Advanced Research on Digital Twins in Hydro Systems

Dear Colleagues,

We are pleased to invite submissions for a Special Issue on "Advanced Research on Digital Twins in Hydro Systems", focusing on the transformative potential of digital twin technology across various hydrological segments. This Special Issue aims to bring together cutting-edge research and innovative practices that explore the application of digital twins—from smart systems to real-time integrated twins—in managing and optimizing water resources and infrastructures.

Scope and Topics:

This Special Issue seeks contributions that span a range of topics related to digital twins in hydro systems, including, but not limited to, the following:

1. Urban Digital Twins for Water Management
   • Integration of hydrological models and urban systems for real-time water management.
   • Applications in surface runoff, stormwater management, and flood mitigation.
   • Case studies on urban water infrastructure and smart city initiatives.
2. Digital Twins for Rivers and Surface Water Systems
   • Simulation and optimization of river basin management.
   • Predictive modeling for flood forecasting and ecosystem management.
   • Multi-dimensional data integration for riverine systems.
3. Lakes and Reservoirs
   • Monitoring and management using digital twin technologies.
   • Coupling remote sensing data with real-time simulation.
   • Applications in water quality management and sediment transport.
4. Groundwater Systems
   • Development of subsurface digital twins for aquifer management.
   • Linking groundwater models with climate and surface water systems.
   • Decision-support systems for groundwater sustainability.
5. Sewer and Drainage Systems
   • Real-time monitoring and predictive analytics for sewer networks.
   • Optimization of combined sewer overflow systems.
   • Integration of digital twins in smart drainage infrastructure.
6. Cross-cutting Themes and Technologies
   • Machine learning, IoT, and big data analytics in digital twin development.
   • Standardization and interoperability of digital twin frameworks.
   • Ethical, legal, and social considerations in water digital twins.
7. Nexus of Hydrological Systems via Digital Segmental Twins
   • Integration of individual digital twins (e.g., rivers, lakes, groundwater) into holistic systems.
   • Exploring dependencies and feedback between hydrological segments, such as urban runoff and river flooding.
   • Applications of comprehensive digital twins in cross-system optimization and resilience-building.
   • Interdisciplinary methodologies for creating and linking digital segmental twins.

Prof. Dr. Jürgen Stamm
Prof. Dr. Dongkyun Kim
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 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 250 words) can be sent to the Editorial Office for assessment.

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 2600 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.