Work Package 7

Updating of the spatial model

 
   

The objectives of this work package are to update the spatial model by including data from the 2016 census and new data on the natural gas grid. The new data sets will be used to update spatial distribution keys (GeoKeys), and form the basis of developing time-series profiles for GeoKeys where applicable. Further, additional point source data will be used to develop time-series for GeoKeys.

 

Currently, it has only been possible to derive spatial keys relevant for 2015. However, to increase the usability for air quality modelling, it would be relevant to have a time-series profiles for GeoKeys. Therefore, the spatial model will be updated taking into account new datasets that has become available. These data sets include the results of the 2016 census, which were not processed in time for incorporation in the first version of the spatial model, and new data on the natural gas grid. The new data will be used to update spatial distribution keys (GeoKeys), and form the basis of developing time-series for GeoKeys where applicable. Further, additional point source data will be used to develop time-series for GeoKeys.

Several improvements are planned as part of work package 7:

  • Incorporation of data from the 2016 census as well as earlier census
  • Incorporation of data from Gas Networks Ireland, if data become available, to improve the distribution from residential/commercial/industrial sources
  • Incorporation of 2000 agricultural census
  • Development of spatial profiles back in time based on historic data for point source emissions
  • Incorporation of traffic count data for earlier years, if data become available.
  • Incorporation of 2011 railway transport statistics
  • Development of spatial profiles back in time based on historic data for national aviation (LTO and cruise)
  • Development of spatial profiles for population, buildings and heat demand for earlier years if data are available in a applicable format

The development of time-series for the spatial profiles will significantly improve the usefulness of the model for modelling purposes, as air quality modelling will typically focus on modelling longer time-series, in order to establish a development in air quality and human exposure. This will consequently also make the output more relevant in terms of being used for health studies, where the long-term exposure is needed in order to assess links between air pollution and human health.