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MODELS AND MONITORING NSL 
1 SEPA | December 2014
Contents 
● 
Air Quality models in the Netherlands 
● 
Monitoring of the NSL 
● 
Monitoring Tool 
● 
Exceedances 
● 
Uncertainties 
● 
Air Quality presently in the NL 
2 SEPA | December 2014
AIR QUALITY MODELS 
3 SEPA | December 2014
Standard Calculation Models Air Quality (SRM) 
● 
Dutch law provides 3 Standard Calculation Models Air Quality (SRM) 
– 
SRM-1 for streets / street canyons in an urban environment 
– 
SRM-2 along highways and larger other roads 
– 
SRM-3 near industrial facilities 
● 
These models are described in detail in several documents. 
● 
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. 
● 
Wind tunnel experiments are also allowed, provided a specific protocol is followed. 
● 
The RIVM advises the minister of Infrastructure and the Environment on model approval. 
4 SEPA | December 2014
Netherlands: traffic and livestock important 
● 
For traffic the local authorities must provide 
– 
The exact location and height of the main roads 
– 
Numbers of light, medium-heavy, heavy vehicles and busses 
– 
Average speed and appropriate emission class 
– 
Average congestion and appropriate emission class 
– 
Location and shape of sound barriers 
● 
For livestock the local authorities must provide 
– 
numbers of animals 
– 
Type of housing 
– 
Exact location 
● 
For traffic and livestock the emission factors are provided by the Dutch government. 
5 SEPA | December 2014
Model system 
Background (double counting) 
+ Local streets SRM1 
+ Highways  SRM2 
+ Industry / livestock  SRM3 
6 SEPA | December 2014
Large-scale backgrounds NO2 
• 
RIVM prepares maps on a 1x1 km2 resolution. 
• 
Recent years are calibrated using measurements. 
• 
Predictions based on 
• 
Economy 
• 
Technology 
• 
NL / EU 
7 SEPA | December 2014
Large-scale backgrounds PM10 
8 SEPA | December 2014
Model system 
Simple empirical model, derived from wind tunnel, calibrated using field measurements 
Background (double counting) 
+ Local streets SRM1 
+ Highways  SRM2 
+ Industry / livestock  SRM3 
9 SEPA | December 2014
Model system 
Gaussian dispersion model, yearly average values only. Calibrated using field measurements. 
Background (double counting) 
+ Local streets SRM1 
+ Highways  SRM2 
+ Industry / livestock  SRM3 
10 SEPA | December 2014
Model system 
Gaussian dispersion model, hourly and yearly average values. 
Background (double counting) 
+ Local streets SRM1 
+ Highways  SRM2 
+ Industry / livestock  SRM3 
11 SEPA | December 2014
NO2, data 2010 - 2013 
Extensive model validation, mainly for NO2, some NOx, PM10 
12 SEPA | December 2014
NL versus UK, 2010, NO2 
13 SEPA | December 2014
MONITORING NSL 
14 SEPA | December 2014
15 
Monitoring NSL 
● 
All emissions, background calculations, local model results, corrections etc are combined in the yearly Monitoring report of the NSL. 
● 
The report is send to the Dutch parliament around December of each year. 
● 
There is a lot of public interest. 
● 
RIVM tries to provide the inputs and results in a transparant way. 
● 
Some of the input is checked and commented. 
SEPA | December 2014
16 
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) 
SEPA | December 2014
17 
Quality of the monitoring 
● 
Critical review (Wesseling en Beijk, 2010): system with great potential but also some issues: 
– 
Quality of input data and effects of measures: limited quality control and documentation (in 2010). 
– 
Actualization process: focus on limit values, quite a number of errors. 
– 
Large uncertainties: focus on limit values, without a margin for uncertainties leads to a predictable number of ‘hidden’ exceedances. 
– 
Completeness: only the larger projects are included in the NSL monitoring. 
– 
Health: there was not enough focus on health effects (in 2010). 
