Water Science & Technology Special Issue on:

Modelling and Integrated Assessment of Urban Water Systems

The Watermatex symposium highlights the application of a wide range of mathematical tools for problem solving in the water sector. Modelling tools in the water sector have become useful practical tools to address present and future challenges. They have applications ranging from water resource recovery facilities through to sewer systems and drinking water distribution networks.

This Special Issue, in collaboration with the 10th IWA Symposium on Modelling and Integrated Assessment (Watermatex 2019) focuses on the promotion of the application of mathematical methods for modelling and simulation, data management, systems analysis and decision support within the entire water sector.

The key themes covered in this Special Issue are as follows:

• Systems Analysis, Big Data and Machine Learning
• Computational Fluid Dynamics (CFD)
• Process Modelling
• Instrumentation, Control and Automation (ICA)

Guest Editors:

Dr Ramesh Saagi, (Lund University, Sweden)

Dr Elham Ramin, (Technical University of Denmark, Denmark)

Dr Xueming Chen, (Technical University of Denmark, Denmark)

Editorial: Modelling and integrated assessment of urban water systems

Ramesh Saagi, Elham Ramin, Xueming Chen

Water Science & Technology (2020) 81 (8): iii–v.

DOI: https://doi.org/10.2166/wst.2020.307

Looking deeper – exploring hidden patterns in reactor data of N-removal systems through clustering analysis

Luz Alejo, John Atkinson, Susanne Lackner

Water Science & Technology (15 April 2020) 81 (8): 1569–1577.

DOI: https://doi.org/10.2166/wst.2020.029

Evaluation of environmental impacts for future influent scenarios using a model-based approach

S. Andersson, M. Rahmberg, Å. Nilsson, C. Grundestam, R. Saagi, E. Lindblom

Water Science & Technology (15 April 2020) 81 (8): 1615–1622.

DOI: https://doi.org/10.2166/wst.2020.183

Energy saving for air supply in a real WWTP: application of a fuzzy logic controller

G. Bertanza, L. Menoni, P. Baroni

Water Science & Technology (15 April 2020) 81 (8): 1552–1557.

DOI: https://doi.org/10.2166/wst.2020.084

Application of unsupervised learning and process simulation for energy optimization of a WWTP under various weather conditions

Sina Borzooei, Gisele H. B. Miranda, Soroush Abolfathi, Gerardo Scibilia, Lorenza Meucci, Maria Chiara Zanetti

Water Science & Technology (15 April 2020) 81 (8): 1541–1551.

DOI: https://doi.org/10.2166/wst.2020.220

A review of flux identification methods for models of sedimentation

R. Bürger, J. Careaga, S. Diehl

Water Science & Technology (15 April 2020) 81 (8): 1715–1722.

DOI: https://doi.org/10.2166/wst.2020.113

Simulation and control of dissolved air flotation and column froth flotation with simultaneous sedimentation

Raimund Bürger, Stefan Diehl, María Carmen Martí, Yolanda Vásquez

Water Science & Technology (15 April 2020) 81 (8): 1723–1732.

DOI: https://doi.org/10.2166/wst.2020.258

A CFD strategy to retrofit an anaerobic digester to improve mixing performance in wastewater treatment

D. Dapelo, J. Bridgeman

Water Science & Technology (15 April 2020) 81 (8): 1646–1657.

DOI: https://doi.org/10.2166/wst.2020.086

Implementation of an environmental decision support system for controlling the pre-oxidation step at a full-scale drinking water treatment plant

Lluís Godo-Pla, Pere Emiliano, Santiago González, Manel Poch, Fernando Valero, Hèctor Monclús

Water Science & Technology (15 April 2020) 81 (8): 1778–1785.

DOI: https://doi.org/10.2166/wst.2020.142

Evaluation of a new X-band weather radar for operational use in south Sweden

Seyyed Hasan Hosseini, Hossein Hashemi, Ronny Berndtsson, Nicholas South, Henrik Aspegren, Rolf Larsson, Jonas Olsson, Andreas Persson, Lisa Olsson

Water Science & Technology (15 April 2020) 81 (8): 1623–1635.

DOI: https://doi.org/10.2166/wst.2020.066

Data-driven fault detection methods for detecting small-magnitude faults in anaerobic digestion process

Pezhman Kazemi, Jaume Giralt, Christophe Bengoa, Jean-Philippe Steyer

Water Science & Technology (15 April 2020) 81 (8): 1740–1748.

DOI: https://doi.org/10.2166/wst.2020.026

No-regret selection of effective control handles for integrated urban wastewater systems management under parameter and input uncertainty

J. M. Ledergerber, T. Maruéjouls, P. A. Vanrolleghem

Water Science & Technology (15 April 2020) 81 (8): 1749–1756.

