Challenge the Ecosystem and AI Combating Climate Change

Abstract

  Bottom cold water mass provides abundant nutrients and cool water in summer, playing a pivotal role in the productivity of marine ecosystem and sustainable aquaculture development. Located in the most densely populated region, the Yellow Sea cold water mass (YSCWM) is a unique one influencing hundreds of millions of people living in the rim of the Yellow Sea. As anthropogenic carbon emissions continue, how the YSCWM will be altered by climate change becomes a pressing issue, but remains elusive. Using an unprecedented set of climate models with high resolution and biogeochemical components, we find that the volume of the YSCWM will shrink by 48% to 2040–2050, along with the bottom temperature warming of 0.4 ± 0.1 °C dec−1 and the dissolved oxygen concentration declining of 0.09 ± 0.04 mg (L dec)−1. The significant destruction of the YSCWM is driven by the strengthened Yellow Sea Warm Current (YSWC). The reduced land-sea thermal contrast is the cause of the circulation change, by weakening the East Asian winter monsoon. Due to the resultant profound habitat reduction for marine life, predicting the change of the YSCWM will have far-reaching influences on the future policy-making for sustainable development of offshore aquaculture.

   This paper offers an in-depth exploration of different approaches to reduce greenhouse gas emissions, adapt to environmental changes, and create resilience among vulnerable populations. With their capacity to process big data, stabilize complex systems, and produce actionable insights quickly, AI technologies represent a significant force in developing ideas and solutions for the complex global system threats to climate change [1]. AI technologies pave the way for researchers and practitioners to devise more sophisticated climate modelling, optimize renewable energy systems, improve agriculture, and facilitate climate-adaptive measures and disaster response. In addition, this paper analyzes the impacts and the ethics in the context in which AI technologies can be deployed to combat climate change and adaptation. However, AI presents an impossible breakthrough in climate issues. However, at the same time, it generates problems with data protection, the prejudice of the algorithms, and the issues of social inequality [1]. Therefore, an analytical consideration of risks and tradeoffs related to AI-driven remedies is necessary to support the idea that climate solutions will be equitable and transparent and consider social values. This paper will carefully review the literature and case and provide clear ground on how AI technology is transformative in tackling the challenges associated with climate change. Moreover, the paper will navigate ethical complexities that may be inherent in deploying AI technologies globally.

Keywords- Climate Change , Artificial Intelligence, Environmental Sustainability temp trend °C decade−1, Data Privacy.