Environmetrics & Modelling
One of the ongoing endeavours of the School of Environmental Sciences is the development of improved measures or metrics for quantifying environmental patterns and processes. Armed with an increasingly sophisticated set of metrics, environmental scientists will be in a better position to discovery new patterns or trends and their underlying causes. Modelling is useful for the discovery of knowledge, but is also a predictive tool for forecasting adaptation, mitigation and/or production strategies in response to changing environments. Environmetrics and modelling is a transdisciplinary research area and several faculty are members of the Biophysics Interdisciplinary Group (BIG).
- Madhur Anand (ecological modelling)
- Jonathan Newman (ecological modelling, statistical ecology)
Faculty in other academic units/departments working on Environmetrics & Modelling are:
- Bahram Gharabaghi (modelling tools for source water quality protection)
- Ed McBean (statistical analyses of environmental data)
- Ramesh Rudra (watershed modeling, mechanics and modeling of non-point source pollution and drainable water qualit)