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sector:agriculture:start [2022/12/14 11:03] – [Reasons for recalculations] doering | sector:agriculture:start [2024/12/13 10:20] (current) – [Visual overview] kotzulla | ||
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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 Rösemann | + | 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., 2024)((Vos C, 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 | + | The calculations for the present IIR 2024 were finished before |
- | As depicted in the diagram below, in 2021 XX % of Germany’s total NH< | + | In 2022 the agricultural sector emitted 469.3 Gg of NH< |
- | HCB emissions of pesticide use contributed XX % to the total German emissions. | + | |
+ | As depicted in the diagram below, in 2022 91.6 % of Germany’s total NH< | ||
====Mitigation measures==== | ====Mitigation measures==== | ||
- | + | The agricultural inventory model can represent several abatement measures for emissions of NH< | |
- | The agricultural inventory model can represent several abatement measures for emissions of NH< | + | |
* changes in animal numbers and amount of applied fertilizers | * changes in animal numbers and amount of applied fertilizers | ||
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* 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 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) and from the agricultural census 2020. The average removal efficiency of NH< | ||
- | * reduced raw protein content in feeding of fattening pigs: the german | + | * reduced raw protein content in feeding of fattening pigs: the German |
- | * reduced raw protein content in feeding and feed conversion rates of broilers: the German animal nutrition association (DVT, Deutscher Verband Tiernahrung e.V.) provides data on the raw protein content of fattening broiler feed, and feed conversion rates of broilers. This makes it possible to model the changes in N-excretions over the time series. | + | * reduced raw protein content in feeding and feed conversion rates of broilers: the German animal nutrition association (DVT, Deutscher Verband Tiernahrung e.V.) provides data on the raw protein content of fattening broiler feed, and feed conversion rates of broilers. This makes it possible to model the changes in N-excretions over the timeseries. |
* low emission spreading techniques of manure: official agricultural censuses survey the distribution of different manure spreading techniques and how fast organic fertilizers are incorporated into the soil. Germany uses distinct emission factors for different methods, techniques and incorporation durations. | * low emission spreading techniques of manure: official agricultural censuses survey the distribution of different manure spreading techniques and how fast organic fertilizers are incorporated into the soil. Germany uses distinct emission factors for different methods, techniques and incorporation durations. | ||
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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.The | + | * 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< | ||
- | 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 | + | The following list summarizes the most important reasons for recalculations. Recalculations result from improvements in input data and methodologies (for details see Vos et al. (2024), Chapter 1.3). |
- | 1) The results used from the 2020 agricultural census on the proportions | + | - New animal categories: In the present submission emissions |
+ | - Imported manure: Emissions from spreading manure that was imported from The Netherlands is reported for the first time in the present submission. | ||
+ | - Dairy cows: Milk yield and slaughter weights for 2021 have been slightly corrected in the official statistics. | ||
+ | - Heifers: 2021 slaughter weights have been slightly corrected in the official statistics. | ||
+ | - Male beef cattle: In some years, slaughter ages and slaughter weights have been updated in the HIT database. | ||
+ | - Numbers | ||
+ | - Sows: For several federal states, the number of piglets per sow and year was corrected | ||
+ | - Fattening pigs: for several federal states the growth rates, start weights | ||
+ | - Broilers: Update of the national gross production of broiler meat in 2021. | ||
+ | - Laying hens and pullets: due to new weight | ||
+ | - Application of inorganic fertilizers: | ||
+ | - Application of sewage sludge: Replacement of extrapolated activity data in 2021 with data from the Federal Statistical Office and corrections of activity data for years after 2006. | ||
+ | - Anaerobic digestion: Update of activity data in all years due to new data about underlying substrate characteristics and storage data. This applies to both digested energy crops and digested animal manure. | ||
- | 2) Deep bedding systems: As of the submission at hand, it is assumed that the NH3 emissions from deep litter systems are fully covered by the housing emissions and that the emission factor for storage emissions is 0. This was done because it can be assumed that in case of deep bedding systems manure will be spread immediately after removing it from the stable. This reduces the emissions from manure management while the emissions from application of manure (3.D.a.2.a) increases as more N is available for application. | ||
- | 3) Heifers: Minor changes in the nutrient content of some feed ingredients. | ||
- | 4) Suckler cows: modeling of the energy requirement and feed intake has been updated and adapted based on the dairy cow model. | ||
- | 5) Male cattle > 2 years: Update of weights from 1999 onwards. | + | ===== Visual overview ===== |
- | 6) Sows: Update of the number of piglets | + | __Emission trends for main pollutants in //NFR 3 - Agriculture// |
+ | {{ : | ||
+ | {{ : | ||
- | 7) Fattening pigs: New data on raw protein content, ash content and digestibility | + | __Contribution |
- | + | {{ :sector:mainpollutants_sharesnfrs_incl_transport.png? | |
- | 8) Broilers: New data on raw protein content, ash content and digestibility of feed from 2000 onwards. Update of the national gross production of broiler meat in 2019. | + | |
- | + | ||
- | 9) Turkeys: Update of input data (slaughter weight, weight gain and feed conversion coefficient) for the years 2017-2019. | + | |
- | + | ||
- | 10) Geese: update (increase) of the amount of bedding material (straw) and update (increase) of N-excretions 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 and final weights for the whole time series. | + | |
- | + | ||
- | 13) Anaerobic digestion of animal manures: Update of activity data in all years. | + | |
- | + | ||
- | 14) Mineral fertilizers: | + | |
- | + | ||
- | 15) Application of sewage sludge | + | |
- | + | ||
- | 16) Anaerobic digestion of energy crops: Update of activity data in 2019. | + | |
- | + | ||
- | 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 Lindane (1990 – 1997), Chlorothalonil and Picloram (2019) and the maximum amount of HCB in the active substance Chlorothalonil of the FAO specification was used for the calculation in the period 2005 - 2017. | + | |
- | + | ||
- | + | ||
- | + | ||
- | + | ||
- | ===== Visual overview ===== | + | |
- | __Chart showing emission trends for main pollutants in //NFR 3 - Agriculture//: | + | |
- | [{{:sector:iir_nfr3.png?nolink&direct& | + | |
- | [{{: | + | |
- | __Contribution | + | |
- | [{{: | + | |
===== 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 Vos et al., 2024). Changes of data and methodologies are documented in detail (see Vos et al. 2024, Chapter |
- | The German IEFs and other data used for the emission calculations were compared with EMEP default values and data of other countries (see Vos et al., 2022). | + | |
- | Changes of data and methodologies are documented in detail (see Vos et al. 2022, Chapter 3.5.2). | + | |
- | 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 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. | + | 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 | + | Furthermore, |
- | Furthermore, |