Articles | Volume 1, issue 1
Drink. Water Eng. Sci., 1, 27–38, 2008
https://doi.org/10.5194/dwes-1-27-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Drink. Water Eng. Sci., 1, 27–38, 2008
https://doi.org/10.5194/dwes-1-27-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
25 Sep 2008
25 Sep 2008
Importance of demand modelling in network water quality models: a review
E. J. M. Blokker et al.
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- Influence of Network Model Detail on Estimated Health Effects of Drinking Water Contamination Events M. Davis & R. Janke 10.1061/(ASCE)WR.1943-5452.0000436
- Dynamic Hydraulics in a Drinking Water Distribution System Influence Suspended Particles and Turbidity, But Not Microbiology E. Prest et al. 10.3390/w13010109
- Generic Framework for Downscaling Statistical Quantities at Fine Time-Scales and Its Perspectives towards Cost-Effective Enrichment of Water Demand Records P. Kossieris et al. 10.3390/w13233429
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- Comparison of parametric and nonparametric disaggregation models for the top-down generation of water demand time series S. Alvisi et al. 10.1080/10286608.2015.1126823
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29 citations as recorded by crossref.
- Simulating Nonresidential Water Demand with a Stochastic End-Use Model E. Blokker et al. 10.1061/(ASCE)WR.1943-5452.0000146
- Envisioning surprises: How social sciences could help models represent ‘deep uncertainty’ in future energy and water demand M. Sharmina et al. 10.1016/j.erss.2018.11.008
- Influence of Network Model Detail on Estimated Health Effects of Drinking Water Contamination Events M. Davis & R. Janke 10.1061/(ASCE)WR.1943-5452.0000436
- Dynamic Hydraulics in a Drinking Water Distribution System Influence Suspended Particles and Turbidity, But Not Microbiology E. Prest et al. 10.3390/w13010109
- Generic Framework for Downscaling Statistical Quantities at Fine Time-Scales and Its Perspectives towards Cost-Effective Enrichment of Water Demand Records P. Kossieris et al. 10.3390/w13233429
- The Dutch secret: how to provide safe drinking water without chlorine in the Netherlands P. Smeets et al. 10.5194/dwes-2-1-2009
- A bottom-up approach of stochastic demand allocation in water quality modelling E. Blokker et al. 10.5194/dwes-3-43-2010
- Simulation Study to Evaluate Temporal Aggregation and Variability of Stochastic Water Demands on Distribution System Hydraulics and Transport X. Yang & D. Boccelli 10.1061/(ASCE)WR.1943-5452.0000359
- The use of high resolution monitoring in the management of water quality failures caused by discolouration D. Anonye & A. Nwachukwu 10.5897/IJWREE2012.057
- Caracterización de micro-consumos domésticos de agua potable de acuerdo con la percepción de los participantes en una iniciativa de ciencia ciudadana: la experiencia del #50lWaterChallenge S. Díaz et al. 10.4995/ia.2021.14998
- Comparison of Bottom-Up and Top-Down Procedures for Water Demand Reconstruction D. Fiorillo et al. 10.3390/w12030922
- Comparison of parametric and nonparametric disaggregation models for the top-down generation of water demand time series S. Alvisi et al. 10.1080/10286608.2015.1126823
- Bottom-Up Generation of Water Demands to Preserve Basic Statistics and Rank Cross-Correlations of Measured Time Series E. Creaco et al. 10.1061/(ASCE)WR.1943-5452.0001142
- Analytical Stochastic Microcomponent Modeling Approach to Assess Network Spatial Scale Effects in Water Supply Systems S. Díaz & J. González 10.1061/(ASCE)WR.1943-5452.0001237
- The urban harvest approach as framework and planning tool for improved water and resource cycles I. Leusbrock et al. 10.2166/wst.2015.299
- A case study on the effect of smart meter sampling intervals and gap-filling approaches on water distribution network simulations J. Kirstein et al. 10.2166/hydro.2020.083
- Dynamic Time Warping Clustering to Discover Socioeconomic Characteristics in Smart Water Meter Data D. Steffelbauer et al. 10.1061/(ASCE)WR.1943-5452.0001360
- Assessing the public health risk of microbial intrusion events in distribution systems: Conceptual model, available data, and challenges M. Besner et al. 10.1016/j.watres.2010.10.035
- Review of applications for SIMDEUM, a stochastic drinking water demand model with a small temporal and spatial scale M. Blokker et al. 10.5194/dwes-10-1-2017
- Analytical scaling relations to evaluate leakage and intrusion in intermittent water supply systems D. Taylor et al. 10.1371/journal.pone.0196887
- Potential Performance of Hydraulic State Estimation in Water Distribution Networks E. Ruiz et al. 10.1007/s11269-021-03056-2
- Simulating Residential Water Demand with a Stochastic End-Use Model E. Blokker et al. 10.1061/(ASCE)WR.1943-5452.0000002
- Smart meters data for modeling and forecasting water demand at the user-level J. Pesantez et al. 10.1016/j.envsoft.2020.104633
- Modeling of Chlorine Decay in Drinking Water Supply Systems Using EPANET MSX L. Monteiro et al. 10.1016/j.proeng.2014.02.132
- Demand-Driven Spatiotemporal Variations of Flow Hydraulics and Water Age by Comparative Modeling Analysis of Distribution Network Y. Zhao et al. 10.1061/(ASCE)WR.1943-5452.0000995
- Accumulation and modeling of particles in drinking water pipe fittings K. Neilands et al. 10.5194/dwes-5-47-2012
- Water Distribution Operation Systems Based on Smart Meter and Sensor Network J. Kim et al. 10.1016/j.proeng.2014.11.210
- Generation of synthetic water demand time series at different temporal and spatial aggregation levels S. Alvisi et al. 10.1080/1573062X.2013.801499
- Models for Generating Household Water Demand Pulses: Literature Review and Comparison E. Creaco et al. 10.1061/(ASCE)WR.1943-5452.0000763
6 citations as recorded by crossref.
- Assessing the Applicability of the Bartlett-Lewis Model in Simulating Residential Water Demands P. Kossieris et al. 10.1016/j.proeng.2016.07.429
- Simulating Marginal and Dependence Behaviour of Water Demand Processes at Any Fine Time Scale P. Kossieris et al. 10.3390/w11050885
- Impacts of Discretization Error, Flow Modeling Error, and Measurement Noise on Inverse Transport-Diffusion-Reaction in a T-Junction J. Waeytens et al. 10.1115/1.4035806
- Multiobjective Optimization of Inline Mobile and Fixed Wireless Sensor Networks under Conditions of Demand Uncertainty N. Sankary & A. Ostfeld 10.1061/(ASCE)WR.1943-5452.0000930
- Sensitivity of inverse advection–diffusion–reaction to sensor and control: A low computational cost tool J. Waeytens et al. 10.1016/j.camwa.2013.07.009
- Inverse Computational Fluid Dynamics: Influence of Discretization and Model Errors on Flows in Water Network Including Junctions J. Waeytens et al. 10.1115/1.4030358
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