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Applied Sciences
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Advances in Water Distribution System: Design, Optimization and Application
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Advances in Water Distribution System: Design, Optimization and Application

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".

Deadline for manuscript submissions: closed (10 September 2023) | Viewed by 2592

Special Issue Editor

Prof. Dr. Young Hwan Choi

E-Mail Website
Guest Editor
The Department of Civil and Infrastructure Engineering, Gyeongsang National University, Jingu, Gyeongsangnam-do 52725, Korea
Interests: water supply/distribution network modeling and analysis; water distribution system design, operation, and management; reliability and resilience analysis in water resources engineering; optimization and metaheuristics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Water distribution systems (WDSs) are the most essential part of the public infrastructure and face multiple challenges relating to future uncertainties in providing more sustainable and resilient service.

Considering the large scale and complexity of WDSs, water behavior prediction through accurate computer modeling and analysis is essential and predicted results should be reflected in planning, design and operation.

Especially, the recent optimal design of WDSs should consider system factors such as economic value, resilience in abnormal situations and robustness of supply, and environmental factors such as carbon emission and water quality simultaneously to increase user satisfaction.

The goal of this Special Issue is to concentrate on water distribution systems design and application via optimization approaches or artificial intelligent techniques. Topics of interest include, but are not limited to:

  • innovative methodologies, techniques and technology for water distribution system design and operation;
  • new hydraulic and water quality modeling and analysis techniques in WDSs;
  • (multi-/many-objectives) optimal design of WDSs;
  • modeling-based WDSs design approaches considering abnormal system conditions;
  • big data and analytic challenges for the design and management of WDSs;
  • application of IoT in water distribution systems;
  • divide-and-conquer techniques for water network partitioning;
  • innovative metrics for resilience computation in WDSs;
  • innovative metahueristic optimization algorithms for dealing with large scale networks and real-world WDSs design.

Prof. Dr. Young Hwan Choi
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. Applied Sciences 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

  • new hydraulic and water quality modeling and analysis techniques in WDSs
  • (multi-/many-objectives) optimal design of WDSs
  • modeling-based WDSs design approaches considering abnormal system conditions
  • big data and analytic challenges for the design and management of WDSs
  • application of IoT in water distribution systems
  • divide-and-conquer techniques for water network partitioning
  • innovative metrics for resilience computation in WDSs
  • innovative metahueristic optimization algorithms for dealing with large scale networks and real-world WDSs design

Published Papers (2 papers)

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Research

14 pages, 5481 KiB  
Article
Development of a Multi-Objective Optimal Design Approach for Combined Water Systems
by Mun Jin Ko and Young Hwan Choi
Appl. Sci. 2023, 13(9), 5474; https://doi.org/10.3390/app13095474 - 27 Apr 2023
Viewed by 1236
Abstract
Recently, due to extreme climate change, damage from flooding has been increasing; however, water shortages are being announced simultaneously. Moreover, the water distribution system’s ability to supply consumers is being overwhelmed because of urbanization, population concentration, and increases in water consumption. For this [...] Read more.
Recently, due to extreme climate change, damage from flooding has been increasing; however, water shortages are being announced simultaneously. Moreover, the water distribution system’s ability to supply consumers is being overwhelmed because of urbanization, population concentration, and increases in water consumption. For this reason, to solve the water shortage problem, water reuse technologies are developing and improving that perform simple chemical treatment processes to reuse water for flushing toilets, washing, gardening, etc. but not as drinking water. However, most water reuse systems are designed and operated as independent systems, such as reusing water used in individual buildings or using rainwater. Therefore, this study develops an optimal design for the combined water systems, which is modeling and designing water distribution systems, urban drainage systems, and water reuse systems simultaneously to solve the water shortage and reduce flooding damage. To consider the combined water systems design, the existing water distribution system (WDS) demand is divided into drinking water and other uses, and the resource of other water is assumed by the rainwater storage tank for covering the amount of exceeding precipitation. To derive optimal design solutions for the combined three water systems, single- and multi-objective optimization techniques are applied considering various design criteria (i.e., construction cost, system resilience, and flooding volume on the exceeding design rainfall intensity). The developed combining water system design techniques could be used to create designs that solve the problems of medium and long-term water shortages and sustainable water systems development. Full article
(This article belongs to the Special Issue Advances in Water Distribution System: Design, Optimization and Application)
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16 pages, 1364 KiB  
Article
Development of an Evaluation Method for Deriving the Water Loss Reduction Factors of Water Distribution Systems: A Case Study in Korean Small and Medium Cities
by Young Hwan Choi, Taeho Choi, Do Guen Yoo and Seungyub Lee
Appl. Sci. 2022, 12(24), 12530; https://doi.org/10.3390/app122412530 - 07 Dec 2022
Viewed by 982
Abstract
This study introduces a method that can evaluate the efficiency of leakage management practices and devises a formula to set leakage management goals. To develop the evaluation method for deriving leakage reduction factors, real data from small- and medium-sized cities in South Korea [...] Read more.
This study introduces a method that can evaluate the efficiency of leakage management practices and devises a formula to set leakage management goals. To develop the evaluation method for deriving leakage reduction factors, real data from small- and medium-sized cities in South Korea were collected. With the data collected, four leakage management factors (or activities) that could improve revenue water ratio or reduce leakage ratio were identified. With the leakage management factors, correlation analysis was carried out to identify the relationship between independent and dependent variables and within independent variables. Once the relationships were identified, standardization of the data using T-score conversion was carried out to scale all data with different units into similar ranges. Finally, the efficiency of leakage management actions was determined by the formulation of leakage using various data analysis approaches using multiple linear regression analysis and deep neural networks. As a result, pipe replacement was determined as an essential activity to decrease the leakage ratio or increase the revenue water ratio. In addition, annual water loss management actions of the small cities were more actively performed. Furthermore, the performance of data analysis using DNN is more appropriate in data classification, considering the characteristics of time series rather than independent data analysis. Through comparison of the above data classification approaches, the increase or decrease in the leakage ratio/revenue water ratio by the water loss management activity of local water distribution systems can be used to construct a more effective model for classification considering both local and temporal characteristics. Full article
(This article belongs to the Special Issue Advances in Water Distribution System: Design, Optimization and Application)
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