Soil moisture has been shown to affect fuel moisture content but the role of soil moisture in determining fuel moisture content is uncertain. Li Zhao’s research aims to forecast fuel moisture content by coupling fuel moisture content and water cycle models. By applying the model at a large scale for operational use, Li’s research will provide land managers with better tools to predict fuel moisture content, leading to more reliable and accurate outcomes in bushfire management. The fuel moisture content model is a physical process-based model and the water cycle model is the Australian Water Resources Assessment system landscape model.
As of June 2021, Li expected to submit her PhD in late 2021. She is currently working at the Fenner School of Environment and Society at the Australian National University as a research assistant to Dr Marta Yebra.
Student project
Resources credited
| Type | Released | Title | Download | Key Topics |
|---|---|---|---|---|
| Presentation-Slideshow | 17 Oct 2019 | Mapping bushfire hazard and impacts |
 Save (8.51 MB) |
fire, fire impacts, fire severity |
| Presentation-Slideshow | 07 May 2019 | Mapping bushfire hazard and impacts |
Save (1.96 MB) |
