| ... | ... | @@ -20,7 +20,7 @@ The indirect N2O emissions as a result of leaching and surface runoff are calcul |
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[Eysholdt et al. (2022)](https://juser.fz-juelich.de/record/916954/files/Journal%20of%20Plant%20Nutrition%20and%20Soil%20Science%20-%202022%20-%20Eysholdt%20-%20A%20model%E2%80%90based%20estimate%20of%20nitrate%20leaching%20in%20Germany%20for.pdf) estimated regional and dynamic fracleach values by combining different models. High resolution input data on the production of animals and crop, as well as on climatic and hydrological factors were used as input data, regarding the time between 2014-2016. As studies found that N surplus is a better predictor of N leaching than N input (De Notaris et al. 2018),the N surplus as well as the N losses through leaching were modeled on a high resolution by a combination of different models. This was done for the years 2014-2016, for which the calculations were averaged to prevent outliers. The N conversion processes in the soil were modeled with the DENUZ model (Kunkel & Wendland, 2006). As the high resolution spatial data for the leaching model were only available for the years 2014-2016 a regional transfer coefficient was calculated:
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{width=187 height=45}
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{width="187" height="45"}
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Where NLeach,ref is the average annual amount of N leached in 2014–2016 modeled with RAUMIS-mGROWA-DENUZ and NSurplus,ref is the average N surplus in the same years. This coefficient was used for the whole time series to determine the regional share of the N surplus that is prone to leaching. The transfer coefficients were calculated at NUTS-1 level. The federal state Lower Saxony was divided into two regions: the north-west of the state, where livestock densities are especially high, and the south-east of the state with low livestock densities. The three City states were merged with neighboring federal states. The methodology is described in detail in [Eysholdt et al. (2022)](https://juser.fz-juelich.de/record/916954/files/Journal%20of%20Plant%20Nutrition%20and%20Soil%20Science%20-%202022%20-%20Eysholdt%20-%20A%20model%E2%80%90based%20estimate%20of%20nitrate%20leaching%20in%20Germany%20for.pdf).
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| ... | ... | @@ -42,21 +42,21 @@ Since Submission 2024 Frac<sub>LEACH</sub> is calculated for each district and e |
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## Activity data
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The amount of leached N (_m_<sub>leach</sub>) that leads to indirect N<sub>2</sub>O emissions is calculated by multiplying an amount of N (_m_<sub>N, </sub>see Equation below) with the leaching factor _Frac_<sub>leach</sub>.
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The amount of leached N (m<sub>leach</sub>) that leads to indirect N<sub>2</sub>O emissions is calculated by multiplying an amount of N (m<sub>N, </sub>see Equation below) with the leaching factor Frac<sub>leach</sub>.
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The amount of N available (_m_<sub>N</sub>) is defined as follows:
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The amount of N available (m<sub>N</sub>) is defined as follows:
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## Calculation of emissions
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The N<sub>2</sub>O emissions are calculated using a Tier 1 methodology according to [IPCC(2006)](/9-Literature#ipcc-intergovernmental-panel-on-climate-change-2006)-11.21, Equation 11.10:
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The N<sub>2</sub>O emissions are calculated using a Tier 1 methodology according to [IPCC(2019)](/9-Literature#ipcc-intergovernmental-panel-on-climate-change-2006)-11.23, Equation 11.10:
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The N<sub>2</sub>O-N emission factor is 0.0075 kg kg<sup>-1</sup>, see [IPCC (2006)](/9-Literature#ipcc-intergovernmental-panel-on-climate-change-2006)-11.24, Table 11.3.
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The N<sub>2</sub>O-N emission factor is 0.011 kg kg<sup>-1</sup>, see [IP](https://git-dmz.thuenen.de/vos/emissionsagriculture2024/-/wikis/9-Literature#ipcc-intergovernmental-panel-on-climate-change-2019)[CC (2019](/9-Literature#ipcc-intergovernmental-panel-on-climate-change-2006)[)](/9-Literature#ipcc-intergovernmental-panel-on-climate-change-2006)-11.26, Table 11.3.
