The EMEP4NL model applies one-way nested horizontal grids to the EMEP/MSC-W model in order to calculate concentrations and depositions over the Netherlands at a resolution of roughly 1–2 km. The EMEP4NL model was coupled with the SHERPA tool in order to develop a fast method for calculating the effects of ammonia emission reduction scenarios on reduced nitrogen components over the Netherlands. This method leads to a four orders of magnitude reduction in computation time and adequate accuracy compared to full scenario model runs with EMEP4NL. Here, we present the first results on how the combination of the EMEP4NL model and the SHERPA tool is used to determine the source allocation/impact per country and activity sector of reduced nitrogen components as modelled by EMEP4NL, using the source-receptor relations as derived by the SHERPA tool. The outcome of these EMEP4NL-SHERPA model runs is compared with calculations from the Dutch OPS (Operational Priority Substances) model. The latter model is used in the Netherlands for the yearly production of large-scale concentration and deposition maps of pollutants over the Netherlands. Since it is based on a source-receptor mechanism, source apportionment matrices of these calculations are readily available. In this paper, the EMEP4NL-SHERPA source allocation/impact results are extrapolated from a limited reduction (here, 30%) to a full reduction (i.e. 100%), in order to compare its results with the source apportionment results as calculated by the OPS-model.

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Source Apportionment/Allocation Calculations of Reduced Nitrogen Components Over the Netherlands at High Resolution with the EMEP4NL-SHERPA and the OPS-Model

  • Eric van der Swaluw,
  • Enrico Pisoni,
  • Ruben Verweij,
  • Philippe Thunis,
  • Addo van Pul

摘要

The EMEP4NL model applies one-way nested horizontal grids to the EMEP/MSC-W model in order to calculate concentrations and depositions over the Netherlands at a resolution of roughly 1–2 km. The EMEP4NL model was coupled with the SHERPA tool in order to develop a fast method for calculating the effects of ammonia emission reduction scenarios on reduced nitrogen components over the Netherlands. This method leads to a four orders of magnitude reduction in computation time and adequate accuracy compared to full scenario model runs with EMEP4NL. Here, we present the first results on how the combination of the EMEP4NL model and the SHERPA tool is used to determine the source allocation/impact per country and activity sector of reduced nitrogen components as modelled by EMEP4NL, using the source-receptor relations as derived by the SHERPA tool. The outcome of these EMEP4NL-SHERPA model runs is compared with calculations from the Dutch OPS (Operational Priority Substances) model. The latter model is used in the Netherlands for the yearly production of large-scale concentration and deposition maps of pollutants over the Netherlands. Since it is based on a source-receptor mechanism, source apportionment matrices of these calculations are readily available. In this paper, the EMEP4NL-SHERPA source allocation/impact results are extrapolated from a limited reduction (here, 30%) to a full reduction (i.e. 100%), in order to compare its results with the source apportionment results as calculated by the OPS-model.