Using charcoal, ATR FTIR and chemometrics to model the intensity of pyrolysis: Exploratory steps towards characterising fire events

anzsrc-for: 3709 Physical Geography and Environmental Geoscience 550 anzsrc-for: 3702 Climate Change Science 37 Earth Sciences 3705 Geology anzsrc-for: 37 Earth Sciences anzsrc-for: 3705 Geology 3709 Physical Geography and Environmental Geoscience 41 Environmental Sciences 15. Life on land 3702 Climate Change Science 01 natural sciences 333 Fire intensity anzsrc-for: 41 Environmental Sciences 13. Climate action Fire severity Pyrolysis 0105 earth and related environmental sciences
DOI: 10.1016/j.scitotenv.2021.147052 Publication Date: 2021-04-13T08:38:26Z
ABSTRACT
This study describes a multivariate statistical model (derived using partial least squares regression, PLS-R) that derives charring intensity (reaction temperature and duration) from the attenuated total reflectance (ATR) Fourier Transform Infrared (FTIR) spectra of charcoal. Data for the model was obtained from a library of charcoal samples produced under laboratory conditions at charring intensities (CI) relevant to wildfires and a series of feedstocks representing common tree species collected from Australia. The PLS-R model developed reveals the potential of FTIR to determine the charring intensity of charcoal. Though limited by the differences between laboratory-produced charcoal and the more heterogeneous and less-structured charcoal produced in a wildfire, the method was tested against fossil charcoal from a well-dated sediment core collected from Thirlmere Lakes National Park, Australia and showed a distinct change in CI that can be related to other climatic and environmental proxies. We suggest that the method has the potential to offer insights into the conditions under which natural charcoal is formed including the modelling of charring intensities of fossil charcoal samples isolated from sediments, archaeological applications or characterisation of contemporary fire events from charcoal in soils.
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