Special Issue "Water Supply Assessment Systems Developing"

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Resources Management, Policy and Governance".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Prof. Dr. João Filipe Santos
E-Mail Website
Guest Editor
Civil Engineering, Polytechnic Institute of Beja, 7800-309 Beja, Portugal
Interests: hydraulics and water resources engineering; hydrology; hydraulics structures design and water resources availability
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Nelson Carriço
E-Mail Website
Guest Editor
Civil Engineering, Polytechnic Institute of Setubal, Barreiro School of Technology, 2839-001 Lavradio, Portugal
Interests: hydraulics and water resources engineering; infrastructure asset management; MCDA; risk management; urban hydraulics

Special Issue Information

Dear Colleagues

The year 2015 was a landmark for multilateralism and international policy shaping, with the adoption of several major agreements, one of them were the United Nations (UN) Sustainable Development Goals (SDGs) for 2030 announced at the Summit realized in September. Updating the Millennium Development Goals (MDGs), the 17 SDGs cover an ambitious range of global topics and include water and sanitation at its core in the new agenda. A dedicated SDG 6 declaring a commitment to “Ensure availability and sustainable management of water and sanitation for all”. According to the UN the SDG6 on water and sanitation provides a tremendous opportunity to accelerate progress on the 2030 Agenda, given the water sector’s central role in human rights, poverty reduction, inequality elimination, peace and justice, and the environment (UN-Water, 2018).

For the achievement of this SDG 6 global targets the development of water supply assessment systems plays an important and crucial role in the sustainability of water resources management.

This Special Issue will focus on highlighting ongoing research investigations and new methodologies in the developing appropriate methods and tools to measure, monitor and improve water supply are of great importance.

Within this framework, the Editors of this Special Issue would like to invite original research contributions that emphasize the following areas:

- Performance assessment systems for regular and reliable information;

- Web based platforms for criteria and metrics of water supply systems performance and dissemination of results for use in decision-making and policy-making;

- Development of performance improvement plans for private and public sectors;

- Assessment frameworks and financial plans for water supply rehabilitation;

- Water governance and regulatory processes regarding the management of water supply systems;

- Risk management concepts in the development of assessment systems in water supply that could innovate in respect to the limitations of current methods and assessment practices;

- Big data for water supply assessment systems.

Submissions of both general methodological contributions as well as case studies of the development of water supply assessment systems in different regions covering a wide range of possible governance types are strongly encouraged.

Prof. Dr. João Filipe Santos
Prof. Dr. Nelson Carriço
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 papers will be 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 2000 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

  • Infrastructure asset management
  • Performance assessment systems
  • Innovative techniques on risk assessment
  • Big data for water supply assessment systems
  • Incorporation of climate change scenarios in the development of assessment systems

Published Papers (6 papers)