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# Deposition of reactive nitrogen
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| ... | ... | @@ -78,7 +78,7 @@ The N<sub>2</sub>O-N emission factor is 0.0075 kg kg<sup>-1</sup>, see [IPCC (20 |
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<span dir="">The N<sub>2</sub>O-N emission factor _EF_<sub>N2O-N, dep</sub> is given as 0.01 kg kg<sup>-1</sup> (</span>[<span dir="">IPCC(2006)</span>](/9-Literature#ipcc-intergovernmental-panel-on-climate-change-2006)<span dir="">-11.24, Table 11.3).</span>
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<span dir="">The N<sub>2</sub>O-N emission factor \_EF\_<sub>N2O-N, dep</sub> is given as 0.01 kg kg<sup>-1</sup> (</span>[<span dir="">IPCC(2006)</span>](/9-Literature#ipcc-intergovernmental-panel-on-climate-change-2006)<span dir="">-11.24, Table 11.3).</span>
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The fractions described in the following have to be reported within the framework of emission reporting (CRF table 3.D). They are NOT used for the calculation of indirect emissions.
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| ... | ... | @@ -88,7 +88,7 @@ The fractions described in the following have to be reported within the framewor |
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<span dir="">In the German inventory the quantity Frac<sub>GASF</sub> is not used as an input parameter. It is back-calculated from input and output data once the emission calculations are terminated.</span>
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<span dir="">Frac<sub>GASF</sub> is primarily determined by NH<sub>3</sub>-N and, because of the different NH<sub>3</sub> emission factors of the various synthetic fertilizer types, especially by the synthetic fertilizer mix of the respective year: Because of the comparatively high emission factor of urea (see Chapter </span>[<span dir="">5.2.1.2</span>](/5-Crop-production-and-agricultural-soils/5.2-Air-pollutants-and-dust/5.2.1-NH3-emissions-from-crop-production-and-agricultural-soils/5.2.1.2-NH3-emissions-from-spreading-of-synthetic-fertilizers,-animal-manures,-digestates,-sewage-sludge,-compost)<span dir="">) there is a very good correlation of Frac<sub>GASF</sub> with the relative ratio _r_<sub>UN</sub> of urea-N to total synthetic fertilizer N, but only up to the year 2019, as the emission factor was lowered from 2020 onwards (see chapter </span>[<span dir="">5.2.1.2</span>](/5-Crop-production-and-agricultural-soils/5.2-Air-pollutants-and-dust/5.2.1-NH3-emissions-from-crop-production-and-agricultural-soils/5.2.1.2-NH3-emissions-from-spreading-of-synthetic-fertilizers,-animal-manures,-digestates,-sewage-sludge,-compost)<span dir="">).</span>
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<span dir="">Frac<sub>GASF</sub> is primarily determined by NH<sub>3</sub>-N and, because of the different NH<sub>3</sub> emission factors of the various synthetic fertilizer types, especially by the synthetic fertilizer mix of the respective year: Because of the comparatively high emission factor of urea (see Chapter </span>[<span dir="">5.2.1.2</span>](/5-Crop-production-and-agricultural-soils/5.2-Air-pollutants-and-dust/5.2.1-NH3-emissions-from-crop-production-and-agricultural-soils/5.2.1.2-NH3-emissions-from-spreading-of-synthetic-fertilizers,-animal-manures,-digestates,-sewage-sludge,-compost)<span dir="">) there is a very good correlation of Frac<sub>GASF</sub> with the relative ratio \_r\_<sub>UN</sub> of urea-N to total synthetic fertilizer N, but only up to the year 2019, as the emission factor was lowered from 2020 onwards (see chapter </span>[<span dir="">5.2.1.2</span>](/5-Crop-production-and-agricultural-soils/5.2-Air-pollutants-and-dust/5.2.1-NH3-emissions-from-crop-production-and-agricultural-soils/5.2.1.2-NH3-emissions-from-spreading-of-synthetic-fertilizers,-animal-manures,-digestates,-sewage-sludge,-compost)<span dir="">).</span>
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<span dir="">Chapter </span>[<span dir="">7</span>](/7%20International%20comparisons%20of%20results#soils-and-crops)<span dir=""> shows, for example, the German Frac<sub>GASF</sub> value for the penultimate time-series year. For the full time series, see Chapter </span>[<span dir="">8</span>](/8%20references%20to%20the%20data%20collection#soil-data)<span dir="">.</span>
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