Integrative Methodologies for Mountain Torrent Disaster Resilience: Bridging Physical Modeling, Artificial Intelligence, and Multi-Scale Monitoring
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".
Deadline for manuscript submissions: 25 May 2026 | Viewed by 63
Special Issue Editors
Interests: basin water resource management; complex system analysis and modeling; urban lake habitat restoration; digital watershed technology and application; geographic information system; development and integration of decision support systems
Special Issues, Collections and Topics in MDPI journals
Interests: meteorological and hydrological forecasting technology for river basins; digital watershed technology and application
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mountain torrent disasters threaten communities and infrastructure globally. While early warning systems have advanced in recent years, there remains an urgent need for resilient mitigation systems that adapt to uncertainties and reduce cascading impacts. This Special Issue focuses on achieving methodological innovations by integrating physical mechanisms, AI-driven modeling, and multi-scale monitoring.
We invite original research and review articles addressing the following themes:
(1) Advanced physical modeling of rainfall-runoff and flood dynamics (e.g., distributed hydrological models and shallow water equation-based simulations) for high-fidelity mountain torrent scenario analysis;
(2) AI/ML techniques for nowcasting, uncertainty quantification, and predictive optimization—especially physics-informed neural networks (PINNs) and hybrid AI-physical frameworks;
(3) Multi-scale monitoring systems integrating satellite remote sensing, IoT sensors, UAVs, and radar for real-time data acquisition, fusion, and assimilation;
(4) Methodologies combining monitoring data with physical/AI models to improve forecast accuracy and operational decision-making;
(5) Resilience-oriented applications: dynamic risk assessment, impact-based warning, adaptive infrastructure design, and post-event recovery.
Submissions must present novel methodologies with validated case studies and discuss implications for long-term mountain torrent resilience.
Dr. Yi Liu
Dr. Jun Guo
Guest Editors
Manuscript Submission Information
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Keywords
- mountain torrent resilience
- physical process modeling
- AI-assisted forecasting
- multi-scale monitoring
- data assimilation
- early warning systems
- disaster risk reduction
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