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Water
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Modelling of Drinking Water Treatments to Deal with Global Change
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Modelling of Drinking Water Treatments to Deal with Global Change

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Wastewater Treatment and Reuse".

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 8683

Special Issue Editor

Dr. Hèctor Monclús

E-Mail Website
Guest Editor
LEQUIA, University of Girona, 17004 Girona, Spain
Interests: drinking water optimization; natural organic matter fractionation; decision support systems; membrane separation processes; fouling phenomena in membrane filtration; knowledge-based decision support tools; water supply management

Special Issue Information

Dear Colleagues,

Climate change affects the quality and quantity of water available for human consumption. Therefore, drinking water treatment plants (DWTP) require novel strategies to cope with the increasing anthropogenic pressure on the water bodies and more stringent regulations. The aim of this Special Issue of Water is to present a collection of applied case studies on how different mathematical and Artificial Intelligence (AI) models can help existing facilities to cope with this challenge. These strategies include predictive models for unit operations, risk assessment of drinking water processes, tracking of natural organic matter composition in DWTP (before, during, and post treatment), new indicators for water monitoring, impact of water recovery systems on DWTPs, the impact of direct/indirect potable reuse schemes and planning or water infrastuctures of the urban water cycle (UWC), decision support systems, and evaluating the uncertainty in drinking water models.

Dr. Hèctor Monclús
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • drinking water
  • indicators
  • modelling
  • natural organic matter
  • optimization
  • potable reuse

Published Papers (3 papers)

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Research

24 pages, 2435 KiB  
Article
The Organisational Structure of an Agent-Based Model for the Management of Wastewater Systems
by Luis Oliva-Felipe, Marta Verdaguer, Manel Poch, Javier Vázquez-Salceda and Ulises Cortés
Water 2021, 13(9), 1258; https://doi.org/10.3390/w13091258 - 30 Apr 2021
Cited by 1 | Viewed by 2063
Abstract
Water managers have to deal with complex problems due to the intertwined characteristics of processes, in particular those that occur in wastewater systems. Existing modelling approaches are usually centred in the physical, chemical and biological aspects of the individual processes, excluding the social [...] Read more.
Water managers have to deal with complex problems due to the intertwined characteristics of processes, in particular those that occur in wastewater systems. Existing modelling approaches are usually centred in the physical, chemical and biological aspects of the individual processes, excluding the social and organisational context that will generate the global behaviour. These also include the responsibilities and decision making of different actors in the system. This paper proposes an agent-based model with the novelty to integrate the social and organisational structure of the wastewater system from which emerges the global behaviour of the system. The modelling process allows considering the legal regulations and the technical limits that would drive the decision making. The instantiation of the model, implementing a small system, evidenced the usefulness of this approach to manage the complexity of wastewater systems and its possible contribution to prevent environmental problems. Full article
(This article belongs to the Special Issue Modelling of Drinking Water Treatments to Deal with Global Change)
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30 pages, 4668 KiB  
Article
Modelling Domestic Water Use in Metropolitan Areas Using Socio-Cognitive Agents
by Antoni Perello-Moragues, Manel Poch, David Sauri, Lucia Alexandra Popartan and Pablo Noriega
Water 2021, 13(8), 1024; https://doi.org/10.3390/w13081024 - 8 Apr 2021
Cited by 6 | Viewed by 2369
Abstract
In this paper, we present an agent-based model for exploring the interplay of basic structural and socio-cognitive factors and conventional water saving measures in the evolution of domestic water use in metropolitan areas. Using data of Barcelona, we discuss three scenarios that involve [...] Read more.
In this paper, we present an agent-based model for exploring the interplay of basic structural and socio-cognitive factors and conventional water saving measures in the evolution of domestic water use in metropolitan areas. Using data of Barcelona, we discuss three scenarios that involve plausible demographic and cultural trends. Results show that, in the three scenarios, aggregate outcomes are consistent with available conventional modelling (while total water use grows, per capita water use declines); however, the agent-based simulation also reveals, for each scenario, the different dynamics of simple policy measures with population growth, cultural trends and social influence; thus providing unexpected insights for policy design. Full article
(This article belongs to the Special Issue Modelling of Drinking Water Treatments to Deal with Global Change)
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17 pages, 3724 KiB  
Article
Development of an Environmental Decision Support System for Enhanced Coagulation in Drinking Water Production
by Jordi Suquet, Lluís Godo-Pla, Meritxell Valentí, Marta Verdaguer, Maria J. Martin, Manel Poch and Hèctor Monclús
Water 2020, 12(8), 2115; https://doi.org/10.3390/w12082115 - 25 Jul 2020
Cited by 16 | Viewed by 3520
Abstract
Drinking water production is subject to multiple water quality requirements such as minimizing disinfection byproducts (DBPs) formation, which are highly related to natural organic matter (NOM) content. For water treatment, coagulation is a key process for removing water pollutants and, as such, is [...] Read more.
Drinking water production is subject to multiple water quality requirements such as minimizing disinfection byproducts (DBPs) formation, which are highly related to natural organic matter (NOM) content. For water treatment, coagulation is a key process for removing water pollutants and, as such, is widely implemented in drinking water treatment plants (DWTPs) facilities worldwide. In this context, artificial intelligence (AI) tools can be used to aid decision making. This study presents an environmental decision support system (EDSS) for coagulation in a Mediterranean DWTP. The EDSS is structured hierarchically into the following three levels: data acquisition, control, and supervision. The EDSS relies on influent water characterization, suggesting an optimal pH and coagulant dose. The model designed for the control level is based on response surface methodology (RSM), targeted to optimize removal for the response variables (turbidity, total organic carbon (TOC), and UV254). Results from the RSM model provided removal percentages for turbidity (64.6%), TOC (21.9%), and UV254 (30%), which represented an increase of 4%, 33%, and 28% as compared with the DWTP water sample. Regarding the entire EDSS, 62%, 21%, and 25% of turbidity, TOC, and UV254 removal were fixed as the optimization criteria. Supervision rules (SRs) were included at the top of the architecture to intensify process performance under specific circumstances. Full article
(This article belongs to the Special Issue Modelling of Drinking Water Treatments to Deal with Global Change)
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