2. Contents
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Air Quality models in the Netherlands
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Monitoring of the NSL
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Monitoring Tool
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Exceedances
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Uncertainties
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Air Quality presently in the NL
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4. Standard Calculation Models Air Quality (SRM)
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Dutch law provides 3 Standard Calculation Models Air Quality (SRM)
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SRM-1 for streets / street canyons in an urban environment
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SRM-2 along highways and larger other roads
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SRM-3 near industrial facilities
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These models are described in detail in several documents.
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Other models are allowed if they are comparable to the SRM’s or if they can be applied to other situations than the SRM’s.
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Wind tunnel experiments are also allowed, provided a specific protocol is followed.
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The RIVM advises the minister of Infrastructure and the Environment on model approval.
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5. Netherlands: traffic and livestock important
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For traffic the local authorities must provide
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The exact location and height of the main roads
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Numbers of light, medium-heavy, heavy vehicles and busses
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Average speed and appropriate emission class
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Average congestion and appropriate emission class
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Location and shape of sound barriers
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For livestock the local authorities must provide
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numbers of animals
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Type of housing
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Exact location
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For traffic and livestock the emission factors are provided by the Dutch government.
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6. Model system
Background (double counting)
+ Local streets SRM1
+ Highways SRM2
+ Industry / livestock SRM3
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7. Large-scale backgrounds NO2
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RIVM prepares maps on a 1x1 km2 resolution.
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Recent years are calibrated using measurements.
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Predictions based on
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Economy
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Technology
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NL / EU
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9. Model system
Simple empirical model, derived from wind tunnel, calibrated using field measurements
Background (double counting)
+ Local streets SRM1
+ Highways SRM2
+ Industry / livestock SRM3
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10. Model system
Gaussian dispersion model, yearly average values only. Calibrated using field measurements.
Background (double counting)
+ Local streets SRM1
+ Highways SRM2
+ Industry / livestock SRM3
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11. Model system
Gaussian dispersion model, hourly and yearly average values.
Background (double counting)
+ Local streets SRM1
+ Highways SRM2
+ Industry / livestock SRM3
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12. NO2, data 2010 - 2013
Extensive model validation, mainly for NO2, some NOx, PM10
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15. 15
Monitoring NSL
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All emissions, background calculations, local model results, corrections etc are combined in the yearly Monitoring report of the NSL.
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The report is send to the Dutch parliament around December of each year.
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There is a lot of public interest.
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RIVM tries to provide the inputs and results in a transparant way.
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Some of the input is checked and commented.
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Monitoring NSL: data and responsibilities
Monitoring report (RIVM et al.)
Monitoring database
www.nsl-monitoring.nl - Update data (restricted) - View data (public)
Monitoringtool - Urban roads(SRM-1) - Rural roads, highways (SRM-2)
- Agriculture (SRM-3)
Generic input I.e. Emission factors, meteo, backgrounds concentrations (ministry IenM)
Local roads Roads and traffic data, effects of measures (local municipalities, natl. roads: rijkswaterstaat)
Schiphol Agriculture (ministry IenM)
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17. 17
Quality of the monitoring
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Critical review (Wesseling en Beijk, 2010): system with great potential but also some issues:
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Quality of input data and effects of measures: limited quality control and documentation (in 2010).
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Actualization process: focus on limit values, quite a number of errors.
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Large uncertainties: focus on limit values, without a margin for uncertainties leads to a predictable number of ‘hidden’ exceedances.
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Completeness: only the larger projects are included in the NSL monitoring.
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Health: there was not enough focus on health effects (in 2010).
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Show locations Show roads Show transfers Measures Corrections All roads Topography
Select monitor
Monitoring round
Year to view
Jurisdiction
45. The effects of uncertainties
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All calculations and measurements are uncertain.
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The results of calculations for the NSL are subject to different types of uncertainties.
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Systematic: are the general basis assumptions regarding back grounds and emission factors correct?
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Random: every concentration is calculated using many assumption. On average the assumptions will be correct but for a specific individual location the assumption may not be correct.
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46. Effect systematic uncertainties NSL
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Predictions for the future have an uncertainty of 20- 30%
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In the Netherlands many concentrations are just below limit values.
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Small changes in de predictions can have a significant effect of the number of exceedances.
Variation emission factors
Variation backgrounds
Expected NO2 exceedances in 2015
Expected NO2 exceedances in 2015
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47. Effect random uncertainties NSL
Highest concentrations, sorted
Expected NO2 in 2015
Limit value (40.5)
NO2 concentration [ug/m3]
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48. Effect random uncertainties NSL
Expected NO2 in 2015
Limit value (40.5)
NO2 concentration [ug/m3]
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49. Effect random uncertainties NSL
Expected NO2 in 2015
Limit value (40.5)
NO2 concentration [ug/m3]
Was exceedance Not any more
Turns out to be an exceedance
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