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J.H.G. Vreeburg

Researcher at Wageningen University and Research Centre

Publications -  44
Citations -  638

J.H.G. Vreeburg is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Water quality & Water flow. The author has an hindex of 13, co-authored 44 publications receiving 546 citations. Previous affiliations of J.H.G. Vreeburg include Delft University of Technology.

Papers
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Pyrosequencing Reveals Bacterial Communities in Unchlorinated Drinking Water Distribution System: An Integral Study of Bulk Water, Suspended Solids, Loose Deposits, and Pipe Wall Biofilm

TL;DR: The composition and correlation of bacterial communities from different phases helped to locate where most of the bacteria are and understand the interactions among these phases, and relatively stable bacterial communities in bulk water, pipe wall biofilm, and suspended solids throughout the distribution system were revealed.
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Importance of demand modelling in network water quality models: a review

TL;DR: In this article, a stochastic demands-based network water quality model is proposed for assessing water quality in the drinking water distribution system, which is probabilistic in nature.
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Velocity-based self-cleaning residential drinking water distribution systems

TL;DR: In this paper, the authors proposed a velocity criterion to the conventional design criteria, which leads to a branched lay out of distribution networks, that perform better with respect to water quality, continuity of supply and investment costs.
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A bottom-up approach of stochastic demand allocation in water quality modelling

TL;DR: In this article, an "all pipes" hydraulic model of a DMA-sized drinking water distribution system with two types of demand allocations was constructed with conventional op-down approach, i.e., a demand multiplier pattern from the booster station is allocated to all demand nodes with a correction factor to account for the average water emand on that node, and a bottom-up approach of demand allocation, each individual home is represented by one demand node with its own tochastic water demand pattern.
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Heuristic burst detection method using flow and pressure measurements

TL;DR: In this article, a heuristic burst detection method, which continuously compares measured and expected values of water demands and pressures, was proposed to minimize the negative consequences of pipe bursts, an early detection is necessary.