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sector:agriculture:start [2021/12/23 07:58] – [Recalculations and reasons] doering | sector:agriculture:start [2023/05/05 10:44] (current) – [Short description] doering | ||
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====== Chapter 5 - NFR 3 - Agriculture (OVERVIEW) ====== | ====== Chapter 5 - NFR 3 - Agriculture (OVERVIEW) ====== | ||
- | Emissions occurring in the agricultural sector in Germany derive from manure management (NFR 3.B), agricultural soils (NFR 3.D) and agriculture other (NFR 3.I). Germany does not report emissions in category field burning (NFR 3.F) (key note: NO), because burning of agricultural residues is prohibited by law (see Vos et al., 2022)((Vos, C., Rösemann C., Haenel H-D., Dämmgen U., Döring U., Wulf S., Eurich-Menden B., Freibauer A., Döhler H., Schreiner C., Osterburg B. & Fuß, R. (2022): Calculations of gaseous and particulate emissions from German Agriculture 1990 –2020. Report on methods and data (RMD), Submission 2022. Thünen Report (in preparation).https:// | ||
^ NFR-Code | ^ NFR-Code | ||
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Emissions occurring in the agricultural sector in Germany derive from manure management (NFR 3.B), agricultural soils (NFR 3.D) and agriculture other (NFR 3.I). | Emissions occurring in the agricultural sector in Germany derive from manure management (NFR 3.B), agricultural soils (NFR 3.D) and agriculture other (NFR 3.I). | ||
- | Germany does not report emissions in category field burning (NFR 3.F) (key note: NO), because burning of agricultural residues is prohibited by law (see Vos et al., 2022). | + | Germany does not report emissions in category field burning (NFR 3.F) (key note: NO), because burning of agricultural residues is prohibited by law (see Rösemann |
The pollutants reported are: | The pollutants reported are: | ||
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No heavy metal emissions are reported. | No heavy metal emissions are reported. | ||
- | In 2020 the agricultural sector emitted | + | In 2021 the agricultural sector emitted |
- | As depicted in the diagram below, in 2020 95.4 % of Germany’s total NH< | + | As depicted in the diagram below, in 2021 93.5 % of Germany’s total NH< |
- | HCB emissions of pesticide use contributed | + | HCB emissions of pesticide use contributed |
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* changes in animal numbers and amount of applied fertilizers | * changes in animal numbers and amount of applied fertilizers | ||
- | * air scrubbing techniques: yearly updated 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< | + | * air scrubbing techniques: yearly updated 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) |
* reduced raw protein content in feeding of fattening pigs: the german animal nutrition association (DVT, Deutscher Verband Tiernahrung e.V.) provides data on the raw protein content of fattening pig feed, therefore enabling the inventory to depict the changes in N-excretions over the time series. The time series is calibrated using data from official and representative surveys conducted by the Federal Statistical Office. | * reduced raw protein content in feeding of fattening pigs: the german animal nutrition association (DVT, Deutscher Verband Tiernahrung e.V.) provides data on the raw protein content of fattening pig feed, therefore enabling the inventory to depict the changes in N-excretions over the time series. The time series is calibrated using data from official and representative surveys conducted by the Federal Statistical Office. | ||
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* covering of slurry storage: agricultural censuses survey the distribution of different slurry covers. Germany uses distinct emission factors for the different covers. | * covering of slurry storage: agricultural censuses survey the distribution of different slurry covers. Germany uses distinct emission factors for the different covers. | ||
- | * use of urease inhibitors: for urea fertilizer the German fertilizer ordinance prescribes the use of urease inhibitors or the direct incorporation into the soil from 2020 onwards. | + | * use of urease inhibitors: for urea fertilizer the German fertilizer ordinance prescribes the use of urease inhibitors or the direct incorporation into the soil from 2020 onwards.The NH< |
- | The NH< | ||
For NO< | For NO< | ||
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(see [[general: | (see [[general: | ||
- | The following list summarizes, the most important reasons for recalculations. Recalculations result from improvements in input data and methodologies (for details see Rösemann et al. (2021), Chapter 3.5.2). | + | The following list summarizes the most important reasons for recalculations. Recalculations result from improvements in input data and methodologies (for details see Rösemann et al. (2023), Chapter |
- | The following list summarizes | + | 1) The results used from the 2020 agricultural census (LZ 2020) on the proportions of husbandry, storage or application methods and grazing were assumed to be true for the year 2019 and not for the year 2020 as in Submission |
- | 1) Incorporation | + | 2) Deep bedding systems: As of the submission at hand, it is assumed that the NH< |
- | 2) Dairy cows: Update of milk yield and slaughter | + | 3) Dairy cows: Milk yield and slaughter |
- | 3) Heifers: | + | 4) Heifers: |