SEPA | December 2014
MONITORING TOOL 
https://www.nsl-monitoring.nl 
18 SEPA | December 2014
19 SEPA | December 2014
20 SEPA | December 2014 
Show locations Show roads Show transfers Measures Corrections All roads Topography 
Select monitor 
Monitoring round 
Year to view 
Jurisdiction
21 SEPA | December 2014
22 SEPA | December 2014 
Amsterdam
23 SEPA | December 2014 
Amsterdam
24 SEPA | December 2014 
Concentrations, NO2, 2013
25 SEPA | December 2014 
Intensities traffic, 2013
26 SEPA | December 2014 
Road types, 2013
27 SEPA | December 2014 
Speed type, 2013
28 SEPA | December 2014 
Congestion, 2013
29 SEPA | December 2014 
Calculation transfer, 2013
30 SEPA | December 2014 
Detail concentration
31 SEPA | December 2014 
Detail traffic
32 SEPA | December 2014 
Detail transfer
33 SEPA | December 2014 
Areas with measures
34 SEPA | December 2014 
Areas with measures
35 SEPA | December 2014 
Areas with measures
EXCEEDANCES 2015  
36 SEPA | December 2014
37 SEPA | December 2014 
Amsterdam, NO2, 2013
38 SEPA | December 2014 
Amsterdam, NO2, 2015
39 SEPA | December 2014 
Rotterdam, NO2, 2013
40 SEPA | December 2014 
Rotterdam, NO2, 2015
41 SEPA | December 2014 
Rotterdam, NO2, 2020
Exceedances 2013, calculated NSL 
42 SEPA | December 2014 
Near livestock 
NO2, all PM10 daily limit PM10 near livestock
Exceedances 2015, calculated NSL 
43 SEPA | December 2014 
NO2, all PM10 daily limit
UNCERTAINTIES 
44 SEPA | December 2014
The effects of uncertainties 
● 
All calculations and measurements are uncertain. 
● 
The results of calculations for the NSL are subject to different types of uncertainties. 
– 
Systematic: are the general basis assumptions regarding back grounds and emission factors correct? 
– 
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. 
45 SEPA | December 2014
Effect systematic uncertainties NSL 
• 
Predictions for the future have an uncertainty of 20- 30% 
• 
In the Netherlands many concentrations are just below limit values. 
• 
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  
46 SEPA | December 2014
Effect random uncertainties NSL 
Highest concentrations, sorted 
Expected NO2 in 2015 
Limit value (40.5) 
NO2 concentration [ug/m3]  
47 SEPA | December 2014
Effect random uncertainties NSL 
Expected NO2 in 2015 
Limit value (40.5) 
NO2 concentration [ug/m3]  
48 SEPA | December 2014
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 
49 SEPA | December 2014
AIR QUALITY NOW 
50 SEPA | December 2014
51 SEPA | December 2014 
National network NO2, trend 
Rural urban street
52 SEPA | December 2014 
Rural urban street 
National network 
PM10, trend
53 SEPA | December 2014 
National network PM2.5, trend 
Rural urban street
2013 
54 SEPA | December 2014
2013 
55 SEPA | December 2014
56 
SEPA | December 2014

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Scottish Urban Air Quality Steering Group - Modelling & Monitoring Workshop - Joost Wesseling

  • 1. MODELS AND MONITORING NSL 1 SEPA | December 2014
  • 2. Contents ● Air Quality models in the Netherlands ● Monitoring of the NSL ● Monitoring Tool ● Exceedances ● Uncertainties ● Air Quality presently in the NL 2 SEPA | December 2014
  • 3. AIR QUALITY MODELS 3 SEPA | December 2014
  • 4. Standard Calculation Models Air Quality (SRM) ● Dutch law provides 3 Standard Calculation Models Air Quality (SRM) – SRM-1 for streets / street canyons in an urban environment – SRM-2 along highways and larger other roads – SRM-3 near industrial facilities ● These models are described in detail in several documents. ● 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. ● Wind tunnel experiments are also allowed, provided a specific protocol is followed. ● The RIVM advises the minister of Infrastructure and the Environment on model approval. 4 SEPA | December 2014
  • 5. Netherlands: traffic and livestock important ● For traffic the local authorities must provide – The exact location and height of the main roads – Numbers of light, medium-heavy, heavy vehicles and busses – Average speed and appropriate emission class – Average congestion and appropriate emission class – Location and shape of sound barriers ● For livestock the local authorities must provide – numbers of animals – Type of housing – Exact location ● For traffic and livestock the emission factors are provided by the Dutch government. 5 SEPA | December 2014
  • 6. Model system Background (double counting) + Local streets SRM1 + Highways  SRM2 + Industry / livestock  SRM3 6 SEPA | December 2014
  • 7. Large-scale backgrounds NO2 • RIVM prepares maps on a 1x1 km2 resolution. • Recent years are calibrated using measurements. • Predictions based on • Economy • Technology • NL / EU 7 SEPA | December 2014
