New Sensors, New Technologies and Machine Learning in Water Sciences
A section of Water (ISSN 2073-4441).
Section Information
The section of New Sensors, New Technologies and Machine Learning in Water Sciences publishes research articles and critical reviews on:
- New sensors to measure water level, discharge and stream velocity, physical properties (temperature, pressure, PH, …) of water, water quality and contamination, sediment transport, soil moisture, water in the vegetation, groundwater/surface-water connections;
- New technologies of fixed and mobile monitoring systems including innovative in-situ (on the ground or in the water);
- Earth observations of the water cycle from Unmmaned Autonomous Vehicles (UAV), Autonomous Underwater Vehicle (AUV) and Earth Observation satellites;
- Big data and machine learning for water sciences;
- Citizen observations contributing to water sciences.
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Advanced Research on Integrating Remote Sensing Data and Hydrologic Modeling (Deadline: 30 November 2024)
- Editorial Board Members' Collection Series: Natural Ice/Snow and Human: From Mountain to Sea (Deadline: 15 December 2024)
- Application of Digital Twins and Artificial Intelligence Technology in Watershed Flood Disaster Warning and Control (Deadline: 20 December 2024)
- Advancing the Monitoring and Modelling of Freshwater Systems with New Remote Sensing Technologies (Deadline: 20 December 2024)
- Application of New Technology in Water Mapping and Change Analysis (Deadline: 20 December 2024)
- Mashups for Effective Hydrological Hazard Management: Applications and Theoretical Approaches (Deadline: 20 December 2024)
- Ice and Snow Properties and Their Applications (Deadline: 31 December 2024)
- Application of Machine Learning in Hydrologic Sciences (Deadline: 31 December 2024)
- Design of Cyber-Secure Water Plants (Deadline: 15 January 2025)
- Application of Digital Twin in Water Management (Deadline: 25 January 2025)
- Analysis and Simulation of Urban Floods (Deadline: 20 February 2025)
- Application of Machine Learning Models for Flood Forecasting (Deadline: 25 February 2025)
- Computer Modelling Techniques in Environmental Hydraulics and Water Resource Engineering (Deadline: 20 March 2025)
- Application of Artificial Intelligence (AI) in Water Quality Monitoring (Deadline: 20 March 2025)
- Water Resource Management in Artificial Intelligence and Big Data Analytics (Deadline: 10 April 2025)
- Applications of Remote Sensing and GISs in River Basin Ecosystems (Deadline: 20 April 2025)
- Water Modeling Using Combined Machine Learning and Fieldwork Investigation (Deadline: 23 April 2025)
- Applications of Remote Sensing and Modeling in Hydrological Systems (Deadline: 25 April 2025)
- Use of Remote Sensing Technologies for Water Resources Management (Deadline: 30 April 2025)
- Potential of Artificial Intelligence in Addressing Critical Challenges Related to Water Resources (Deadline: 20 May 2025)
- Machine Learning Models for Flood Hazard Assessment (Deadline: 20 May 2025)
- Theory and Technology of Water-Induced Geological Disaster Prevention and Water Resource Utilization in Mines (Deadline: 25 May 2025)
- Application of Machine Learning in Hydrogeology (Deadline: 30 May 2025)
- Numerical and Experimental Methods, Data Analyses, Digital Twin, IoT Machine Learning and AI in Water Sciences (Deadline: 31 May 2025)
- Machine Learning in Water Distribution Systems and Sewage Systems (Deadline: 20 June 2025)
- Machine Learning Methods for Flood Computation (Deadline: 30 June 2025)
- Global Water Risks Across Shared River Corridors in Transboundary Basins (Deadline: 20 December 2025)
