Artificial Intelligence and Image Processing Approaches in Ecohydraulics, Ecohydrology, and Fluvial Engineering
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: closed (10 January 2024) | Viewed by 341
Special Issue Editors
Interests: ecohydraulics; vegetated flows; turbulence; CFD; experimental analysis; water resources management; remote sensing; river hydraulics
Special Issues, Collections and Topics in MDPI journals
Interests: hydrology; hydrogeology; groundwater flows; environmental science; water quality; geostatistical analysis; digital mapping; ecohydrology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As is well known, the scientific fields of ecohydrology and ecohydraulics are rapidly advancing, as seen in the growing volumes of data from flume- and field-scale experimental measurements and numerical modeling. In this framework, artificial intelligence (AI) approaches (i.e., soft computing models, deep learning, artificial neural networks, reinforcement learning, etc.) offer a wide range of methods capable of extracting knowledge from data on fluid mechanics and groundwater flows considering both ecohydraulical and ecohydrological perspectives. This Special Issue focuses on the proposal and application of current and emerging AI developments in the management of water resources and geosciences that, broadly speaking, are capable of analyzing, modeling, optimizing, and controlling the main ecohydrological and ecohydraulic traits of the examined water bodies and watersheds. The combination of AI techniques with the most advanced image process approaches used for reaching the goals are also of interest to the proposed Special Issue. Environmental, hydraulic, hydrodynamic, and groundwater scientists are strongly encouraged to submit their contributions to this Special Issue.
Dr. Giuseppe Francesco Cesare Lama
Dr. Gianluigi Busico
Guest Editors
Manuscript Submission Information
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Keywords
- ecohydraulics
- image processing
- ecohydrology
- fluid dynamics
- artificial neural networks
- experimental analysis
- water resources management
- deep learning
- riparian ecosystems
- soft-computing methods
