Hydroinformatics

Future proof opportunities at the ‘Waterinfodag’

03 April 2019 — At the ‘Waterinfodag’, which took place end of March 2019, I presented a theme session on innovative processing...

Exploratory research into data mining

The promises of data mining techniques have long been very inviting – and for the water utilities as...

Hydroinformatics Platform foresees great value in data visualisation

12 February 2019 — Data visualisation is an important tool in the effective application of data streams for informed decision-making. Data visualisation...

Cyber-physical security of water systems – a new frontier for interdisciplinary water research

13 December 2018 — Water Companies and other critical infrastructure operators have been adopting ICT technologies (sensors, actuators, real time control systems...

Validation slow sand filtration at De Punt

Slow sand filtration is a treatment process that contributes importantly to drinking water safety. In water practice, however,...

Application future failure frequency prediction method

The prediction of failure frequencies is important in determining pipe replacement volumes and replacement prioritisation. The predictions are...

Contamination Source Toolkit

When contamination incidents occur in the distribution system, as a result of work on the network for example,...

Hydroinformatics Platform Pilot Data Validation

Water utilities find themselves in a transition with regard to their decision-making process. The inputs in decision-making models...

Resilience of distribution systems under crisis scenarios

This exploratory research project is producing an inventory of the possible physical and cyber threats (crisis scenarios) that...

Peak consumption causes

Water companies need a water consumption model to help them size their production locations. In this project KWR...

Data from smart water meters used to predict hotspots in distribution network

To ensure fresh and healthy drinking water in a future of climate change and urbanisation, it’s important to...

Ferramentum: tool for insights into rapid filtration

Previous tailored and thematic research work focused on iron and manganese removal from groundwater and led to the...

Prediction and validation in organic micropollutant removal

Organic micropollutants (OMPs) in sources of drinking water are regularly in the news. The quantities of OMPs are...

Gondwana

Over the last decades growing attention has been directed at the optimisation of drinking water distribution systems. But...

USTORE

Every year the drinking water sector replaces about 1% of the total drinking water distribution network. This replacement...

PVC degradation model in Comsima

In the Netherlands PVC is the pipe material that is most used: more than half of the drinking...

Real-time sensor measurements for a better water-quality policy

The current, hydraulic models are infrequently applied to water-quality issues in the distribution network; moreover, they are poorly,...

Optimal design of robust and future-proof target structures

The design of target structures is a topical subject in the water sector. Drinking water companies are busy...

Discolouration prediction tool for optimal cleaning policy

The quality of drinking water in the Netherlands is excellent. Nonetheless, this quality can deteriorate between the water...

WatQual

Safe drinking water is paramount for the health and wellbeing of all populations. Unsafe drinking water can contain...

Heat transfer to drinking water mains

The warming of the soil around a drinking water main can make the temperature of the water in...

Menyanthes

Groundwater levels are influenced by a variety of factors, such as precipitation, evaporation, groundwater abstraction and the water...

SIMDEUM

Our water consumption is predictable. After getting up in the morning most people use the toilet. They take...

DiAMANT-Water: Data of the Future

The integrity of the water infrastructure is hard to determine using a directly measurable parameter, such as the...

Big Data Epidemiology – statistical relationship between drinking water quality and health

The scientific literature reports on – sometimes contradictory – research results on the relationship between the quality of...

Data mining for asset management – survey and water sector examples

Data mining (the search for statistical connections in databases) is one step in ‘Knowledge Discovery in Databases (KDD)’.

Perspective and preconditions for the development and use of autonomous inspection robots in water mains

Asset management of distribution networks is currently based on generic knowledge and models of mains groups, supplemented by...

QMRA of the distribution network

Drinking water companies use quantitative microbial risk assessment (QMRA) to demonstrate that the drinking water they produce is...

Network Flow Performance

For managers of water distribution networks, flow volume time series in the network, for example, for a District...

From mains data to mains knowledge

Decision-making about which mains to replace, and when, is one of the most important issues for asset management...

Efficient hot water heating

As homes become better insulated, energy consumption for spatial heating is decreasing. It is therefore increasingly important to...

Rapid Filtration Engineering Assistant

The application of rapid sand filtration combined with front-end aeration forms a robust barrier in the removal of...

Data mining in suspect screening data; searching for relevant new chemicals in different water types

Data from suspect screening analyses collected over the past few years contain a treasure of information. The data...

Future water use and peak factors under climate change

According the prognoses of the Royal Netherlands Meteorological Institute (KNMI), weather extremes, such as heat and drought, will...

Incorporation of soil nutrients and acidity into PROBE

The vegetation composition in freshwater natural ecosystems can be explained on the basis of the soil moisture, nutrient...

Water-Use Info

Both in the design and the operational stage of a drinking water installation or drinking water distribution network...

OptiValves

The complexity of drinking water distribution systems sometimes makes it difficult to have a good sense of a...

Robustness of the drinking water infrastructure

Drinking water consumption and the functionality of the drinking water infrastructure are subject to the influence of external...

Modelling regrowth in the distribution network

Regrowth in the distribution network is a complex phenomenon. Measures to manage regrowth in the distribution network have...

Strategies for the optimal placement of water quality sensors in the distribution network

Monitoring water quality with sensors placed at strategic points in the distribution network provides an online picture of...

PROBE 3: an innovative model for vegetation development, groundwater recharge and nitrate leaching in a changing climate

Climate change can be expected to have big consequences for groundwater-independent vegetations, precisely because they rely entirely on...

Physical vulnerability of mains to climate change

Climate change can lead to a higher probability of failure in drinking water mains. Analysis of failure data...

Future temperature in the distribution network under the impact of urbanisation and climate change

Water temperature at the pumping station has limited impact on the temperature at the tap, but groundwater temperature...

From big water data to smart water grids

Due to far-reaching computerisation, smart metering, the use of (online) sensor systems in drinking water production companies and...

INTEREST – Investment in, and returns from, sensor networks

The current monitoring of our drinking water quality is done on the pure water as it leaves the...

Design guidelines for sewer systems for domestic wastewater

In the urban context there are two key water discharge streams: the dry-weather stream and the stormwater stream.

On-site sensoring & monitoring

Determining nutrient concentrations with electronic finger prints and an algorithm based on an artificial neural network. Technology Within...

Energy-efficient and sustainable Tergooi hospital

Tergooi is developing a new hospital as part of the redevelopment of the Monnikenberg country estate to the...

Path and prerequisites for implementation of backtracing and source identification in hydraulic packages

In the event of a drinking water contamination incident, the tracing of the contamination source is crucial in...

Prediction model condition-determination of cementitious mains – Data mining phase 2

To further structure its existing mains replacement policy, Brabant Water wants to gain more insight into factors that...