Title: Advances in Identification and Quantification of Non-methane Volatile Organic Compounds Emitted from Biomass Fires through Laboratory Fire Experiments
Abstract: Advances in Atmospheric ChemistryAdvances in Atmospheric Chemistry, pp. 169-197 (2019) No AccessChapter 3: Advances in Identification and Quantification of Non-methane Volatile Organic Compounds Emitted from Biomass Fires through Laboratory Fire ExperimentsVinayak Sinha, Haseeb Hakkim, and Vinod KumarVinayak SinhaDepartment of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S. A. S. Nagar, Manauli PO, Punjab, India 140306, India, Haseeb HakkimDepartment of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S. A. S. Nagar, Manauli PO, Punjab, India 140306, India, and Vinod KumarDepartment of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S. A. S. Nagar, Manauli PO, Punjab, India 140306, Indiahttps://doi.org/10.1142/9789813271838_0003Cited by:4 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: Biomass burning is the second largest global source (∼400 Tg/y) of non-methane volatile organic compound (NMVOC) emissions and the primary source for a large number of reactive organic compounds. Biomass burning impacts atmospheric chemistry and air quality on varied temporal and spatial scales through the effects of the emitted trace gases and particles and formation of climate-active secondary pollutants such as ozone and secondary aerosol. Considerable progress has been made over the past three decades, often driven by deployment of new analytical techniques, in measuring NMVOC emissions in both laboratory and field studies. This chapter reviews some of the latest developments, summarizing the existing knowledge with regard to the laboratory studies, and provides possibilities for improvements. FiguresReferencesRelatedDetailsCited By 4Machine Learning Approach with Environmental Pollution and Geospatial Information for Mapping Poverty in ThailandMahmud Isnan, Teerayut Horanont and Anon Plangprasopchok11 December 2022NMVOC emissions and their formation into secondary organic aerosols over India using WRF-Chem modelSahir Azmi, Mukesh Sharma and Pavan Kumar Nagar1 Oct 2022 | Atmospheric Environment, Vol. 287Emission drivers and variability of ambient isoprene, formaldehyde and acetaldehyde in north-west India during monsoon seasonA.K. Mishra and V. Sinha1 Dec 2020 | Environmental Pollution, Vol. 267Non-methane hydrocarbon (NMHC) fingerprints of major urban and agricultural emission sources for use in source apportionment studiesAshish Kumar, Vinayak Sinha, Muhammed Shabin, Haseeb Hakkim and Bernard Bonsang et al.26 October 2020 | Atmospheric Chemistry and Physics, Vol. 20, No. 20 Advances in Atmospheric ChemistryMetrics History PDF download
Publication Year: 2019
Publication Date: 2019-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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Cited By Count: 7
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