Assessment of theoretical methods for the study of hydrogen abstraction kinetics of global warming gas species during their degradation and byproduct formation (IUPAC Technical Report)

Ponnadurai Ramasami Hassan H. Abdallah Edet F. Archibong Paul Blowers Thomas A. Ford Rita Kakkar Zhigang Shuai Henry F. Schaefer

Global climate change is a major concern as it leads to an increase in the average temperature of the earth’s atmosphere. The existence and persistence of some gaseous species in the atmosphere contribute to global warming. Experimental techniques are used to study the kinetics and degradation of global warming gases. However, quantum mechanical methods are also useful for the kinetic and radiative forcing study of global warming species and can precede experimental investigations. Research has also been targeted to develop more adapted procedures using ab initio and density functional theory (DFT) methods. This report provides a global perspective, in simplified manner, of the theoretical studies of the degradation of gas species in the atmosphere with an emphasis on the hydrogen abstraction kinetics of global warming gas species during their degradation and byproduct formation. En route, the results obtained from these studies are analysed and compared with experimental data where available. Our analyses indicate that the theoretical predictions are in agreement with experimental findings but the predicted parameters are dependent on the method being used. Theoretical methods are used to predict the thermodynamic parameters of reactions, and, with relevance to this report, the global warming potential (GWP) index can also be calculated. This report can be useful for future investigations involving global warming gaseous species while providing suggestions on how computations can fill in data gaps when experimental data are unavailable.

Open Access 0 28 авг. 2013

Тип материала: Статья

Тематика: CHEMISTRY, MULTIDISCIPLINARY

Язык:

Ранее опубликовано
Walter de Gruyter GmbH
PURE AND APPLIED CHEMISTRY

Clarivate Analytics
Данные о статье из базы данных Clarivate Analytics
Accession Number: WOS:000323700200012
Volume: 85
Issue: 9
Pages: 1901-1918
Times cited: 4
Journal expected citations: 23.560811
Category expected citations: 27.91
Journal normalized citation impact: 0.17
Category normalized citation impact: 0.1433
Percentile in subject area: 73.371
Journal impact factor: 2.35

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