Dirk Vries
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Comparison of ceramic and polymeric membrane permeability and fouling using surface water
B Hofs, J Ogier, D Vries, EF Beerendonk, ER Cornelissen
Separation and Purification Technology 79 (3), 365-374, 2011
Iron and manganese removal: Recent advances in modelling treatment efficiency by rapid sand filtration
D Vries, C Bertelkamp, FS Kegel, B Hofs, J Dusseldorp, JH Bruins, ...
Water Research 109, 35-45, 2017
A resilience assessment method for urban water systems
C Makropoulos, D Nikolopoulos, L Palmen, S Kools, A Segrave, D Vries, ...
Urban Water Journal 15 (4), 316-328, 2018
On adaptive optimal input design: a bioreactor case study
JD Stigter, D Vries, KJ Keesman
AIChE journal 52 (9), 3290-3296, 2006
Tackling the “New Normal”: A resilience assessment method applied to real-world urban water systems
D Nikolopoulos, HJ van Alphen, D Vries, L Palmen, S Koop, ...
Water 11 (2), 330, 2019
Global optimization for integrated design and control of computationally expensive process models
JA Egea, D Vries, AA Alonso, JR Banga
Industrial & Engineering Chemistry Research 46 (26), 9148-9157, 2007
Towards zero liquid discharge in the presence of silica: Stable 98% recovery in nanofiltration and reverse osmosis
SS Cob, C Yeme, B Hofs, ER Cornelissen, D Vries, FEG GŁner, ...
Separation and Purification Technology 140, 23-31, 2015
Assessment of manganese removal from over 100 groundwater treatment plants
JH Bruins, D Vries, B Petrusevski, YM Slokar, MD Kennedy
Journal of Water Supply: Research and Technology-Aqua 63 (4), 268-280, 2014
A Luenberger observer for an infinite dimensional bilinear system: a UV disinfection example
D Vries, KJ Keesman, H Zwart
IFAC Proceedings Volumes 40 (20), 667-672, 2007
Application of machine learning techniques to predict anomalies in water supply networks
D Vries, B van den Akker, E Vonk, W de Jong, J van Summeren
Water Science and Technology: Water Supply 16 (6), 1528-1535, 2016
Luenberger boundary observer synthesis for Sturm–Liouville systems
D Vries, KJ Keesman, H Zwart
International Journal of Control 83 (7), 1504-1514, 2010
Development of a quantitative chemical risk assessment (QCRA) procedure for contaminants of emerging concern in drinking water supply
B Cantoni, L Penserini, D Vries, MML Dingemans, BGH Bokkers, ...
Water Research 194, 116911, 2021
On a QSAR approach for the prediction of priority compound degradation by water treatment processes
BA Wols, D Vries
Water Science and Technology 66 (7), 1446-1453, 2012
A water quality index for the removal requirement and the purification treatment effort of micropollutants
TE Pronk, R Hofman-Caris, D Vries, SAE Kools, TL ter Laak, ...
Water Supply, 2020
Influence of temperature, network diagnostics, and demographic factors on discoloration-related customer reports
J van Summeren, B Raterman, E Vonk, M Blokker, J van Erp, D Vries
Procedia Eng 119, 416-425, 2015
Influence of water type and pretreatment method on fouling and performance of an Al 2 O 3 microfiltration membrane
B Hofs, D Vries, WG Siegers, EF Beerendonk, ER Cornelissen
Desalination 299, 28-34, 2012
Estimation and prediction of convection-diffusion-reaction systems from point measurement
D Vries
On adaptive optimal input design
JD Stigter, D Vries, KJ Keesman
2003 European Control Conference (ECC), 393-398, 2003
Identification. Hybrid system modeling and identification of cell biology systems: perspectives and challenges
D Vries, PJT Verheijen, J Arnold
IFAC Proceedings Volumes 42 (10), 227-232, 2009
Quantitative chemical risk assessment for mixtures: Application to alkylphenol mixtures and phthalate mixtures in tap and bottled water
L Penserini, B Cantoni, D Vries, A Turolla, PWMH Smeets, BGH Bokkers, ...
Environment International 165, 107294, 2022
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