Spatiotemporal modelling in estimation of nitrous oxide emissions from soil

Huang, Xiaodong (2013) Spatiotemporal modelling in estimation of nitrous oxide emissions from soil. PhD by Publication, Queensland University of Technology.

Abstract

Nitrous oxide is a major greenhouse gas emission. The aim of this research was to develop and apply statistical models to characterize the complex spatial and temporal variation in nitrous oxide emissions from soils under different land use conditions. This is critical when developing site-specific management plans to reduce nitrous oxide emissions. These studies can improve predictions and increase our understanding of environmental factors that influence nitrous oxide emissions. They also help to identify areas for future research, which can further improve the prediction of nitrous oxide in practice.

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268 since deposited on 08 Jul 2013
29 in the past twelve months

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ID Code: 61191
Item Type: QUT Thesis (PhD by Publication)
Supervisor: Mengersen, Kerrie & Grace, Peter
Keywords: Nitrous oxide , Spatial model, Time series regression model, Spatiotemporal model, Bayesian analysis
Divisions: Current > Institutes > Institute for Future Environments
Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 08 Jul 2013 02:05
Last Modified: 08 Sep 2015 03:01

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