Within water distribution systems there is a continuous cycle
of hydraulically mediated particulate material layer generation
and mobilisation from the pipe wall. Discolouration as the foremost
customer observed water quality failing is principally a result
of flows exceeding the conditioned state of the material layers
present. This leads to rapid uncontrolled mobilisation of accumulated
material from the pipe wall into the bulk fluid. Thus it is critical
to have knowledge of the current layer state and be able to predict
the discolouration response for possible hydraulic scenarios.
From this, intervention strategies, both tactical and strategic,
can be designed and implemented to manage the discolouration risk.
Through a nationally coordinated set of scientific drinking water
distribution system (DWDS) trunk main studies involving a consortium
of water suppliers, discolouration behaviour will be investigated
and evidence based pro-active tactical and strategic operational
tools and strategies developed and validated. Individual site
study results will be directly applicable and of benefit to those
specific sites, whilst co-ordinating results across the consortium
will allow development of a nationwide database to help understand
the factors influencing regeneration.
Two independent but complementary computing techniques will be
explored and developed for analysis and interpretation of turbidity
response to operational changes in flow. These complementary novel
approaches will allow the practical and operational effectiveness
of tactical and strategic flow/turbidity control to be planned
and assessed. The techniques will also allow investigation of
regeneration factors between sites including seasonal (temperature?)
variation, hydraulic conditions and organic and in-organic water
characteristics. In addition it is hoped that at some selected
sites different maintenance strategies may be applied and changed
over the period of study, such as short weekly flow increases
or longer interval, longer duration flow increments. This will
inform development of optimum longer term operational strategies,
potentially including information on downstream impacts from the
different strategies to mitigate discolouration risk.
• To undertake field studies to evidence a framework such that tactical
and strategic DWDS management policies can be planned and implemented
to mitigate for discolouration incidents.
• To investigate the use, application and operational requirements
of tactical smart alarms developed through machine-learning techniques
based on measured flow data to predict discolouration response in trunk
• To validate PODDS VCDM (Variable Condition Discolouration Model)
modelling tool and parameters, with particular emphasis on movement to
continuous modelling with improved predictive capabilities.
• To perform a detailed quantification of asset deterioration rates
in trunk mains based on PODDS VCDM calibration. This will inform strategic
distribution and operation maintenance strategies.
• Improve understanding of DWDS discolouration processes and factors
influencing asset deterioration rates enabling best intervention decision
making for managing discolouration risk within a TOTEX framework.