Advanced Approaches in Sustainable Water Resources Cycle Management

A special issue of Resources (ISSN 2079-9276).

Deadline for manuscript submissions: 20 May 2026 | Viewed by 4874

Special Issue Editors


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Guest Editor
Department of Infrastructure and Water Management, Rzeszow University of Technology, Al. Powstańców Warszawy 6, 35-959 Rzeszów, Poland
Interests: waste heat recovery systems; sewage systems; underground infrastructure; modeling of infrastructure; water management; rainwater harvesting systems; retention
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E-Mail Website
Guest Editor
Department of Infrastructure and Water Management, Rzeszow University of Technology, Rzeszów, Poland
Interests: alternative water resources; rainwater harvesting systems; renewable energy sources; heat recovery systems; sewage systems; hydrodynamic modeling; life cycle cost analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Water is one of the most valuable natural resources, and it forms the basis of human existence. Urbanization and industrialization are seen as the main factors increasing the degree of environmental pollution, as well as deteriorating the quality of water resources and limiting their availability in many places around the world. In addition, the state of water resources is affected by climate change and unsustainable exploitation. To counteract these problems, it is necessary to change the approach to water resource management and implement innovative practices, programs, devices, and technologies. It is therefore necessary to take into account economic, social, environmental, and political aspects and their interactions. This Special Issue of Resources invites scientific articles on the broadly understood research and management of water resources. We encourage submissions on, but not limited to, water resources conservation and optimization, the adaptation of water policies to changing climatic conditions, decision support systems, risk assessments of water scarcity and flooding, and water resource monitoring and modeling, as well as technological use of alternative water sources such as rainwater and greywater.

Prof. Dr. Daniel Słyś
Dr. Agnieszka Stec
Guest Editors

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Keywords

  • water resources
  • blue-green infrastructure
  • water management
  • rainwater
  • greywater
  • alternative water resources
  • low-impact systems
  • sustainable development

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Published Papers (2 papers)

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Research

23 pages, 2504 KB  
Article
Enhancing Flood Mitigation and Water Storage Through Ensemble-Based Inflow Prediction and Reservoir Optimization
by Kwan Tun Lee, Jen-Kuo Huang and Pin-Chun Huang
Resources 2026, 15(2), 21; https://doi.org/10.3390/resources15020021 - 29 Jan 2026
Abstract
This study presents an integrated decision support system (DSS) designed to optimize real-time reservoir operation during typhoons by balancing flood control and water supply. The system combines ensemble quantitative precipitation forecasts (QPF) from WRF/MM5 models, a physically based rainfall–runoff model (KW-GIUH), and a [...] Read more.
This study presents an integrated decision support system (DSS) designed to optimize real-time reservoir operation during typhoons by balancing flood control and water supply. The system combines ensemble quantitative precipitation forecasts (QPF) from WRF/MM5 models, a physically based rainfall–runoff model (KW-GIUH), and a three-stage optimization algorithm for reservoir release decisions. Eighteen ensemble rainfall members are processed to generate 6 h inflow forecasts, which serve as inputs for determining adaptive outflow strategies that consider both storage requirements and downstream flood risks. The DSS was tested using historical typhoon events—Talim, Saola, Trami, and Kong-rey—at the Tseng-Wen Reservoir in Taiwan. Results show that the KW-GIUH model effectively reproduces hydrograph characteristics, with a coefficient of efficiency around 0.80, while the optimization algorithm successfully maintains reservoir levels near target storage, even under imperfect rainfall forecasts. The mean deviation of reservoir water levels from the recorded to the target values is less than 0.18 m. The system enhances operational flexibility by adjusting release rates according to the proposed outflow index and flood-stage classification. During major storms, the DSS effectively allocates storage space for incoming floods while maximizing water retention during recession periods. Overall, the integrated framework demonstrates strong potential to support real-time reservoir management during extreme weather conditions, thereby improving both flood mitigation and water-supply reliability. Full article
(This article belongs to the Special Issue Advanced Approaches in Sustainable Water Resources Cycle Management)
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24 pages, 3083 KB  
Article
Hydrological Assessment Using the SWAT Model in the Jundiaí River Basin, Brazil: Calibration, Model Performance, and Land Use Change Impact Analysis
by Larissa Brêtas Moura, Tárcio Rocha Lopes, Sérgio Nascimento Duarte, Pietro Sica and Marcos Vinícius Folegatti
Resources 2025, 14(7), 112; https://doi.org/10.3390/resources14070112 - 15 Jul 2025
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Abstract
Flow regulation and water quality maintenance are considered ecosystem services, as they provide environmental benefits with a measurable economic value to society. Distributed or semi-distributed hydrological models can help identify where land use decisions yield the greatest economic and environmental returns related to [...] Read more.
Flow regulation and water quality maintenance are considered ecosystem services, as they provide environmental benefits with a measurable economic value to society. Distributed or semi-distributed hydrological models can help identify where land use decisions yield the greatest economic and environmental returns related to water resources. For these reasons, this study integrated simulations performed with the SWAT (Soil and Water Assessment Tool) model under varying land use conditions, aiming to balance potential benefits with the loss of ecosystem services. Among the tested parameters, those associated with surface runoff showed the highest sensitivity in simulating streamflow for the Jundiaí River Basin. Based on the statistical indicators R2, Nash–Sutcliffe efficiency (NS), and Percent Bias (PBIAS), the SWAT model demonstrated a reliable performance in replicating observed streamflows on a monthly scale, even with limited spatially distributed input data. Scenario 2, which involved converting 15% of pasture/agricultural land into forest, yielded the most favorable hydrological outcomes by increasing soil water infiltration and aquifer recharge while reducing surface runoff and sediment yield. These findings highlight the value of reforestation and land use planning as effective strategies for improving watershed hydrological performance and ensuring long-term water sustainability. Full article
(This article belongs to the Special Issue Advanced Approaches in Sustainable Water Resources Cycle Management)
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