  • 8. Large-scale backgrounds PM10 8 SEPA | December 2014
  • 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 9 SEPA | December 2014
  • 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 10 SEPA | December 2014
  • 11. Model system Gaussian dispersion model, hourly and yearly average values. Background (double counting) + Local streets SRM1 + Highways  SRM2 + Industry / livestock  SRM3 11 SEPA | December 2014
  • 12. NO2, data 2010 - 2013 Extensive model validation, mainly for NO2, some NOx, PM10 12 SEPA | December 2014
  • 13. NL versus UK, 2010, NO2 13 SEPA | December 2014
  • 14. MONITORING NSL 14 SEPA | December 2014
  • 15. 15 Monitoring NSL ● All emissions, background calculations, local model results, corrections etc are combined in the yearly Monitoring report of the NSL. ● The report is send to the Dutch parliament around December of each year. ● There is a lot of public interest. ● RIVM tries to provide the inputs and results in a transparant way. ● Some of the input is checked and commented. SEPA | December 2014
  • 16. 16 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) SEPA | December 2014
  • 17. 17 Quality of the monitoring ● Critical review (Wesseling en Beijk, 2010): system with great potential but also some issues: – Quality of input data and effects of measures: limited quality control and documentation (in 2010). – Actualization process: focus on limit values, quite a number of errors. – Large uncertainties: focus on limit values, without a margin for uncertainties leads to a predictable number of ‘hidden’ exceedances. – Completeness: only the larger projects are included in the NSL monitoring. – Health: there was not enough focus on health effects (in 2010). SEPA | December 2014
  • 19. 19 SEPA | December 2014
  • 20. 20 SEPA | December 2014 Show locations Show roads Show transfers Measures Corrections All roads Topography Select monitor Monitoring round Year to view Jurisdiction
  • 21. 21 SEPA | December 2014
  • 22. 22 SEPA | December 2014 Amsterdam
  • 23. 23 SEPA | December 2014 Amsterdam
  • 24. 24 SEPA | December 2014 Concentrations, NO2, 2013
  • 25. 25 SEPA | December 2014 Intensities traffic, 2013
  • 26. 26 SEPA | December 2014 Road types, 2013
  • 27. 27 SEPA | December 2014 Speed type, 2013
  • 28. 28 SEPA | December 2014 Congestion, 2013
  • 29. 29 SEPA | December 2014 Calculation transfer, 2013
  • 30. 30 SEPA | December 2014 Detail concentration
  • 31. 31 SEPA | December 2014 Detail traffic
  • 32. 32 SEPA | December 2014 Detail transfer
  • 33. 33 SEPA | December 2014 Areas with measures
  • 34. 34 SEPA | December 2014 Areas with measures
  • 35. 35 SEPA | December 2014 Areas with measures
  • 36. EXCEEDANCES 2015  36 SEPA | December 2014
  • 37. 37 SEPA | December 2014 Amsterdam, NO2, 2013
  • 38. 38 SEPA | December 2014 Amsterdam, NO2, 2015
  • 39. 39 SEPA | December 2014 Rotterdam, NO2, 2013
  • 40. 40 SEPA | December 2014 Rotterdam, NO2, 2015
  • 41. 41 SEPA | December 2014 Rotterdam, NO2, 2020
  • 42. Exceedances 2013, calculated NSL 42 SEPA | December 2014 Near livestock NO2, all PM10 daily limit PM10 near livestock
  • 43. Exceedances 2015, calculated NSL 43 SEPA | December 2014 NO2, all PM10 daily limit
  • 44. UNCERTAINTIES 44 SEPA | December 2014
  • 45. The effects of uncertainties ● All calculations and measurements are uncertain. ● The results of calculations for the NSL are subject to different types of uncertainties. – Systematic: are the general basis assumptions regarding back grounds and emission factors correct? – 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. 45 SEPA | December 2014
  • 46. Effect systematic uncertainties NSL • Predictions for the future have an uncertainty of 20- 30% • In the Netherlands many concentrations are just below limit values. • 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  46 SEPA | December 2014
  • 47. Effect random uncertainties NSL Highest concentrations, sorted Expected NO2 in 2015 Limit value (40.5) NO2 concentration [ug/m3]  47 SEPA | December 2014
  • 48. Effect random uncertainties NSL Expected NO2 in 2015 Limit value (40.5) NO2 concentration [ug/m3]  48 SEPA | December 2014
  • 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 49 SEPA | December 2014
  • 50. AIR QUALITY NOW 50 SEPA | December 2014
  • 51. 51 SEPA | December 2014 National network NO2, trend Rural urban street
  • 52. 52 SEPA | December 2014 Rural urban street National network PM10, trend
  • 53. 53 SEPA | December 2014 National network PM2.5, trend Rural urban street
  • 54. 2013 54 SEPA | December 2014
  • 55. 2013 55 SEPA | December 2014
  • 56. 56 SEPA | December 2014