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IV. Kinetics Introduction (Pseudo) First Order Approx. Steady State Approximation.

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Presentation on theme: "IV. Kinetics Introduction (Pseudo) First Order Approx. Steady State Approximation."— Presentation transcript:

1 IV. Kinetics Introduction (Pseudo) First Order Approx. Steady State Approximation

2 Role of Kinetics Atmosphere is an open system- equilibrium does not apply Determine chemical fate of a species Determine concentration of a species Compare time scales for processes –Chemical –Physical –Meteorological

3 Simple Kinetics vs. Complex Models Simple Kinetics (here) Approximations to give insight Complex Models Quantitative but –Numerical solutions –Transport –Lack of insight

4 First Order Kinetics Photochemistry (J is 1 st order rate constant) O 3 + h → O 2 + O Lifetime,  = 1/J What is the photolysis lifetime of O 3 at 10 km?

5 Elementary versus Complex Reactions Elementary – balanced reaction reflects molecular-level events (mechanism): CH 4 + OH → CH 3 + HOH So the Rate Law reflects the mechanism Complex – multiple elementary reactions CH 4 + 2 O 2 → CO 2 + 2 H 2 O

6 Pseudo-First Order Approximation Reduces 2 nd order to 1 st order [O 3 ] >> [Cl] Major trace species vs. highly reactive radical [O 3 ] effectively constant k’ = pseudo-1 st order rate constant

7 Lifetimes and Halflife photochemistry  = 1/J Pseudo-1 st order rxn.  = 1/k’ Halflife (t 1/2 ) = 0.693  k Cl+O3 = 8.8 x 10 -12 cm 3 molecule -1 s -1 (218 K) [O 3 ] = 5 x 10 13 molecule cm -3 (25 km) What is the lifetime of Cl with respect to reaction with O 3 ?

8 Rate Constants Sources – JPL Data Evaluation, IUPAC, NIST Arrhenius (empirical) k(T) = Ae -Ea/RT A = Arrhenius pre-exponential factor E a = activation energy For Cl + O 3 : k(T) = 2.9 x 10 -11 e -2.2 kJ/mole/RT cm 3 molecule -1 s -1 e -Ea/RT = e -(Ea/R)/T k(T) = 2.9 x 10 -11 e -260/T cm 3 molecule -1 s -1 What is k at 218 Kelvin ?

9 Steady State Approximation Applied to ClO, means [ClO] changing very slowly:

10 Steady State Approximation, con’t Local noon, [radicals] at daily maximum, changing slowly  Steady State Approximation okay

11 Key Points Pseudo-first order approximation Steady state approximation Data sources abound


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