The ecological environments of coastal and estuarine waters have experienced substantial and rapid changes over the last few decades, and the variability of hydrodynamic conditions is one of the most important factors causing the ecological environment changes. Therefore, it is necessary to explore and interpret the hydrodynamics in coastal and estuarine waters using various methodologies such as remote sensing, in-situ observation, and numerical modelling to better understand mechanisms of the ecological environment changes. Besides local hydrodynamics, the logical environment can also be affected by regional or global events. These influences can be further interpreted on different temporal and spatial scales by analyzing detailed physical processes, which may help to understand how ecological environments change in response to different external forcing. Clarifications of both the ecological environmental changes and the causative dynamic mechanisms are vital for conducting effective protection of ecological environments in coastal and estuarine waters. In-depth studies in this area may benefit environmental management work and help the adoption of appropriate mitigation measures for ecological environments.
This research topic assembles a series of original research articles that use remote sensing, in situ observations, and numerical modelling methods to elucidate the ecological changes in coastal and estuarine waters and the dynamics that affect them. These studies will improve understanding of the connections between ecological environment changes and underlying dynamical mechanisms.
• High accuracy simulations of ecological and hydrodynamical properties in comparisons with in-situ observations and remote sensing data.
• Coastal and estuarine circulation, stratification, and mixing characteristics with regional and global forcings.
• Long-term variability of ecological environments in coastal and estuarine waters and associated local hydrodynamic conditions of circulation, stratification, mixing, etc.
• Ecological environment changes in coastal and estuarine waters under global warming conditions.
• Machine learning and deep learning technology applications in analyzing ecological parameter change and hydrodynamics in coastal and estuarine waters.
The ecological environments of coastal and estuarine waters have experienced substantial and rapid changes over the last few decades, and the variability of hydrodynamic conditions is one of the most important factors causing the ecological environment changes. Therefore, it is necessary to explore and interpret the hydrodynamics in coastal and estuarine waters using various methodologies such as remote sensing, in-situ observation, and numerical modelling to better understand mechanisms of the ecological environment changes. Besides local hydrodynamics, the logical environment can also be affected by regional or global events. These influences can be further interpreted on different temporal and spatial scales by analyzing detailed physical processes, which may help to understand how ecological environments change in response to different external forcing. Clarifications of both the ecological environmental changes and the causative dynamic mechanisms are vital for conducting effective protection of ecological environments in coastal and estuarine waters. In-depth studies in this area may benefit environmental management work and help the adoption of appropriate mitigation measures for ecological environments.
This research topic assembles a series of original research articles that use remote sensing, in situ observations, and numerical modelling methods to elucidate the ecological changes in coastal and estuarine waters and the dynamics that affect them. These studies will improve understanding of the connections between ecological environment changes and underlying dynamical mechanisms.
• High accuracy simulations of ecological and hydrodynamical properties in comparisons with in-situ observations and remote sensing data.
• Coastal and estuarine circulation, stratification, and mixing characteristics with regional and global forcings.
• Long-term variability of ecological environments in coastal and estuarine waters and associated local hydrodynamic conditions of circulation, stratification, mixing, etc.
• Ecological environment changes in coastal and estuarine waters under global warming conditions.
• Machine learning and deep learning technology applications in analyzing ecological parameter change and hydrodynamics in coastal and estuarine waters.