Skip to main content

This truly spectacular case study demonstrates what can be achieved using s::can sensors in a complete water quality monitoring station setup.  In this case, the s::can system was designed to capture pollution events along the entire length of a river to both define the baseline water quality, and identify point sources of pollution.

The remote water quality stations consisted of a spectro::lyser, a pH::lyser, a condu::lyser, an oxi::lyser and an ammo::lyser to continuously monitor 11 parameters. In addition to monitoring COD, BOD, NO3, NO2, TSS, pH, O2, EC, NH4+, Cl and temperature, the event detection software ana::tool was used to utilise the full UV-Vis spectral data to identify and characterise pollution events.  The keep power consumption low, the spectro::lyser was cleaned using a rucksack submersible brush. The initial ten stations in the pilot utilised compressed air cleaning.

All the real-time data generated was sent back using the concube controller via a GPRS network to a central repository where it could be analysed and used to track long-term water quality throughout the river. 36 of these stations are now in place in the river.

Case Study

Pollution monitoring in the Ganges - the pilot stage.

Click Here

River water quality monitoring and big data - a service-led approach to real-time water quality monitoring.

Click Here
Knowledgeable, experienced staff.

Need some advice or support? We’re here to help.

If you need a call back about how Process Measurement and Analysis can help you or have any questions at all please feel free to contact us at [email protected].  A member of our experienced team will contact you directly.

Close Menu

Talk to us

Call us on 01484 843 708

E-mail us

You can also contact us directly at [email protected]

Write to us

Process Measurement and Analysis Ltd, Brook Mills House, Carr Lane, Slaithwaite, Huddersfield, HD7 5BG United Kingdom