Open Special Issues from IWA Publishing
Management of Lakes and Reservoirs
Stemming from the IWA Lake and Reservoir Management Conference 2024, this Special Issue focuses on cutting-edge research, practical approaches, and interdisciplinary perspectives to address the multifaceted challenges associated with maintaining and improving the quality of these water bodies. Available in: Water Quality Research Journal and Hydrology Research Deadline for submission: 30 April 2025 Call for Papers: Management of Lakes and Reservoirs |
Insights and Challenges into Decision Analytics for Sustainable Water Reuse
With the growing need for efficient water management solutions, this Special Issue seeks to highlight innovative methodologies, technologies, and case studies that leverage decision analytics to optimize the sustainability of water reuse systems. Available in: Water Reuse Deadline for submission: 21 May 2025 Call for Papers: Insights and Challenges into Decision Analytics for Sustainable Water Reuse |
Smart Water Supply Systems
Ever-increasing pressures have meant that new approaches and techniques have become crucial to provide additional features for water supply networks. This Special Issue looks to discuss the role of instrumentation, metering, controls, sensors and computational intelligence for design of smart water supply. Available in: Water Supply and AQUA - Water Infrastructure, Ecosystems and Society Deadline for submission: 30 May 2025 Call for Papers: Smart Water Supply Systems |
Digital Water
Adopting digital innovations is essential to manage challenges in water system performance, intensified by climate change and urbanisation. This Special Issue explores cutting-edge research emphasising machine learning (ML) and artificial intelligence (AI) in modelling complex water systems. Available in: Blue-Green Systems, Water Science & Technology, Journal of Hydroinformatics and Water Practice & Technology Deadline for submission: 01 June 2025 Call for Papers: Digital Water |
Sailing Through Change: AI and ML Approaches for Climate-Resilient Hydrology
Recent advancements in artificial intelligence (AI) and machine learning (ML) are transforming hydrological modelling in the face of climate change. This Special Issue showcases how these innovative methods can advance our understanding, prediction and management of water resources under shifting climatic conditions. Available in: Hydrology Research Deadline for submission: 27 June 2025 Call for Papers: Sailing Through Change: AI and ML Approaches for Climate-Resilient Hydrology |
Building Water Resilience: Who, Why, and How
Water security and sustainability have long been used to address water-related challenges and building resilience is crucial to achieve this and to ensure systems function in the face of shocks and stresses. This Special Issue explores the progress of water resilience, emerging scientific thinking, tools, and practices Available in: H2Open Journal Deadline for submission: 30 June 2025 Call for Papers: Building Water Resilience: Who, Why, and How |
Shaping Tomorrow’s Cities in Times of Water and Climatic Extremes
With water representing a unifying challenge and the top global risk in cities worldwide, this Special Issue takes a critical look at the mainstreaming of water in climate change action and takes lessons from leading cities that have already been embracing a water focus in their planning for many years. Available in: Journal of Water & Climate Change Deadline for submission: 30 June 2025 Call for Papers: Shaping Tomorrow’s Cities in Times of Water and Climatic Extremes |
Nuclear Waste Disposal in the Vicinity of Watersheds: Perception vs. Fact
Nuclear energy is considered a viable solution for climate change mitigation but it cannot be labeled “green” due to its radioactive waste products. This Special Issue seeks to clarify the status and solutions for nuclear waste management in the context of water quality. Available in: Water Quality Research Journal Deadline for submission: 01 August 2025 Call for Papers: Nuclear Waste Disposal in the Vicinity of Watersheds: Perception vs. Fact |