1. National inventories for Air Quality Management
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2. National inventories for Air Quality Management
National inventories for Air Quality Management
The national emission inventory is used by municipalities, national authorities and consultants
Emissions and trends used as markers for regional environmental objectives
National inventory used to estimate contribution on different scales : Europe, Sweden, Urban, Local
Requires high spatial resolution, preferrably bottom-up data
Regional contribution
Urban contribution
There are many objectives with the creation of a national inventory.
Standard usage - International reporting and large scale dispersion modeling
There are also a number of objectives to use the national inventory in the national environmental work.
In sweden we have tried as far as possible to cover requirements from international reporting as well as national usage. The requirements from national usage are the most demanding.
The national use is:
Dispersion modeling – on different scales
Evaluation of comliance with regional environmental obectives (county level)
Most demanding usage comes from dispersion modelling on urban and local scale
Local contribution

3. Mixing bottom-up and top-down, integrated in one system
Mixing bottom-up and top-down, integrated in one system
Sources represented as point sources, line sources, area sources, grid sources and mobile point-sources (ships)
All emission data stored in the AQM-system Airviro, and can be used directly in integrated dispersion models.
Accessible through a web interface
Publication at
Under development - Automizing the gridding process
Parameterizising the gridding process (statistics, geographic data, national totals…)
Yearly retroactive updating – for regional trend analysis
We are trying to handle and store all information on a basic level – not to loose any information. This means that we store emissions on individual sources if possible.
For some sectors no complete bottom-up data is available, for example residential combustion. We then use gridded emissions.
Large amounts of data, we try to keep all data available in the same system with standardized methods for export, aggregation etc.

4. Examples Bottom-Up National road data
Examples Bottom-Up National road data
Traffic flow modelled for the complete national road network
Defaults for temporal variation and fleet composition set depending on road type and location
I’d like to show a couple of examples.
A very important sector from an air quality perspective is road traffic.
Traffic emissions are calculated for all roads using the ARTEMIS emission factors.
A problem we are facing is that bottom-up estimations are seldom consistent with top-down estimations. In this case traffic flow modelling is updated every 3 years and the national inventory is updated every year. When gridding emissions from the road network, the grids are scaled to be consistent with national total emissions.

5. Examples Bottom-Up Emissions from shipping in northern Europe
Examples Bottom-Up Emissions from shipping in northern Europe
AIS - GPS positions of ships sent by VHF-radio
Ship characteristics (emission factors etc.) from Swedish Maritime Administration
Emissions calculated using Airviro
Shipping has long been a very uncertain sector. For Sweden, SO2 from shipping is more important than all land based sectors together. International shipping is not part of the reporting to EMEP, only national shipping, however for national environmental work it is necessary to include also this important source.
We have used data from AIS (Automatic Identification System) which is a complement to RADAR and a global standard. …
Emissions of NOx from shipping during April 2010