Artificial Intelligence and Image Processing Approaches in Ecohydraulics, Ecohydrology, and Fluvial Engineering

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

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