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dc.contributor.authorMorales, Verónica Len_UK
dc.contributor.authorPérez-Reche, Francisco Jen_UK
dc.contributor.authorHapca, Simona Men_UK
dc.contributor.authorHanley, Kelly Len_UK
dc.contributor.authorLehmann, Johannesen_UK
dc.contributor.authorZhang, Weien_UK
dc.description.abstractThis study underpins quantitative relationships that account for the combined effects that starting biomass and peak pyrolysis temperature have on physico-chemical properties of biochar. Meta-data was assembled from published data of diverse biochar samples (n= 102) to (i) obtain networks of intercorrelated properties and (ii) derive models that predict biochar properties. Assembled correlation networks provide a qualitative overview of the combinations of biochar properties likely to occur in a sample. Generalized Linear Models are constructed to account for situations of varying complexity, including: dependence of biochar properties on single or multiple predictor variables, where dependence on multiple variables can have additive and/or interactive effects; non-linear relation between the response and predictors; and non-Gaussian data distributions. The web-tool Biochar Engineering implements the derived models to maximize their utility and distribution. Provided examples illustrate the practical use of the networks, models and web-tool to engineer biochars with prescribed properties desirable for hypothetical scenarios. © 2015 Elsevier Ltd.en_UK
dc.publisherElsevier BVen_UK
dc.relationMorales VL, Pérez-Reche FJ, Hapca SM, Hanley KL, Lehmann J & Zhang W (2015) Reverse engineering of biochar. Bioresource Technology, 183, pp. 163-174.
dc.rightsAccepted refereed manuscript of: Morales VL, Pérez-Reche FJ, Hapca SM, Hanley KL, Lehmann J & Zhang W (2015) Reverse engineering of biochar. Bioresource Technology, 183, pp. 163-174. DOI: © 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subjectphysico-chemical propertiesen_UK
dc.subjectcorrelation networksen_UK
dc.subjectgeneralized linear modelsen_UK
dc.titleReverse engineering of biocharen_UK
dc.typeJournal Articleen_UK
dc.citation.jtitleBioresource Technologyen_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderTeresa Heinz Foundation for Environmental Research and Project Unicornen_UK
dc.contributor.affiliationUniversity of Abertayen_UK
dc.contributor.affiliationUniversity of Aberdeenen_UK
dc.contributor.affiliationUniversity of Abertayen_UK
dc.contributor.affiliationCornell Universityen_UK
dc.contributor.affiliationCornell Universityen_UK
dc.contributor.affiliationMichigan State Universityen_UK
dc.description.refREF Compliant by Deposit in Stirling's Repositoryen_UK
Appears in Collections:Computing Science and Mathematics Journal Articles

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