Application of Smart Technologies in Integrated Water Quality Modeling

Dear Colleagues,

A good ecological environment is the foundation for sustainable development; human activities have introduced unpredictable impacts on the ecological environment in the course of social and economic development, thereby presenting challenges for its effective management. Fluctuations in water quality emerge as a pivotal aspect of the ecological environment, intricately intertwined with water resources, aquatic ecosystems, and human activities. Accurate prediction of water quality stands as a catalyst for enhancing ecological management capabilities. This necessitates the exploration of comprehensive water quality models. This Special Issue aims to delve into methodologies pertaining to water quality, encompassing water resources, aquatic ecosystems, and the assessment of water environment carrying capacities, alongside case studies in representative regions. Our pursuit encompasses several dimensions: first, the refinement of mechanistic models through the assimilation of regional parameters acquired via on-site investigations or experiments; second, the development of nonlinear models tailored to special regions; third, the exploration of integrated water quality models grounded in extensive datasets, combing machine learning techniques. Ultimately, our aspiration rests upon the synergistic integration of conventional surveys, empirical studies, and smart technologies, thus propelling the advancement of comprehensive water quality modeling.

Dr. Tianxiang Wang
Dr. Alex Neumann
Guest Editors

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