We utilise a broad range of mathematical and statistical research
skills to environmental management. These are summed up in detail by
following the links below.
Embedded Models
|
The Embedded Model Problem is important in statistical
modelling. In many numerical optimisation procedures there is a
need to know whether or not an embedded model occurs. CMIS Environmetrics has developed a systematic way of finding embedded
models and giving a criterion to identify beforehand whether an
embedded model occurs. |
| Bayesian Model
Selection in Non-linear Time Series |
We are actively engaged in developing methodology for
selecting optimal statistical models, applied in the field of
nonlinear time series analysis to support our work in the management
of climate variability. |
|
Pesticide Risk Assessment
Offsite Effects of
Pesticides
|
The Pesticide
Impact Ranking Index (PIRI), has been developed to (i) rank
pesticides in terms of their relative pollution potential
to ground water or surface water, and (ii) compare
different land uses in a catchment or different industries at a
regional scale in terms of their relative impact on water
quality. |
|
Aquifer
Storage and Recovery Risk Assessment
|
The Aquifer Storage and Recovery Risk Index (ASRRI)
has been developed to predict attenuation of a range of inorganic
and organic substances and micro-organisms that may potentially be
present in the injectant between the time of injection and recovery
from an ASR well. |
Statistical Modelling
in the Northern Prawn Fishery
|
The Northern Prawn Fishery (NPF) is Australia’s most
valuable Commonwealth Fishery. It extends from Cape Londonderry in
Western Australia north of the Kimberley to the tip of Cape York,
with the Gulf of Carpentaria the major fishing area. The NPF opens
up a variety of challenging statistical problems that are currently
being addressed by the Environmetrics team. |
| Marine Statistics |
Marine Statistics research is conducted
to enable effective, efficient and sustainable management of
Australia's marine and coastal resources. Working closely with CSIRO
Division of Marine Research, staff develop methods for resource
assessment, monitoring and control. The skills of the staff are in
population modelling and stock assessment, and in spatial statistics |
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