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Water Science and Technology Special Issue on

Water Resource Recovery Modelling (WRRMod21)


Our society is transitioning fast into the digital age, spurred by development of cheap and new sensing technology, breakthroughs in computing, and development of efficient algorithms for optimization. This transition is also visible in the field of wastewater treatment and is driving new model developments, especially by exploiting the large data sets available with many utilities.

The 7th Water Resource Recovery Modelling 2021 Seminar was held in Arosa, Switzerland. The WRRMod series is designed to share and discuss cutting-edge advances and innovative practices in the modelling of Water Resource Recovery Facilities (WRRF). The seminar offers a unique opportunity for practitioners, utilities, engineers, and researchers to get together and critically discuss pioneering modelling concepts and practices.

WRRMod2021 featured a strong session on the hot topic of ‘data-driven models and digitalization’ and exhibited sessions on modelling of new process units (e.g., aerobic granular sludge), modelling of the nitrogen cycle, and integrated/plant-wide modelling.

In this Special Issue on the Water Resource Recovery modelling published in Water Science & Technology journal, six relevant studies that highlight recent promising model developments were selected.


Guest Editors:

Nicolas Derlon, Eawag, Switzerland

Kris Villez, Oak Ridge National Laboratory, USA

Heather Stewart, Jacobs, Philadelphia, PA, USA

Arifur Rahman, Jacobs, Dallas, TX, USA


Editorial: Water resource recovery modelling 2021 (WRRmod2021 conference)

Nicolas Derlon, Kris Villez

Water Science & Technology (15 June 2023) 87 (12): iii–iv.




Using plant data to estimate biodegradable COD fractions – case study kwaMashu WWTP

Barbara Brouckaert, Christopher Brouckaert, Akash Singh, Kaverajen Pillay, Xavier Flores-Alsina, David Ikumi

Water Science & Technology (1 November 2022) 86 (9): 2045–2058.




Modelling of aerobic granular sludge reactors: the importance of hydrodynamic regimes, selective sludge removal and gradients

Nicolas Derlon, Mercedes Garcia Villodres, Róbert Kovács, Antoine Brison, Manuel Layer, Imre Takács, Eberhard Morgenroth

Water Science & Technology (1 August 2022) 86 (3): 410–431.




Mainstream short-cut N removal modelling: current status and perspectives

Gamze Kirim, Kester McCullough, Thiago Bressani-Ribeiro, Carlos Domingo-Félez, Haoran Duan, Ahmed Al-Omari, Haydee De Clippeleir, Jose Jimenez, Stephanie Klaus, Mojolaoluwa Ladipo-Obasa, Mohamad-Javad Mehrani, Pusker Regmi, Elena Torfs, Eveline I. P. Volcke, Peter A. Vanrolleghem

Water Science & Technology (1 May 2022) 85 (9): 2539–2564.




An influent generator for WRRF design and operation based on a recurrent neural network with multi-objective optimization using a genetic algorithm

Feiyi Li, Peter A. Vanrolleghem

Water Science & Technology (1 March 2022) 85 (5): 1444–1453.




Hybrid modelling of water resource recovery facilities: status and opportunities

Mariane Yvonne Schneider, Ward Quaghebeur, Sina Borzooei, Andreas Froemelt, Feiyi Li, Ramesh Saagi, Matthew J. Wade, Jun-Jie Zhu, Elena Torfs

Water Science & Technology (1 May 2022) 85 (9): 2503–2524.




The transition of WRRF models to digital twin applications

Elena Torfs, Niels Nicolaï, Saba Daneshgar, John B. Copp, Henri Haimi, David Ikumi, Bruce Johnson, Benedek B. Plosz, Spencer Snowling, Lloyd R. Townley, Borja Valverde-Pérez, Peter A. Vanrolleghem, Luca Vezzaro, Ingmar Nopens

Water Science & Technology (15 May 2022) 85 (10): 2840–2853.



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