | 0.193 | 0.193 | 0.192 | 0.189 | 0.188 | 0.188 | 0.186 | 0.186 | 0.185 | 0.185 | 0.186 | 0.186 | 0.186 | 0.186 | | + | ^ ducks | 0.193 | 0.193 | 0.193 | 0.192 | 0.189 | 0.188 | 0.188 | 0.186 | 0.186 | 0.185 | 0.185 | 0.185 | 0.186 | 0.186 | 0.185 | 0.185 | |
- | ^ geese | 0.384 | 0.384 | 0.384 | 0.383 | 0.380 | 0.380 | 0.380 | 0.379 | 0.379 | 0.378 | 0.378 | 0.378 | 0.378 | 0.378 | 0.378 | | + | ^ geese | 0.384 | 0.384 | 0.384 | 0.383 | 0.380 | 0.380 | 0.380 | 0.379 | 0.379 | 0.378 | 0.378 | 0.378 | 0.378 | 0.378 | 0.378 | 0.378 | |
- | ^ IEF in kg NOₓ per animal place |||||||||||||||| | + | ^ IEF in kg NOₓ per animal place ||||||||||||||||| |
- | ^ dairy cattle | + | ^ dairy cattle |
- | ^ other cattle | + | ^ other cattle |
- | ^ horses | + | ^ horses |
- | ^ 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 | 0.006 | | + | ^ sheep |
- | ^ 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 | 0.013 | | + | ^ goats |
- | ^ swine | 0.011 | 0.013 | 0.012 | 0.014 | 0.014 | 0.014 | 0.013 | 0.013 | 0.013 | 0.013 | 0.013 | 0.013 | 0.012 | 0.012 | 0.012 | | + | ^ swine | 0.011 | 0.013 | 0.012 | 0.014 | 0.014 | 0.014 | 0.013 | 0.013 | 0.013 | 0.012 | 0.012 | 0.012 | 0.012 | 0.011 | 0.011 | 0.011 | |
- | ^ laying hens | 0.00027 | 0.00026 | 0.00026 | 0.00029 | 0.00035 | 0.00035 | 0.00034 | 0.00034 | 0.00034 | 0.00034 | 0.00034 | 0.00034 | 0.00034 | 0.00034 | 0.00034 | | + | ^ laying hens | 0.00027 | 0.00026 | 0.00025 | 0.00029 | 0.00035 | 0.00035 | 0.00033 | 0.00033 | 0.00033 | 0.00033 | 0.00033 | 0.00033 | 0.00033 | 0.00033 | 0.00033 | 0.00033 |
- | ^ broilers | + | ^ broilers |
- | ^ turkeys | + | ^ turkeys |
- | ^ pullets | + | ^ pullets |
- | ^ ducks | 0.00024 | 0.00024 | 0.00024 | 0.00025 | 0.00027 | 0.00027 | 0.00026 | 0.00027 | 0.00027 | 0.00027 | 0.00027 | 0.00027 | 0.00027 | 0.00026 | 0.00026 | | + | ^ ducks | 0.00024 | 0.00024 | 0.00024 | 0.00025 | 0.00027 | 0.00027 | 0.00026 | 0.00027 | 0.00027 | 0.00027 | 0.00027 | 0.00027 | 0.00027 |
- | ^ geese | 0.00024 | 0.00024 | 0.00025 | 0.00027 | 0.00030 | 0.00030 | 0.00028 | 0.00029 | 0.00028 | 0.00029 | 0.00029 | 0.00029 | 0.00028 | 0.00028 | 0.00028 | | + | ^ geese | 0.00024 | 0.00024 | 0.00025 | 0.00027 | 0.00030 | 0.00030 | 0.00028 | 0.00029 | 0.00028 | 0.00029 | 0.00029 | 0.00029 |
== Trend discussion for Key Sources == | == Trend discussion for Key Sources == | ||
- | Dairy cattle, other cattle and swine are key sources of NH< | + | Dairy cattle, other cattle and swine are key sources of NH< |
+ | |||
For NO< | For NO< | ||
== 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< | + | 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< |
- | The total emissions of NH< | + | |
- | ([[sector: | + | |
+ | The NH< | ||
+ | ([[sector: | ||
- | The overall NH< | + | Further details on recalculations are described in Rösemann |
- | //Tables REC-1 and REC-2: Comparison of the NH< | + | //Tables REC-1 and REC-2: Comparison of the NH< |
^ NH₃ emissions from manure management, in Gg | ^ NH₃ emissions from manure management, in Gg | ||
Line 310: | Line 317: | ||
==== Method ==== | ==== Method ==== | ||
- | EMEP (2013)-3B-26 | + | EMEP (2013-3B-26) 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. |
- | 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< | + | 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< |
=== Activity data === | === Activity data === | ||
Line 317: | Line 324: | ||
=== Emission factors === | === Emission factors === | ||
- | Tier 1 emission factors for TSP, PM< | + | Tier 1 emission factors for TSP, PM< |
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 365: | Line 372: | ||
==== 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< | + | 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< |
==== Recalculations ==== | ==== Recalculations ==== | ||
- | Table REC-4 shows the effects of recalculations on emissions of particulate matter. Changes in the years 1990 through | + | Table REC-4 shows the effects of recalculations on emissions of particulate matter. Changes in the years 2000 through |
- | //Table REC-4: Comparison of particle emissions (TSP, PM< | + | //Table REC-4: Comparison of particle emissions (TSP, PM< |
^ TSP, PM10, PM2.5 emissions from manure management, in Gg ||||||||||||||||| | ^ TSP, PM10, PM2.5 emissions from manure management, in Gg ||||||||||||||||| | ||
Line 381: | Line 388: | ||
^ PM< | ^ PM< | ||
+ | |||
+ | <WRAP center round info 60%> | ||
+ | For **pollutant-specific information on recalculated emission estimates for Base Year and 2019**, please see the pollutant specific recalculation tables following [[general: | ||
+ | </ | ||
===== Planned improvements ===== | ===== Planned improvements ===== | ||
No improvements are planned at present. | No improvements are planned at present. |