All Outputs (6)

Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments (2015)
Journal Article
Oliver, D., Porter, K., Pachepsky, Y., Muirhead, R., Reaney, S., Coffey, R., …Quilliam, R. (2016). Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments. Science of the Total Environment, 544, 39-47. https://doi.org/10.1016/j.scitotenv.2015.11.086

The application of models to predict concentrations of faecal indicator organisms (FIOs) in environmental systems plays an important role for guiding decision-making associated with the management of microbial water quality. In recent years there has... Read More about Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments.

Predicting shallow landslide size and location across a natural landscape: Application of a spectral clustering search algorithm (2015)
Journal Article
Bellugi, D., Milledge, D., Dietrich, W., Perron, J., & McKean, J. (2015). Predicting shallow landslide size and location across a natural landscape: Application of a spectral clustering search algorithm. Journal of Geophysical Research: Earth Surface, 120(12), 2552-2585. https://doi.org/10.1002/2015jf003520

Predicting shallow landslide size and location across landscapes is important for understanding landscape form and evolution and for hazard identification. We test a recently‐developed model that couples a search algorithm with 3D slope‐stability ana... Read More about Predicting shallow landslide size and location across a natural landscape: Application of a spectral clustering search algorithm.

Going with the flow? Using participatory action research in physical geography (2015)
Journal Article
Whitman, G., Pain, R., & Milledge, D. (2015). Going with the flow? Using participatory action research in physical geography. Progress in Physical Geography, 39(5), 622-639. https://doi.org/10.1177/0309133315589707

This paper critically appraises the idea and practice of ‘participation’ in scientific environmental research, arguing for the wider uptake by physical geographers of a more radical participatory approach. It proposes participatory action research (P... Read More about Going with the flow? Using participatory action research in physical geography.

Towards disaster resilience: A scenario-based approach to co-producing and integrating hazard and risk knowledge (2015)
Journal Article
Davies, T., Beaven, S., Conradson, D., Densmore, A., Gaillard, J., Johnston, D., …Wilson, T. (2015). Towards disaster resilience: A scenario-based approach to co-producing and integrating hazard and risk knowledge. International Journal of Disaster Risk Reduction, 13, 242-247. https://doi.org/10.1016/j.ijdrr.2015.05.009

Quantitative risk assessment and risk management processes are critically examined in the context of their applicability to the statistically infrequent and sometimes unforeseen events that trigger major disasters. While of value when applied at regi... Read More about Towards disaster resilience: A scenario-based approach to co-producing and integrating hazard and risk knowledge.

Quantifying sheet wash erosion rates in a mountainous semi-arid basin using environmental radionuclides and a stream power model (2015)
Journal Article
Geng, H., Pan, B., Milledge, D., Huang, B., & Zhang, G. (2015). Quantifying sheet wash erosion rates in a mountainous semi-arid basin using environmental radionuclides and a stream power model. Earth Surface Processes and Landforms, 40(13), 1814-1826. https://doi.org/10.1002/esp.3761

Erosion rates and processes define how mountainous landscapes evolve. This study determines the range of erosion rates in a semi-arid landscape over decadal time spans and defines the dominant processes controlling variability in erosion rates. The v... Read More about Quantifying sheet wash erosion rates in a mountainous semi-arid basin using environmental radionuclides and a stream power model.

A spectral clustering search algorithm for predicting shallow landslide size and location (2015)
Journal Article
Bellugi, D., Milledge, D., Dietrich, W., McKean, J., Perron, J., Sudderth, E., & Kazian, B. (2015). A spectral clustering search algorithm for predicting shallow landslide size and location. Journal of Geophysical Research: Earth Surface, 120(2), 300-324. https://doi.org/10.1002/2014jf003137

The potential hazard and geomorphic significance of shallow landslides depend on their location and size. Commonly applied one-dimensional stability models do not include lateral resistances and cannot predict landslide size. Multi-dimensional models... Read More about A spectral clustering search algorithm for predicting shallow landslide size and location.