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Evaluation of a Detailed Chemical Mechanism for Alpha-Pinene Degradation and Subsequent Secondary Aerosol Formation K. Ceulemans, J.-F. Müller, S. Compernolle Belgian Institute for Space Aeronomy, Brussels, Belgium L. Vereecken, J. Peeters Katholieke Universiteit Leuven, Belgium ACM Conference Davis December 2008
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Evaluation of a Detailed Chemical Mechanism for Alpha-Pinene Degradation

and Subsequent Secondary Aerosol Formation

K. Ceulemans, J.-F. Müller, S. Compernolle

Belgian Institute for Space Aeronomy, Brussels, Belgium

L. Vereecken, J. Peeters Katholieke Universiteit Leuven, Belgium

ACM Conference Davis December 2008

Outline

BOREAM: model for alpha-pinene oxidation and subsequent secondary aerosol formation

Possible impact of gas-phase oligomerization reactions

Evaluation against dark ozonolysis experiments

Alpha-Pinene Oxidation Model Detailed explicit gas phase model with additional generic

chemistry and aerosol formation module 10000 reactions, 2500 compounds Capouet et al., J. Geophys. Res., 2008 complete mechanism can be explored at http://www.

aeronomie.be/tropo/boream KPP(Kinetic PreProcessor) /Rosenbrock as chemical

solver

Explicit chemistry• mechanism based

on advanced theoretical calculations and SARs

•Oxidation by OH, O3 and NO3

• important updates from Vereecken et al., PCCP, 2007

•leads to many different stable primary products

Primary products: explicit or through lumped generic species

APIN + OH APIN2OH APIN2OH JbCH3OHcHO2 JbCH3OHcHO2 + HO2 JbCH3OHcHOOH (primary product) JbCH3OHcHOOH + OH L10HPO2 (semi-generic: 10C, OH, OOH and O2-groups) JbCH3OHcHOOH + OH JbCH3OHcO

L10HPO2 + NO L10HPO + NO2 L10HPO2 + HO2 L10HPP + O2 … L10HPP + OH L10KPP + HO2 L10KPP + OH LXeO2 + HO2 (LXeO2: generic low volatility peroxy-radical)

LXeO2 + NO LXeO + NO2 LXeO2 + HO2 LXeOOH … LXeOOH + OH LXeO LXeO + O2 LXeCHO + HO2

Explicit chemistry

Semi-generic chemistry

generic chemistry

P: hydroperoxide, H : alcohol , K: ketone O: oxyradical O2: peroxyradical

LX indicates a generic species, e indicates the volatility class (11 classes provided)

Products (explicit or generic) are allowed to partition to aerosol phase

Aerosol formation and Partitioning

Molecules can partition between particulate and gas phase

Pankow partitioning coefficient:

Vapor pressure: calculated with group contribution method (see talk of Steven Compernolle)

Activity coefficient: takes into account mixture effects, calculated with UNIFAC-based method (Compernolle et al. ACPD 2008)

,

, 6 0, 0 ,

760

10p i

p ig i om i i L i

C RTK

C M MW p

Activity coefficient

Saturated vaporpressure

Oligomerization reactions: gas-phase reactions of Criegee intermediates

Observed in several recent studies (Tobias & Ziemann 2001, Heaton et al. 2007)

Example: SCI + pinic acid: produces a very condensable product

Oligomerization reactions: gas-phase reactions of Criegee intermediates

Tobias and Ziemann (2001) investigated the relative reaction rates of water vapour and other molecules with Stabilized Criegee Intermediates from tetradecene ozonolysis

We take these rates and apply them to the most important species in alpha-pinene ozonolysis

Results: photo-oxidation: SOA yields

•Capouet et al. JGR 2008

•Simulations with additional acid formation channels in ozonolysis mechanism lead to better agreement in some (not all) low-VOC experiments

• Simulations with additional particle-phase association reactions (ROOH+R’CHO) has little impact except in high-VOC ozonolysis experiments

Model Validation: Dark ozonolysis experiments New simulations for dark ozonolysis