DOI: https://doi.org/10.2166/wst.2020.144

Identification of behavioural model input data sets for WWTP uncertainty analysis

E. Lindblom, U. Jeppsson, G. Sin

Water Science & Technology (15 April 2020) 81 (8): 1558–1568.

DOI: https://doi.org/10.2166/wst.2019.427

A cost-effective IoT strategy for remote deployment of soft sensors – a case study on implementing a soft sensor in a multistage MBBR plant

A. M. Nair, A. Hykkerud, H. Ratnaweera

Water Science & Technology (15 April 2020) 81 (8): 1733–1739.

DOI: https://doi.org/10.2166/wst.2020.067

An autonomous operational trajectory searching system for an economic and environmental membrane bioreactor plant using deep reinforcement learning

KiJeon Nam, SungKu Heo, Jorge Loy-Benitez, Pouya Ifaei, ChangKyoo Yoo

Water Science & Technology (15 April 2020) 81 (8): 1578–1587.

DOI: https://doi.org/10.2166/wst.2020.053

PARAFAC model as an innovative tool for monitoring natural organic matter removal in water treatment plants

Sikelelwa N. Ndiweni, Michael Chys, Nhamo Chaukura, Stijn W. H. Van Hulle, Thabo T. I. Nkambule

Water Science & Technology (15 April 2020) 81 (8): 1786–1796.

DOI: https://doi.org/10.2166/wst.2020.136

Water and wastewater CFD and validation: are we losing the balance?

I. Nopens, D. Sudrawska, W. Audenaert, D. Fernandes del Pozo, U. Rehman

Water Science & Technology (15 April 2020) 81 (8): 1636–1645.

DOI: https://doi.org/10.2166/wst.2020.181

Appraisal of water quality indices for service reservoirs in water distribution networks

M. S. Nyirenda, T. T. Tanyimboh

Water Science & Technology (15 April 2020) 81 (8): 1606–1614.

DOI: https://doi.org/10.2166/wst.2020.215

Dynamic grit chamber modelling: dealing with particle settling velocity distributions

Queralt Plana, Paul Lessard, Peter A. Vanrolleghem

Water Science & Technology (15 April 2020) 81 (8): 1682–1699.

DOI: https://doi.org/10.2166/wst.2020.108

Towards a comprehensive uncertainty assessment in environmental research and decision support

Peter Reichert

Water Science & Technology (15 April 2020) 81 (8): 1588–1596.

DOI: https://doi.org/10.2166/wst.2020.032

CFD-based process optimization of a dissolved air flotation system for drinking water production

K. Satpathy, U. Rehman, B. Cools, L. Verdickt, G. Peleman, I. Nopens

Water Science & Technology (15 April 2020) 81 (8): 1668–1681.

DOI: https://doi.org/10.2166/wst.2020.028

Assessment of aeration control strategies for biofilm-based partial nitritation/anammox systems

O. Schraa, A. Rosenthal, M. J. Wade, L. Rieger, I. Miletić, J. Alex

Water Science & Technology (15 April 2020) 81 (8): 1757–1765.

DOI: https://doi.org/10.2166/wst.2020.174

Plant-wide modelling in wastewater treatment: showcasing experiences using the Biological Nutrient Removal Model

A. Seco, M. V. Ruano, A. Ruiz-Martinez, A. Robles, R. Barat, J. Serralta, J. Ferrer

Water Science & Technology (15 April 2020) 81 (8): 1700–1714.

DOI: https://doi.org/10.2166/wst.2020.056

Integrated model predictive control of water resource recovery facilities and sewer systems in a smart grid: example of full-scale implementation in Kolding

P. A. Stentoft, L. Vezzaro, P. S. Mikkelsen, M. Grum, T. Munk-Nielsen, P. Tychsen, H. Madsen, R. Halvgaard

Water Science & Technology (15 April 2020) 81 (8): 1766–1777.

DOI: https://doi.org/10.2166/wst.2020.266

Partial integration of ADM1 into CFD: understanding the impact of diffusion on anaerobic digestion mixing

Yohannis Mitiku Tobo, Usman Rehman, Jan Bartacek, Ingmar Nopens

Water Science & Technology (15 April 2020) 81 (8): 1658–1667.

DOI: https://doi.org/10.2166/wst.2020.076

Modelling heat recovery potential from household wastewater

C. Wärff, M. Arnell, R. Sehlén, U. Jeppsson

Water Science & Technology (15 April 2020) 81 (8): 1597–1605.

DOI: https://doi.org/10.2166/wst.2020.103