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Sustainable Wastewater Management and Water Demand Analysis

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 5406

Special Issue Editors


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Guest Editor
Department of Civil and Mechanical Engineering (DICEM), University of Cassino and Southern Lazio, Via Di Biasio 43, 03043 Cassino, FR, Italy
Interests: hydrology; environmental engineering; civil engineering
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Via G. Di Biasio 43, 03043 Cassino, Italy
Interests: water demand modelling; probabilistic analysis of water consumption; water distribution systems rehabilitation/design and management; water systems optimization modelling
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Via G. Di Biasio 43, 03043 Cassino, FR, Italy
Interests: two-phase air-water flows; optical measurement techniques for multiphase flows; machine learning for hydraulic engineering; wastewater management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

On a global scale, the water path is described by the hydrological cycle, which includes the phenomena of condensation, precipitation, surface and underground runoff and evaporation. In urban environments, on a local scale, the water path is described as an urban water cycle. By 2050, more than 70% of the world's population is expected to live in urban areas. Therefore, new challenging tasks await both researchers and managers of the urban water cycle, both as regards the forecast of the demand for drinking water and the management of wastewater. These challenges must be faced in full consideration of a totally organic and sustainable development approach.

Water demand is the driving force behind the dynamics of a water distribution system (WDS) and its correct characterization or the ability to forecast it could be of help for decision makers in WDS design/management analysis.

Moreover, for sustainable wastewater management, it is essential to evaluate the possibility of reusing the water resource; it is important to consider that the wastewater contains mineral nutrients and organic matter that represent valuable resources in agriculture. The organic matter is also a possible source for energy production.

The Special Issue of Sustainability “Sustainable wastewater management and water demand analysis” aims to cover recent advances related to the urban water cycle addressing the following topics:

-Water demand modelling and probabilistic analysis by means of theoretical approaches or field data;

- Water demand forecasting by means of classical or evolutionary approaches;

- Systems for the reuse of wastewater;

- Sustainable wastewater treatment systems;

- Advanced technologies to obtain energy and fertilizers from wastewater treatments.

Further related topics may be proposed by researchers interested in contributing to the Special Issue.

Prof. Dr. Francesco Granata
Dr. Carla Tricarico
Dr. Fabio Di Nunno
Guest Editors

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. Sustainability 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 2400 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

  • water distribution systems
  • residential water demand
  • probabilistic analysis
  • peak consumption
  • water demand forecasting
  • data driven analysis
  • wastewater reuse
  • sustainable wastewater treatment
  • energy from wastewater
  • wastewater hydraulics

Published Papers (2 papers)

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Research

19 pages, 310 KiB  
Article
Public Attitudes towards Digital Water Meters for Households
by Steven Hendrik Andreas Koop, Sharon Helena Pascale Clevers, Elisabeth Johanna Maria Blokker and Stijn Brouwer
Sustainability 2021, 13(11), 6440; https://0-doi-org.brum.beds.ac.uk/10.3390/su13116440 - 05 Jun 2021
Cited by 7 | Viewed by 2962
Abstract
In response to droughts, various media campaigns and water-saving instructions are released. However, these often only have temporary water conservation effects. A promising development in this regard is Digital Water Meters (DWM), which can provide near real-time water-use feedback. Despite extensive DWM experience [...] Read more.
In response to droughts, various media campaigns and water-saving instructions are released. However, these often only have temporary water conservation effects. A promising development in this regard is Digital Water Meters (DWM), which can provide near real-time water-use feedback. Despite extensive DWM experience in some water-stressed regions, a profound understanding of the initial attitude towards DWM and message-tailoring opportunities are rarely empirically explored. This study aims to obtain insights into the attitude towards the introduction of DWM and explore opportunities for message tailoring, a topic of extra relevance as we may be on the threshold of a large-scale DWM implementation in many world regions. Messages tailored to (i) normative beliefs and attitudes on drinking water, (ii) water-use activity and (iii) phase of decision-making, seem particularly compatible with DWM. Through a survey (n = 1037) in the Netherlands, we observe that 93% of respondents have no objections if their utility invests in DWM and that 78% would accept a (free) DWM because of improved leakage detection, lower costs and environmental considerations. Finally, instead of sociodemographic factors, we observe that an attitude-based customer segmentation approach is an especially useful predictor of respondent’s motivation to endorse DWM and forms a promising basis for water conservation message-tailoring strategies. Full article
(This article belongs to the Special Issue Sustainable Wastewater Management and Water Demand Analysis)
18 pages, 3327 KiB  
Article
Bottom-Up Generation of Peak Demand Scenarios in Water Distribution Networks
by Enrico Creaco, Giacomo Galuppini, Alberto Campisano and Marco Franchini
Sustainability 2021, 13(1), 31; https://0-doi-org.brum.beds.ac.uk/10.3390/su13010031 - 22 Dec 2020
Cited by 10 | Viewed by 1618
Abstract
This paper presents a two-step methodology for the stochastic generation of snapshot peak demand scenarios in water distribution networks (WDNs), each of which is based on a single combination of demand values at WDN nodes. The methodology describes the hourly demand at both [...] Read more.
This paper presents a two-step methodology for the stochastic generation of snapshot peak demand scenarios in water distribution networks (WDNs), each of which is based on a single combination of demand values at WDN nodes. The methodology describes the hourly demand at both nodal and WDN scales through a beta probabilistic model, which is flexible enough to suit both small and large demand aggregations in terms of mean, standard deviation, and skewness. The first step of the methodology enables generating separately the peak demand samples at WDN nodes. Then, in the second step, the nodal demand samples are consistently reordered to build snapshot demand scenarios for the WDN, while respecting the rank cross-correlations at lag 0. The applications concerned the one-year long dataset of about 1000 user demand values from the district of Soccavo, Naples (Italy). Best-fit scaling equations were constructed to express the main statistics of peak demand as a function of the average demand value on a long-time horizon, i.e., one year. The results of applications to four case studies proved the methodology effective and robust for various numbers and sizes of users. Full article
(This article belongs to the Special Issue Sustainable Wastewater Management and Water Demand Analysis)
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