Hydroinformatics

Big data – analysis and integration of chemical and toxicological data

Monitoring the water quality of drinking water is challenging due to the presence of complex mixtures of mostly unknown substances that vary in concentration and composition. Over the…

Hydroinformatics

Text mining for the early detection of relevant water pollutants

Long before substances are included in regulations and monitoring programmes, text sources such as reports, social media, press releases, regulatory agency websites or the scientific literature can provide…

Hydroinformatics

Digital twins for the water sector

'Digital twins' is the buzzword of recent years in many industries, including the water industry. The term is used to indicate digital representations (copies in some way) of physical systems. In some…

Hydroinformatics

Condition forecast for individual mains

The risk of pipe failure is one of the factors taken into account by drinking water utilities when they decide whether or not to replace water mains. They assess this risk on…

Hydroinformatics

Making Aquarellus applicable

Brown water accounts for a significant proportion of reports about water quality that Dutch drinking water companies receive from customers. To tackle the phenomenon, it is important to have an understanding of the movement and accumulation of…

Hydroinformatics

DMA fingerprint

Dutch water companies are increasingly setting up District Metered Areas (DMAs) that can be used to locate leaks in the mains and to learn more about what is happening in the mains. In this project, we will…