About 150 smog chamber experiments from 10 different studies were simulated

Typical experimental conditions Excess ozone + OH-scavenger Very low or no NOx Temperatures generally between 0°C and 45°C RH variable, but many dry experiments ( < 10%)

Dark ozonolysis: modelled versus experimental SOA yields

•SOA yield is predicted within a factor 2 for majority of experiments

• Some overstimations for Cocker et al. and Iinuma et al. at colder temperatures

•Some very serious underestimations for Hoffmann et al.1997: at high temperature (45°C)

Pathak et al. 2007: modelled versus experimental SOA • Dry, RH<10% but not

exactly determined.

• Clear temperature dependence in model performance

• Overestimations of about factor 2 for 0-20°C

• Some very serious under-estimations at 30°C and 40°C with low initial VOC

Example:

• Pathak01:(40°C,14.3 ppb)

experimental yield: 9% modelled yield: 0.001% modelled with stabilized Criegee oligomers: 0.4 %

Results: temperature dependence of SOA yields is problematic

Experimental yields do not decrease strongly with temperature Modelled yields strongly decrease with temperature Serious underestimations at high temperature and no seed aerosol

Possible Importance of SCI oligomers at low RH Song et al. 2007: Dark ozonolysis RH < 2% in all experiments Temperature 28°C Assuming very low RH significantly

improves modelled yields,

due to decreased competition of

water vapor in formation of

Criegee Intermediate oligomers

Therefore: At very low RH gas phase reactions of Stabilized Criegee intermediates

with acids and alcohols can significantly influence SOA yields Precise measurements of RH in smog chambers are important SOA yields deduced in very dry ozonolysis experiments might not be

representative for real atmospheric conditions

Exp Model RH

1%

Model RH

0.01%

Exp. Yield

2 0.16 0.35 0.35

3 0.18 0.36 0.38

4 0.015 0.20 0.15

5 0.19 0.37 0.43

6 0.21 0.38 0.46

7 0.08 0.28 0.28

8 0.14 0.34 0.34

9 0.17 0.36 0.37

Next step: model reduction

Currently BOREAM model contains about 10000 reactions and 2500 species

Global models: chemical reactions consume large amount of CPU time

Model reduction is needed: At most a few hundred reactions Less than 100 species

Work in progress…

Conclusions Validation of dark ozonolysis experiments:

majority of SOA yields reproduced up to factor 2 Overall temperature influence not well reproduced Oligomerization of Stabilized Criegee

Intermediates can be important at very low RH

Thank you for your attention!

Model reduction: requirements

Reduced model should be able to reproduce: Inorganics (NOx, HOx, O3)

Small organics (CH2O, acetone, PAN) Some important products: Pinic, pinonic acid,

pinonaldehyde SOA

Validation through comparison with full mechanism

Focus on atmospherically relevant scenarios

Reduction Techniques: Removing negligible reactions Identify negligible reactions in

atmospheric conditions Branching can depend strongly

on NOx-regime Example: Peroxyradical in alpha-

pinene + OH

Reduction Techniques: product merging Products with

Similar reactivity Similar products

can be merged Example: in OH-addition on alpha-pinene

The resulting peroxy radicals lead to similar products (nitrates, hydroperoxides and pinonaldehyde)

Use of averaged reaction rates for the merged species

Reduction Techniques: Reducing length of long radical reaction chains

Some reactions produce a sequence of several peroxyradicals Radical reactions are very fast: considered instantaneous The chain ends through

radical termination Is replaced by a single

equation yielding LXO2, represents the

peroxy radicals Stable endproducts

Reduction Techniques: Lumping Not all different products can be treated explicitly in a

reduced mechanism. Use generic species Example: generic nitrate

LXONO2 + OH LXCHO + NO2 (OH oxydation) LXONO2 + hv LXO2 + NO2 (photolysis) LXONO2 LXNO2p (partitioning)

Advantage: carbon balance conserved, some effects of aging are reproduced

Disadvantage: simplifications lead to errors compared

with full mechanism


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