Multi-variate hybrid modeling for pacific ocean acidification: predicting future pH trends and analyzing key biogeochemical drivers

作     者：Vasanth, K. Kishore, R. K. Sugumaran, Vijayan Krishnamoorthy, Raja Ramdas, Rithvik Tadepalli, Satya Kiranmai 

作者机构：Electronics and Communication Engineering Chaitanya Bharathi Institute of Technology Hyderabad India Department of Computer Science and Engineering M. Kumarasamy College of Engineering Thavapalayam Karur India Department of Decision and Information Sciences School of Business Administration Oakland University Rochester USA Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishnankoil India Artificial Intelligence and Data Science Chaitanya Bharathi Institute of Technology Hyderabad India 

出 版 物：《CSI Transactions on ICT》 

年 卷 期：2024年第13卷第1期

页      面：99-116页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：Ocean acidification, driven by rising atmospheric carbon dioxide levels, poses a significant threat to the health of marine ecosystems, particularly in the Pacific Ocean. This study employs a multi-variate hybrid machine learning approach to predict future pH trends within the Pacific and to analyze the influence of key biogeochemical drivers on these trends. Hybrid models, strategically combining the strengths of individual algorithms, were developed for predicting several ocean acidification parameters. A performance analysis demonstrated the superior accuracy of hybrid models compared to their counterparts. The predicted pH trends reveal a concerning shift towards increased acidity within the Pacific Ocean, highlighting the urgency of understanding and mitigating its impacts. In-depth analysis was conducted to identify the relative influence of key biogeochemical factors on the changing pH dynamics. This research aims to provide crucial insights for developing targeted mitigation strategies and protecting the vulnerable ecosystems of the Pacific Ocean from the escalating consequences of ocean acidification.