1 / 24

Hans Erbrink and Henk Spoelstra, Materials, Environment & Chemistry KEMA Presented at the Dustconf Congress, Apr

Analysis of measured and modeled PM10 concentrations in the Rijnmond a large industrialized area in the Netherlands. Hans Erbrink and Henk Spoelstra, Materials, Environment & Chemistry KEMA Presented at the Dustconf Congress, April 23- 24, Maastricht, Netherlands. KEMA in 2007.

aiden
Download Presentation

Hans Erbrink and Henk Spoelstra, Materials, Environment & Chemistry KEMA Presented at the Dustconf Congress, Apr

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Analysis of measured and modeled PM10 concentrations in the Rijnmond a large industrialized area in the Netherlands Hans Erbrink and Henk Spoelstra, Materials, Environment & Chemistry KEMA Presented at the Dustconf Congress, April 23- 24, Maastricht, Netherlands

  2. KEMA in 2007 • Established in 1927 (80th anniversary!) • Annual Revenues US$ 200 Million • Over 1500 Professionals • Over 450 Clients in more than 70 Countries, 5

  3. KEMA’s activities • Consultancy • Testing • R&D • Services from KEMA Emissions management group vary from R&D, measurements, modeling, certification and verification (for emissions trade scheme)

  4. The problem • PM10 concentrations in NL are close to limit values • The harbor of Rotterdam needs to be extended (plus 1000 ha of business area) • How to comply with EU directives? • How big are contributions of local sources? • What are the causes of high PM10 levels Knowledge of the Pm10 concentrationsis needed

  5. Our approach • Make an inventory of local emissions (DCMR-data) • Use back ground concentrations from the National Monitoring network (RIVM) • Perform model calculations with KEMA STACKS • Analyse measured data of PM10; look for correlations with other parameters. • Draw conclusions

  6. Measurements and projections • Data are available from Dutch governmental organizations, e,g, from the Dutch Institute of Environment and Public Health (RIVM); projections show “red zones”….

  7. Local emissions quantifications • Total emissions for PM10 in the Rijnmond area are roughly 2200 tons/a, distributed over several sectors:

  8. Modelling point sources: STACKS=Dutch Nat. Model Features: Hour-by-hour modellingAdvanced meteo-modelGaussian model includes NO2 formationdeposition (wet+dry) • Emissions of: • point sources • area sources • road traffic • ships

  9. STACKS: Basics • In principle: simple • 4 parameters: and all concentrations are determined • Surprising good in comparison with measurements

  10. STACKS: Basics measurements Standard meteo Sigma-y turbulence Sigma-z Mixing height (Zi) Plume height L, u* roughness Inversion penetration Wind profile Temp-profile Wind speed Plume height Empirical input

  11. Semented Semented lijnbron Line source model model Uur hour - - by voor - - uur hour Calculation of Berekenen Invoer input van pm10/ pm10 / NO2 NOx Canyon Canyon data gegevens concentrations concentraties model model NNM NNM Puntbron stationary / diffuse sources bronnen GCN’s GCN’s ( ( Back ground achtergrond ) ) STACKS+: several submodels High waysships streets Conc. Industry, others Back ground

  12. Case study: assessment of contributors

  13. Case study: assessment of contributors

  14. Model results for PM10yearly averages

  15. Model results for PM 10 on days with Cpm10> 50 µg/m3

  16. Conclusions from model results • PM10: dominated by background • Large point sources: very small contribution • Bulk storages (significant contribution; with adequate measures: small contribution) • Traffic: (road, ships); on a local scale significant (NO2) or small (pm10) contributions • Contributions of local sources is the same on days with PM10>50 ug/m3 and other days.

  17. What causes the high pm10 conc?

  18. What causes the high pm10 conc? • No strong correlations with wind, clouds, prep etc • High concentrations: 2/3 clustered in episodes (4-14 days) • At all locations: exceedings •  Large scale effect

  19. What causes the high pm10 conc? Grosswetterlagen!German for large scale circulation type

  20. GWL and pm10 conc GWL for each dayin 2003 Yellow: PM10 > 50 ug/m3

  21. GWL and pm10 conc GWL for each dayin 2004 Yellow: PM10 > 50 ug/m3

  22. GWL and pm10 conc

  23. What causes the high pm10 conc? • High pressure systems in Europe* no precipitation* capping inversion (500-1500 m)* several days: accumulation • Local contributions are small • Measures on a local scale have limited effect • To reduce PM10 levels, measures om a European and (addional) national scale are needed. • (to reduce NO2 levels, local measures are much more helpful)

  24. Analysis of measured and modeled PM10 concentrations in the Rijnmond a large industrialized area in the Netherlands Thanks for your attention

More Related