This paper will show how even when large volumes of data are available, it is not always used to its full potential and is often lost in poor management or unusable formatting. We will present how different data analytic techniques can be used to optimally target a reduction in wastewater flooding.
Christchurch City Council (CCC) and Environment Canterbury had a large amount of groundwater data but found that it was difficult to track changes in groundwater quality in the underground aquifers when data was stored and analysed in spreadsheets.
The Waiohine River is located in the Wairarapa Valley and joins the Ruamāhunga River just south of Greytown. The Waiohine River has been actively managed in its current location since 1890 by a number of agencies to prevent it from flooding Greytown, and is now managed by Greater Wellington Regional Council.
A range of factors are driving water utilities to centralise their wastewater treatment, including stricter consent and licencing conditions for treatment plants, discharges, and re-use, enhancement of resource recovery, and adaptation to a changing climate.
In our vision for a Smart Nation people are empowered by technology to improve their lives. Singapore’s National Water Agency PUB is gaining a deeper understanding of household water usage patterns and what motivates water-saving behaviours, in order to design and implement programs in a more targeted manner.
This paper outlines, how Matamata-Piako District Council, in collaboration with SUEZ Australia & New Zealand (SUEZ), planned and executed the membrane plant upgrade. The paper also describes the engineering challenges faced, and plant optimisation and automation implemented as part of the project.
A normal procedure when improving performance of a wastewater treatment plant would see an engineer lead the design and over-view the construction, later handing the plant back to the operators and not having any further involvement.