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sector:agriculture:start [2021/02/09 18:01] – [Short description] 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 did not allocate emissions to category field burning (NFR 3.F) (key note: NO), because burning of agricultural residues is prohibited by law (see Rösemann et al., 2021 ((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 (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 | + | Germany |
The pollutants reported are: | The pollutants reported are: | ||
- | * ammonia (NH< | + | * |
* | * | ||
* | * | ||
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No heavy metal emissions are reported. | No heavy metal emissions are reported. | ||
- | In 2019 the agricultural sector emitted | + | In 2021 the agricultural sector emitted |
- | As displayed | + | As depicted |
- | HCB emissions of pesticide use contributed | + | HCB emissions of pesticide use contributed |
- | ===== Recalculations and reasons ===== | ||
+ | ====Mitigation measures==== | ||
- | (see [[general:recalculations: | + | The agricultural inventory model can represent several abatement measures for emissions of NH< |
- | The following list summarizes, the most important reasons for recalculations. Recalculations result from improvements | + | * changes |
- | 1) Dairy cows and calves: Adjustment | + | * 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) and from the agricultural census 2020. The average removal efficiency |
- | 2) Heifers: Subdivision into dairy and slaughter heifers with different final weights; adaptation | + | * 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 |
- | 3) Male beef cattle: Adjustment of feeding | + | * reduced raw protein content in feeding |
+ | |||
+ | * low emission spreading techniques | ||
+ | |||
+ | * covering of slurry | ||
+ | |||
+ | * 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< | ||
+ | |||
+ | |||
+ | For NO< | ||
+ | |||
+ | |||
+ | ===== Reasons for recalculations ===== | ||
+ | |||
+ | |||
+ | (see [[general: | ||
- | 4) Male cattle > 2 years: update | + | The following list summarizes the most important reasons for recalculations. Recalculations result from improvements in input data and methodologies |
- | 5) Cattle grazing: | + | 1) The results used from the 2020 agricultural census (LZ 2020) on the proportions of husbandry, storage or application methods and grazing |
- | 6) Sows: Update | + | 2) Deep bedding systems: As of the submission at hand, it is assumed that the NH< |
- | 7) Fattening pigs and weaners: Update of animal numbers, starting weights | + | 3) Dairy cows: Milk yield and slaughter |
- | 8) All pigs except boars: Update of activity data of air scrubbing systems | + | 4) Heifers: 2020 slaughter weights have been slightly corrected |
- | 9) Sheep, laying hens, broilers, pullets: Update of the NH< | + | 5) Male beef cattle: In some years, slaughter ages and slaughter weights have been updated in the HIT database. |
- | 10) Broilers: Update of the national gross production of broiler meat in 2018; update of activity | + | 6) Pigs: Air scrubbing techniques: From the 2020 agricultural census, for the first time official |
+ | but reduced removal efficiency for NH< | ||
- | 11) Turkeys: Recalculation of the final weights | + | 7) Sows: For Lower Saxony, |
- | 12) Anaerobic digestion of animal manures: Update | + | 8) Fattening pigs: The results |
- | 13) Mineral fertilizers, | + | 9) Broilers: Update |
- | 14) Application of sewage sludge to soils: Update | + | 10) Laying hens: Introduction |
- | 15) Anaerobic digestion of energy crops: Update | + | 11) Laying hens: Improved interpolation |
+ | |||
+ | 12) TSP, PM< | ||
- | 16) Crop residues: Minor corrections | + | 13) Application of sewage sludge to soils: Replacement |
+ | 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 in the agriculture sector (3.D.a.2.c) for the first time. These emissions were included implicitly in the waste sector before. | ||
+ | 15) Anaerobic digestion of energy crops: Update of activity data in 2020. | ||
- | ==== Visual overview ==== | + | 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 atrazine, simazine, propazine and quintozine. |
- | Chart showing emission trends for main pollutants in NFR 3 - Agriculture: | ||
+ | ===== Visual overview ===== | ||
- | 2019 emissions by sector | + | __Emission trends for main pollutants in //NFR 3 - Agriculture//: |
+ | {{ :sector: | ||
+ | {{ : | ||
- | Click to enlarge. | + | __Contribution of NFRs 1 to 6 to the National Totals, for 2021__ |
+ | {{ : | ||
===== 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, |