Emerging Issues of Urban Water Systems Modeling and Analysis, Volume II

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

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 2351
Related Special Issue: Emerging Issues of Urban Water Systems Modeling and Analysis

Special Issue Editors

Department of Civil Engineering, The University of Suwon, Gyeonggi-do 18323, Republic of Korea
Interests: water resources (hydrosystems) engineering; water distribution system modelling and analysis; water-related disaster adaptation and management, optimization, artificial intelligence (AI) and digital twin (DT)-based data analysis and physical modelling in water area
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Department of Civil and Environmental Engineering, Chung-Ang University, Seoul 06974, Republic of Korea
Interests: hydrology; climate change; sustainability; machine learning; artificial intelligence; big data; sensor networks; IoT (Internet of Things); early warning systems; hydrological modeling, disaster and risk management
Special Issues, Collections and Topics in MDPI journals
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,

Urban water systems (UWSs) are the most essential part of public infrastructure and face multiple challenges related to future uncertainties in providing a more sustainable and resilient service. UWSs typically include water collection, storage, treatment, transport (via tunnels and pipelines), sewer, and drainage facilities.

Because of the large scale and complexity of urban water systems, water behavior prediction through accurate computer modeling and analysis is essential, and predicted results should be reflected in actual planning, design, and operation. The modeling procedure and results can be varied, dependent upon the implementation model dimensions (1D, 2D, and 3D), governing equations, calibration and verification techniques, simulation scenarios (normal/abnormal), and type of observed data.

The goal of this Special Issue is to concentrate on emerging topics of urban water systems modeling and analysis, especially in water supply and drainage networks. Topics of interest include but are not limited to:

  • New hydraulic, hydrologic, and water quality modeling and analysis techniques in UWSs;
  • Optimal design of urban water supply and drainage systems, including water network partitioning;
  • (Dynamic) calibration and verification issues for real-time modeling and data analysis;
  • UWSs response and recovery under catastrophic failure events;
  • Big data and analytic challenges for the management of UWSs using IoT-based measured data;
  • Innovative metrics for resilience computation in UWSs;
  • Rainfall–runoff modeling in UWSs under climate change and urbanization;
  • Actions to protect UWSs from accidental and intentional contamination;
  • Optimization algorithms and artificial intelligence base techniques for dealing with large networks (any civil infrastructure can be covered).

Prof. Dr. Do Guen Yoo
Prof. Dr. Changhyun Jun
Prof. Dr. Young Hwan Choi
Guest Editors

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  • urban water systems
  • modeling and analysis
  • hydraulic, hydrologic, and water quality
  • optimal design and management
  • optimization/metaheuristic algorithms

Published Papers (1 paper)

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16 pages, 2679 KiB  
Technical Note
Qualification of Hydraulic Analysis Models for Optimal Design of Water Distribution Systems
Appl. Sci. 2021, 11(17), 8152; https://doi.org/10.3390/app11178152 - 02 Sep 2021
Cited by 1 | Viewed by 1651
The hydraulic analysis of water distribution systems (WDSs) is divided into two approaches, namely, a demand-driven analysis (DDA) and a pressure-driven analysis (PDA). In DDA, the basic assumption is that the nodal demand is fully supplied irrespective of the nodal pressure, which is [...] Read more.
The hydraulic analysis of water distribution systems (WDSs) is divided into two approaches, namely, a demand-driven analysis (DDA) and a pressure-driven analysis (PDA). In DDA, the basic assumption is that the nodal demand is fully supplied irrespective of the nodal pressure, which is mainly suitable for normal operating conditions. However, in abnormal conditions, such as pipe failures or unexpected increases in demand, the DDA approach may cause unrealistic results, such as negative pressure. However, despite these realistic hydraulic analysis approaches for WDSs being emphasized in the design process, this consideration was lacking in the design aspect. Therefore, in this study, the designs by the DDA-based design model and PDA-based design model are compared, and their design characteristics are analyzed to identify the efficiency of the WDSs design under abnormal system conditions. The developed PDA model was applied to three networks (a well-known benchmark system and a real-life WDN), and the results showed that the proposed model is superior to other reported models when dealing with negative pressure under abnormal conditions. In addition, the optimal design of WDN considered PDA is presented, and the optimal construction cost is decreased to increase the percentage of PDA. Full article
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