Australian Water Management Review Vol. 1 2014 | Page 140

nobodY MAkes the right deCisions
Without the right inforMAtion
The water industry is no longer forced to make
large design or plant optimisation decisions
on limited water quality data sets – often
being confined to grab or composite sampling
techniques, which inevitably and unavoidably
miss key events.
DCM Process Control specialises in “real-time” Water
Characterisation Studies, and water quality parameter
measurement utilising the S::CAN range of UV/Vis
Spectro::lyser’s, which we have been using exclusively
for over 10 years now in Australia and New Zealand.
As dynamic models developed in the industry,
so too did a core part of DCM’s business – our
comprehensive Data Supply service, providing key,
minute by minute water quality information for our
clients while also being able to capture and quantify
high loading “events” as they happen.
By eliminating the guesswork we minimise your
risk and provide high-level water quality data
for characterisation, design, optimisation, event
detection and feed forward control purposes.

Where only traditional data sets are available,
consultants, designers and financiers are forced to
assume that the data is actually representative of the true
load, which is due to a suboptimal understanding of the
water quality within a catchment. This can lead to high
capital outlay where not required, or the undersizing of
some sections of an otherwise suitable plant design.

From source to the sea, we have it covered.
Contact James, DCM’s Sales & Operations
Manager on [phone] to learn more
about how we can help your business.

Whether for a $10m or a $100m project, we know
that even small design errors result in significant
rises on capital expenditure with infrastructure and
operational costs, than would occur with appropriate
real-time data sets.
Real-time high resolution monitoring over peak load
periods, whether summer holidays or cold winters
when low temperatures limit treatment processes,
provides key data to minimise the risk of treatment
failure and asset expenditure.
Our local development team has augmented the
S::CAN instruments with world class infrastructure
and sample de ƗfW'