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Research

Article
Rehabilitation of an Industrial Water Main Using Multicriteria Decision Analysis
Water 2021, 13(22), 3180; https://doi.org/10.3390/w13223180 - 10 Nov 2021
Viewed by 364
Abstract
This paper demonstrates the application of multicriteria decision analysis (MCDA) methodology in a real case study aiming to choose the best rehabilitation intervention of an industrial water main. This methodology is composed of three main stages: problem identification, structuring, and evaluation. Problem structuring, [...] Read more.
This paper demonstrates the application of multicriteria decision analysis (MCDA) methodology in a real case study aiming to choose the best rehabilitation intervention of an industrial water main. This methodology is composed of three main stages: problem identification, structuring, and evaluation. Problem structuring, a crucial stage for the outcomes, includes identifying objectives, selecting scenarios within the analysis period, defining problem alternatives, and defining the problematic type. Problem evaluation includes the selection of assessment metrics, selection of the aggregation method, application of the method, and a sensitivity and robustness analysis. Two scenarios, nine assessment metrics, and seven alternatives are established, and two ranking methods (the additive model and ELECTRE III method) are used to compare the alternatives. The results show that the best solution corresponds to building a new pipe and deactivating the existing one, as it significantly reduces the pipe failure risk and O&M costs, whereas the worst solution is always the status quo case, since it is the only alternative that does not improve the system performance, independently of the ranking method and the analyzed scenario. Full article
(This article belongs to the Special Issue Water Supply Assessment Systems Developing)
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Article
Enhanced Water Age Performance Assessment in Distribution Networks
Water 2021, 13(18), 2574; https://doi.org/10.3390/w13182574 - 18 Sep 2021
Viewed by 661
Abstract
Water age is frequently used as a surrogate for water quality in distribution networks and is often included in modelling and optimisation studies, though there are no reference values or standard performance functions for assessing the network behaviour regarding water age. This paper [...] Read more.
Water age is frequently used as a surrogate for water quality in distribution networks and is often included in modelling and optimisation studies, though there are no reference values or standard performance functions for assessing the network behaviour regarding water age. This paper presents a novel methodology for obtaining enhanced system-specific water age performance assessment functions, tailored for each distribution network. The methodology is based on the establishment of relationships between the chlorine concentration at the sampling nodes and simulated water age. The proposed methodology is demonstrated through application to two water distribution systems in winter and summer seasons. Obtained results show a major improvement in comparison with those obtained by published performance functions, since the water age limits of the performance functions used herein are tailored to the analysed networks. This demonstrates that the development of network-specific water age performance functions is a powerful tool for more robustly and reliably defining water age goals and evaluating the system behaviour under different operating conditions. Full article
(This article belongs to the Special Issue Water Supply Assessment Systems Developing)
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Article
Spatiotemporal Correlation Feature Spaces to Support Anomaly Detection in Water Distribution Networks
Water 2021, 13(18), 2551; https://doi.org/10.3390/w13182551 - 17 Sep 2021
Viewed by 483
Abstract
Monitoring disruptions to water distribution dynamics are essential to detect leakages, signal fraudlent and deviant consumptions, amongst other events of interest. State-of-the-art methods to detect anomalous behavior from flowarate and pressure signal show limited degrees of success as they generally neglect the simultaneously [...] Read more.
Monitoring disruptions to water distribution dynamics are essential to detect leakages, signal fraudlent and deviant consumptions, amongst other events of interest. State-of-the-art methods to detect anomalous behavior from flowarate and pressure signal show limited degrees of success as they generally neglect the simultaneously rich spatial and temporal content of signals produced by the multiple sensors placed at different locations of a water distribution network (WDN). This work shows that it is possible to (1) describe the dynamics of a WDN through spatiotemporal correlation analysis of pressure and volumetric flowrate sensors, and (2) analyze disruptions on the expected correlation to detect burst leakage dynamics and additional deviant phenomena. Results gathered from Portuguese WDNs reveal that the proposed shift from raw signal views into correlation-based views offers a simplistic and more robust means to handle the irregularity of consumption patterns and the heterogeneity of leakage profiles (both in terms of burst volume and location). We further show that the disruption caused by leakages can be detected shortly after the burst, highlighting the actionability of the proposed correlation-based principles for anomaly detection in heterogeneous and georeferenced time series. The computational approach is provided as an open-source tool available at GitHub. Full article
