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IAC ETH Institute for Atmospheric and Climate Science R Road traffic emissions in d t ffi i i i Switzerland: Results from the Switzerland: Results from the Gubrist tunnel Johannes Staehelin Johannes Staehelin Institute for Atmospheric


  1. IAC ETH Institute for Atmospheric and Climate Science R Road traffic emissions in d t ffi i i i Switzerland: Results from the Switzerland: Results from the Gubrist tunnel Johannes Staehelin Johannes Staehelin Institute for Atmospheric and Climate Science (IACETH), Swiss Federal Institute of Technology Zürich (ETHZ) U i Universitätstrasse 16 ität t 16 CH-8092 Zürich, Switzerland email: Johannes.Staehelin@env.ethz.ch email: Johannes.Staehelin@env.ethz.ch

  2. 1 Introduction 1. Introduction • Road traffic important anthropogenic source of primary pollutants p y p • Emission inventory description: E E i = EF i x Ac i EF A where: E i : Amount of emission e e ou t o e ss o i of compound i (e.g. CO) - EF i : Emission factor (e.g. CO emission by road traffic per 1 km) p ) - Ac i : Activity: road traffic

  3. Overview 2 Road traffic emission models and 2. Road traffic emission models and tunnel measurements 3. Determination of EFs from road t tunnel measurements l t 4 Measurements of the Gubrist tunnel 4. Measurements of the Gubrist tunnel 5. Long-term evolution g 6. Conclusions

  4. 2. Road traffic emission models and tunnel measurements Road traffic emission model e.g. „Hand book of emission factors (HBEFA)“ : Required:- Large number of dynamometric test data (different technologies (e.g. with/without ( g ( g controlled catalysts), fuel (gasoline, diesel), engine size, etc.) engine size etc ) - Typical conditions (e.g. high way driving) derived f from extend. analysis of on-road measurements t d l i f d t - Typical (Swiss) vehicle fleet composition including long-term changes

  5. Time series of EF (HBEF) Time series of EF (HBEF) Passenger Car Delivery Van Heavy Duty y y vehicle

  6. Road tunnel measurements Road tunnel measurements • Quantification of road traffic emissions • Comparison with road traffic emission models Comparison with road traffic emission models • Evaluation of new technologies, valuable measurements from the same tunnel (e g measurements from the same tunnel (e.g. Tauerntunnel, Schmid et al., 2001) • Advantage: Large collective („real world emissions“) • Limitation: Restricted condition (e.g. high way ( g g y driving), difficulties for generalization

  7. Approach for comparison in this study

  8. 3. Determination of EFs from road tunnel measurements 1. Calculate EF k,t of compound k of fleet passing the tunnel during given time interval t g g ∆ C u dq = k , t t EF kt kt n t s Where: ∆ C k t : difference in concentration of k,t compound k (exit-entrance); u t : air velocity; d : duration of time interval; q : tunnel cross section; d : duration of time interval; q : tunnel cross section; n t : number of vehicles; s : distance between measurements sites s : distance between measurements sites

  9. EF for vehicle classes EF for vehicle classes EF k,t = α k + β k pHDV + ε k,t Where: α k : EF of light duty vehicles (LDV: passenger cars and delivery vans mostly passenger cars and delivery vans, mostly gasoline driven) β k : EF of heavy duty vehicles (HDV, diesel β EF f h d t hi l (HDV di l engine); pHDV: proportion of HDV; ε ε k,t : random error : random error

  10. Data analysis tunnel measurements (NO x ) 10 EF derived from measurements linear regression 8 1 -1 / g km h 6 EF 4 Linear Regression-Modell 2 = α + = α + + β pHD + β pHD + ε i + ε i EF EF i = EF i = EF pHDV i + pHDV i + 0 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 fraction HDV fraction HDV Gubristtunnel-Measurements 2002

  11. Example of analysis of measurements of tunnel study (Staehelin et al., 1997): LDV emit more m-ethyltoluene whereas HDV emit more n-decane (triangles include all data, circles only those with vehicle speed >90 km/h and tunnel ventilation u >5.2 m/s

  12. Statistical analysis Statistical analysis • EF for categories based on variability of fleet composition: of fleet composition: • Heavy duty traffic forbidden in CH fro week ends (pHDV very small on weekends but never exceeds 25%) weekends, but never exceeds 25%) • Determination of EF of HDV: Limited precision

  13. 4. Measurements Gubrist tunnel (close to Zürich, Switzerland) Tunnel installation: Passively ventilated tunnel, sampling in one tube with two lanes (traffic in one direction, road gradient: 1.3 %) • Simultaneous measurements of NO x , CO and t-VOC x (regulated) and others (VOCs) at entry and exit site • Traffic data from loop detectors (number and speed Traffic data from loop detectors (number and speed of vehicles and classification in LDV and HDV • Wind speed measurements inside the tunnel • Wind speed measurements inside the tunnel Det.: EF(time) of entire vehicle collective

  14. (Earlier) tunnel studies and HBFA (Earlier) tunnel studies and HBFA NO x emissions of HDV : tunnel measurements larger than expected from road traffic emission model (HBEFA vs 1999): road traffic emission model (HBEFA, vs. 1999): Plabutsch tunnel (Austria): 1998/99 (Sturm et al., 2001) Gubrist tunnel (Switzerland): Gubrist tunnel (Switzerland): 1993 (John et al., 1999)

  15. Comparison of Gubrist tunnel EFs with HBEFA (1999), (J h (John et al., 1999 - data from license plates) t l 1999 d t f li l t )

  16. 5. Long-term evolution NO x LDV

  17. Long-term development: NO x HDV x p g

  18. Long-term development: CO LDV p g

  19. Long-term development: t-VOC LDV p g

  20. VOC measurements from Gubrist tunnel (Legreid et al., 2007)

  21. VOCs and OVOCs from tunnel studies • Only limited data of organic species available from dynamometric tests y • Large uncertainties of EF for different vehicle classes vehicle classes • EF of hydrocarbons strongly decreased over time for gasoline driven vehicles (introduction of catalytic converters and (introduction of catalytic converters and further improvements of vehicle technology) technology)

  22. 6. Conclusions - Tunnel measurements suitable for Tunnel measurements suitable for quantification of road traffic emissions - Advantage: “Real flight”/disadvantage: problem of generalization (no cold problem of generalization (no cold start) - Simple desgin of experiment (measurements at entry/exit site fleet (measurements at entry/exit site, fleet composition)

  23. Conclusions cont. - Pronounced disagreement for NO x Pronounced disagreement for NO HDV emissions with HBFA (1999) - Much better agreement tunnel measurements with HBEF (2004) - Suitable for EF of VOCs Suitable for EF of VOCs - Tunnel measurements at same site Tunnel measurements at same site (Gubrist tunnel): Documentation of success of new vehicle technology

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