Title : Role of artificial intelligence and remote sensing in remediation of aquatic pollution and development of numerical oceanic climate prediction models (NOCPM)
Abstract:
This Study aims to apply Artificial Intelligence and Remote Sensing (AIRS) to study Aquatic toxicology, Air-Sea CO2 exchange, Ocean Energy, and correlate with Climate Variability to develop physicochemical and Spectroscopic methods, to control Aquatic pollution resulting due to toxins by developing innovative technologies to harness Ocean Energy using Renewable energy, and detoxifying materials for evolving non-toxic cleaning products.
Also, efforts are on to correlate the Ocean Systems Interactions, Risks, Instabilities, and Synergies (OSIRIS), with Oceanic Toxicity, due to Sea-based Pollutants in the Ocean ecosystem as well as the impacts of Oceanic multiple stressors, and risks of abrupt state shift, rising of sea level, melting of the glaciers, vis-à-vis Climate Change.
The ‘Numerical Oceanic Climate Prediction Models, would be developed based on study of the Oceanic Energetics through the Deep-Sea studies, using the Artificial Intelligence and Remote Sensing (AIRS), to compute an Oceanic Sustainability by detoxification of water, regulating Oceanic Salinity, and controlling Aquatic and Marine pollution.
Next, through the process of Initialization, Computation, and Parameterization, within the (1 x 1) deg. Grid-box of the computed Sea surface Temperatures (SSTs), Sea-Subsurface Temperature (SSSTs), and Deep-Sea Surface Temperatures (DSSTs), measuring by the ‘Artificial Intelligence Robots’-(AIRs).
By incorporating the computed values of (SSTs), (SSSTs),(DSSTs), and (OSIRIS) the efforts would be made to compute the ‘Numerical Oceanic Climate Prediction Model’(NOCPM), by the computer algorithm DALL·E 3 along with High-Resolution Satellite imageries, data access, assimilation, and cloud computing for real-time analysis to explore the morphological and dynamical characteristics of Deep-Seas, Sea-Sub Surfaces, Sea Surfaces i.e. Ocean energetics.