Student researcher

Charles Newland
Dr Charles Newland Research Leader

Models are used widely for the assessment of disaster risk and the effectiveness of mitigation options. In order to obtain meaningful results, these models require accurate calibration. Calibration is the process of adjusting a model to generate correct information matching what is observed on site. This is not an easy task as it is a manual process. This research was completed in 2018 and aimed to generate an automated procedure to improve reliability and effectiveness of risk modelling to benefit end users.

Improved decision support systems: Enhanced spatially distributed model calibration
25 Aug 2014
Risk mitigation requires understanding the impact of land use Planning and Management on hazard exposure and...
Charles Newland Conference Poster 2016
12 Aug 2016
Developing hazard mitigation strategies through more efficient dynamic assessment of exposure by making the...
Evaluating future risk & mitigation strategies: (semi) automatic calibration of dynamic exposure models
29 Jun 2017
Effective risk mitigation strategies must be designed for long-term resiliency across a range of potential...