(This article belongs to the Special Issue Water Supply Assessment Systems Developing)
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Article
Optimal Number of Pressure Sensors for Real-Time Monitoring of Distribution Networks by Using the Hypervolume Indicator
Water 2021, 13(16), 2235; https://doi.org/10.3390/w13162235 - 17 Aug 2021
Viewed by 698
Abstract
This article proposes a novel methodology to determine the optimal number of pressure sensors for the real-time monitoring of water distribution networks based on a quality hypervolume indicator. The proposed methodology solves the optimization problem for different numbers of pressure sensors, assesses the [...] Read more.
This article proposes a novel methodology to determine the optimal number of pressure sensors for the real-time monitoring of water distribution networks based on a quality hypervolume indicator. The proposed methodology solves the optimization problem for different numbers of pressure sensors, assesses the gain of installing each set of sensors by means of the hypervolume indicator and determines the optimal number of sensors by the variation of the hypervolume indicator. The methodology was applied to a real case study. Several robustness analyses were carried out. The results demonstrate that the methodology is hardly influenced by the method parameters and that a reasonable estimation of the optimal number of sensors can be easily achieved. Full article
(This article belongs to the Special Issue Water Supply Assessment Systems Developing)
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Article
Near–Real Time Burst Location and Sizing in Water Distribution Systems Using Artificial Neural Networks
Water 2021, 13(13), 1841; https://doi.org/10.3390/w13131841 - 01 Jul 2021
Viewed by 1581
Abstract
The current paper proposes a novel methodology for near–real time burst location and sizing in water distribution systems (WDS) by means of Multi–Layer Perceptron (MLP), a class of artificial neural network (ANN). The proposed methodology can be systematized in four steps: (1) construction [...] Read more.
The current paper proposes a novel methodology for near–real time burst location and sizing in water distribution systems (WDS) by means of Multi–Layer Perceptron (MLP), a class of artificial neural network (ANN). The proposed methodology can be systematized in four steps: (1) construction of the pipe–burst database, (2) problem formulation and ANN architecture definition, (3) ANN training, testing and sensitivity analyses, (4) application based on collected data. A large database needs to be constructed using 24 h pressure–head data collected or numerically generated at different sensor locations during the pipe burst occurrence. The ANN is trained and tested in a real–life network, in Portugal, using artificial data generated by hydraulic extended period simulations. The trained ANN has demonstrated to successfully locate 60–70% of the burst with an accuracy of 100 m and 98% of the burst with an accuracy of 500 m and to determine burst sizes with uncertainties lower than 2 L/s in 90% of tested cases and lower than 0.2 L/s in 70% of the cases. This approach can be used as a daily management tool of water distribution networks (WDN), as long as the ANN is trained with artificial data generated by an accurate and calibrated WDS hydraulic models and/or with reliable pressure–head data collected at different locations of the WDS during the pipe burst occurrence. Full article
(This article belongs to the Special Issue Water Supply Assessment Systems Developing)
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Article
Evaluation of Dam Water-Supply Capacity in Korea Using the Water-Shortage Index
Water 2021, 13(7), 956; https://doi.org/10.3390/w13070956 - 31 Mar 2021
Cited by 1 | Viewed by 621
Abstract
This study evaluates the dam water-supply capacity in Korea using the water shortage index. The water-shortage index (SI) and generalized water-shortage index (GSI) used in this study are evaluated and modified slightly by considering both the damage cost due [...] Read more.
This study evaluates the dam water-supply capacity in Korea using the water shortage index. The water-shortage index (SI) and generalized water-shortage index (GSI) used in this study are evaluated and modified slightly by considering both the damage cost due to water-supply failure and the construction cost of water-supply systems in Korea. The modified indices are then applied for performance evaluation of 16 multipurpose dams in Korea, whose results are evaluated using different units: each dam, each river basin, and all dams. In the analysis of the dam level and basin level, water-supply problems are detected in several dams and in some river basins. However, the SI and GSI estimated for all dams are found to be lower than 1. This result indicates that, even though the total amount of storage capacity is enough to satisfy the design supply, water resources are not well spatially distributed in Korea. It is also found that the modified indices are valid to describe the performance of each dam in water deficient regions during occurrence years of major droughts. In conclusion, the SI and GSI can offer alternative ways of evaluating dam water supply under different environmental conditions and potentially help determine optimal water-storage capacity of dams. Full article
(This article belongs to the Special Issue Water Supply Assessment Systems Developing)
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