The intention is to integrate this with the DACM-based development that links serviceability in the form of burst rates to condition. Novel statistical models for spatially varying characteristics will be required for this analysis. Existing geostatistical models deal almost exclusively with relationships that build on proximity of points in space, whereas we wish to relate to proximity of arcs in a mathematical tree graph. Incorporating water quality Bursts are only one aspect of serviceability in distribution mains. Another is water quality, and it is clear that the two are linked.
Bursts lead to surges and changes in flow regimes that tend to release sediments.
We propose to extend our modelling to include joint prediction of burst rates and water quality failures. This is a novel perspective, and details will necessarily depend on experiences with the modelling of burst rates, particularly the spatial modelling, since it is also clear that network geometry is crucial for considerations of water quality. This is a simulation method whose development has fuelled the dramatic recent growth of Bayesian applications to complex practical data. The University may approach named referees unless a candidate expressly requests otherwise. The persons whom the University considers may not be limited to those who make application in accordance with the current advertisement.