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Analysis Study Research Paper | Environmental Science Studies | Volume 15 Issue 2, February 2026 | Pages: 850 - 854 | India
AI-Driven Monitoring of Marine Ecosystems During Vessel Sinking Incidents - A Comprehensive Review
Abstract: The marine ecosystem plays a crucial role in sustaining life on Earth, supporting a vast array of flora such as phytoplankton, sea grasses, and macroalgae, and fauna including corals, fish, marine mammals, planktonic organisms, and benthic species. These rich and diverse biological communities contribute to oxygen production, carbon sequestration, nutrient cycling, and shoreline protection. Moreover, marine ecosystems hold immense economic value by supporting global fisheries, maritime trade, tourism, biotechnology, and natural resource extraction- collectively contributing trillions of dollars to the world economy. However, vessel sinking incidents pose significant threats to these delicate ecosystems, causing oil spills, toxic chemical leakage, habitat destruction, and long-term ecological disruption. In recent years, Artificial Intelligence (AI) has emerged as a transformative tool for real-time monitoring, damage assessment, and mitigation of such marine environmental hazards. This comprehensive review examines the role of AI-driven technologies- such as remote sensing, computer vision, machine learning, autonomous underwater vehicles (AUVs), and predictive analytics- in monitoring marine ecosystems during and after vessel sinking events. The paper explores how AI enhances the detection of ecological disturbances, automates surveillance of impacted zones, supports rapid decision-making, and improves early warning and response systems. Additionally, it highlights AI?s potential to model pollutant dispersion, assess biodiversity loss, predict marine species displacement, and forecast long-term ecological consequences with higher precision. The review also addresses key challenges, including data scarcity, model reliability, cost constraints, and ethical considerations, while proposing future research directions to develop sustainable, interoperable, and advanced AI frameworks. Ultimately, this work underscores AI?s potential as a critical enabler for safeguarding marine ecosystems and enhancing disaster response strategies during vessel sinking incidents.
Keywords: Biodiversity, economic value, vessel sinking, ecological destruction & AI-driven technologies
How to Cite?: P. Sachi Devi, B. Mahima, "AI-Driven Monitoring of Marine Ecosystems During Vessel Sinking Incidents - A Comprehensive Review", Volume 15 Issue 2, February 2026, International Journal of Science and Research (IJSR), Pages: 850-854, https://www.ijsr.net/getabstract.php?paperid=SR26212145018, DOI: https://dx.dx.doi.org/10.21275/SR26212145018