- | 4) Suckler cows: modeling of the energy requirement | + | 5) Male beef cattle: In some years, slaughter ages and slaughter weights have been updated |
- | 5) Male cattle | + | 6) Pigs: Air scrubbing techniques: From the 2020 agricultural census, for the first time official data on the number of air scrubbing systems were available. These data were used to derive a distinction between systems of “first” and “second” class (the latter having normal removal efficiency concerning TSP, PM< |
+ | but reduced removal efficiency for NH< | ||
- | 6) Sows: Update of the number of piglets per sow in 2019. | + | 7) Sows: For Lower Saxony, |
- | 7) Fattening pigs: New data on raw protein content, | + | 8) Fattening pigs: The results of the additional survey " |
- | 8) Broilers: | + | 9) Broilers: Update of the national gross production of broiler meat in 2020. |
- | 9) Turkeys: Update | + | 10) Laying hens: Introduction |
- | + | ||
- | 10) Geese: update (increase) of the amount of bedding material (straw) and update (increase) of N-excretions | + | |
11) Laying hens: Improved interpolation of start weights and final weights for the whole time series. | 11) Laying hens: Improved interpolation of start weights and final weights for the whole time series. | ||
- | 12) Pullets: Improved interpolation of start weights | + | 12) TSP, PM< |
- | 13) Anaerobic digestion | + | 13) Application |
- | + | ||
- | 14) Mineral fertilizers: | + | |
- | 15) Application of sewage sludge to soils: Update of activity data in 2018 and 2019. Minor corrections | + | 14) Other organic fertilizers. As of the submission at hand, application emissions from digested waste, compost from biowaste, and compost from green waste are reported |
- | 16) Anaerobic digestion of energy crops: Update of activity data in 2019. | + | 15) Anaerobic digestion of energy crops: Update of activity data in 2020. |
- | + | ||
- | 17) Soils: Minor corrections of cultivated areas and yields in several years. | + | |
- | 18) Pesticides: Recalculations were made for the complete time series due to the changes and new information given by the BVL for the amount of domestic sales of the active substances | + | 16) Pesticides: Recalculations were made for the complete time series due to the changes and new information given by the BVL for the amount of domestic sales of the active substances |
+ | ===== Visual overview ===== | ||
- | ===== Visual overview ===== | + | __Emission |
- | __Chart showing emission | + | {{ : |
- | [{{: | + | {{ : |
- | __Contribution of NFR categories | + | |
- | [{{:sector:cats_pollutants_inkl_transport.png?nolink& | + | __Contribution of NFRs 1 to 6 to the National Totals, for 2021__ |
+ | {{ :sector:mainpollutants_sharesnfrs_incl_transport.png?direct& | ||
===== Specific QA/QC procedures for the agriculture sector===== | ===== Specific QA/QC procedures for the agriculture sector===== | ||
Numerous input data were checked for errors resulting from erroneous transfer between data sources and the tabular database used for emission calculations. | Numerous input data were checked for errors resulting from erroneous transfer between data sources and the tabular database used for emission calculations. | ||
- | The German IEFs and other data used for the emission calculations were compared with EMEP default values and data of other countries (see Rösemann et al. (2021)). | + | The German IEFs and other data used for the emission calculations were compared with EMEP default values and data of other countries (see Rösemann et al., 2023). |
- | Changes of data and methodologies are documented in detail (see Rösemann et al. 2021, Chapter 3.5.2). | + | Changes of data and methodologies are documented in detail (see Rösemann et al. 2023, Chapter |
- | A comprehensive review of the emission calculations was carried out by comparisons with the results of Submission | + | A comprehensive review of the emission calculations was carried out by comparisons with the results of Submission |
- | Once emission calculations with the German inventory model GAS-EM are completed for a specific submission, activity data (AD) and implied emission factors (IEFs) are transferred to the CSE database (Central System of Emissions) to be used to calculate the respective emissions within the CSE. These CSE emission results are then cross-checked with the emission results obtained by GAS-EM. | + | Once emission calculations with the German inventory model Py-GAS-EM are completed for a specific submission, activity data (AD) and implied emission factors (IEFs) are transferred to the CSE database (Central System of Emissions) to be used to calculate the respective emissions within the CSE. These CSE emission results are then cross-checked with the emission results obtained by Py-GAS-EM. |
Model data have been verified in the context of a project by external experts (Zsolt Lengyel, Verico SCE). Results show that input data are consistent with other data sources (Eurostat, Statistisches Bundesamt / Federal Statistical Office) and that the performed calculations are consistently and correctly applied in line with the methodological requirements. | Model data have been verified in the context of a project by external experts (Zsolt Lengyel, Verico SCE). Results show that input data are consistent with other data sources (Eurostat, Statistisches Bundesamt / Federal Statistical Office) and that the performed calculations are consistently and correctly applied in line with the methodological requirements. | ||
- | Furthermore, | + | Furthermore, |