Articles | Volume 3, issue 1
https://doi.org/10.5194/dwes-3-43-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.Special issue:
A bottom-up approach of stochastic demand allocation in water quality modelling
Related subject area
Distribution: Demand prediction
Review of applications for SIMDEUM, a stochastic drinking water demand model with a small temporal and spatial scale
Non-residential water demand model validated with extensive measurements and surveys
How much are households willing to contribute to the cost recovery of drinking water supply? Results from a household survey
Drink. Water Eng. Sci., 10, 1–12,
2017Drink. Water Eng. Sci., 6, 99–114,
2013Drink. Water Eng. Sci., 6, 33–38,
2013Cited articles
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Blokker, E. J. M., Vreeburg, J. H. G., Buchberger, S. G., and van Dijk, J. C.: Importance of demand modelling in network water quality models: a review, Drink. Water Eng. Sci., 1, 27–38, 2008.
Blokker, E. J. M. and Beverloo, H.: Verblijftijden leidingnet Zandvoort; Metingen boulevard Zandvoort zomer 2008 (Residence times in distribution net Zandvoort; Measurements boulevard Zandvoort summer 2008), KWR, Nieuwegein, 2009 (in Dutch).
Blokker, E. J. M., Vreeburg, J. H. G., and van Dijk, J. C.: Simulating residential water demand with a stochastic end-use model, J. Water Res. Pl.-ASCE, 136, 19–26, 10.1061/(ASCE)WR.1943-5452.0000002, 2010.
CBS: http://statline.cbs.nl, last access: July 2008.