Modeling Approaches for Marine Environmental Sustainability

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🔬研究者:Provides an overview of mathematical modeling techniques for marine environmental issues, useful for researchers in interdisciplinary environmental science.

🏢実務担当者:Offers case studies and decision-making frameworks that can inform corporate sustainability strategies, especially in marine or coastal operations.

🏛政策担当者:Highlights the importance of integrated modeling for marine policy development, though the broad scope limits direct applicability to specific regulations.

The growing challenges of climate change, environmental degradation, marine pollution, and ecological instability demand innovative scientific approaches that combine mathematical rigor with practical sustainability solutions. In recent decades, mathematical modelling has emerged as one of the most powerful interdisciplinary tools for understanding complex environmental systems, predicting ecological transitions, and designing evidence-based mitigation strategies. This book has been developed with the objective of contributing to this important and rapidly evolving field. The chapters presented in this volume explore a wide spectrum of contemporary environmental problems through advanced mathematical, computational, and engineering frameworks. The book focuses particularly on the application of nonlinear dynamical systems, hydrodynamic modelling, compartmental analysis, optimal control theory, machine learning integration, and sustainability-oriented engineering solutions. The first chapter, Quantifying Microplastic Flux and Control across Environmental Interfaces: An Analytical Dynamics Study, investigates the transport and accumulation of microplastics across terrestrial, aquatic, marine, and human biological systems. Through the integration of the Homotopy Perturbation Method (HPM), machine learning techniques, and optimal control strategies, the study presents a comprehensive framework for understanding the long-term environmental and public health implications of microplastic pollution. The second chapter, Marine Carbon Electrochemical Buffering and Conversion System (MCEBCS): By using the novel integrated concept of carbon dioxide Emission Reduction in Marine Environments, introduces an innovative marine carbon mitigation framework based on electrochemical alkalinity enhancement and renewable energy integration. The chapter highlights the urgent need for sustainable marine carbon management technologies and proposes a scalable solution for reducing dissolved carbon dioxide concentrations while protecting marine ecosystems. The third chapter, Coupled Hydrodynamic-Biogeochemical Modelling of Coastal Ecosystem Resilience: A Comparative Study of the Sundarbans and Gulf of Mannar, presents a coupled modelling framework to investigate ecological tipping points in vulnerable coastal systems. Using Saint-Venant equations, Advection-Diffusion-Reaction models, and probabilistic Monte Carlo simulations, the work provides valuable insights into salinity intrusion, thermal stress, coral bleaching, and coastal ecosystem resilience under climate change scenarios. The fourth chapter, The Adyar River is one of the principal river systems flowing through the metropolitan region of Chennai and receives substantial anthropogenic waste originating from domestic discharge, industrial runoff, urban drainage, stormwater transport, and plastic waste accumulation. During monsoon seasons, increased hydrodynamic flow significantly enhances the transport of suspended microplastic particles toward the coastal marine ecosystem of the Bay of Bengal. Consequently, the selected study region provides an ideal environmental framework for validating the proposed nonlinear compartmental microplastic transport model. The fifth chapter, Marine resources play a crucial role in maintaining ecological balance, economic growth, food security, and sustainable coastal development. However, increasing environmental pollution, overfishing, climate change, habitat destruction, and unsustainable industrial activities have significantly threatened marine ecosystems worldwide. Due to the uncertainty and interdependency among environmental, economic, technological, and policy-related factors, traditional evaluation approaches are insufficient for analysing the complex relationships affecting sustainable marine resource management. Therefore, this study proposes an integrated Interval-Valued Type-2 Intuitionistic Fuzzy Decision-Making Trial and Evaluation Laboratory (IVT2IF–DEMATEL) approach to identify, evaluate, and analyse the causal relationships among the major drivers influencing sustainable marine resource management. This book is intended for researchers, academicians, postgraduate students, environmental engineers, marine scientists, policy makers, and interdisciplinary scholars interested in mathematical environmental sciences and sustainability studies. The methodologies discussed in this volume aim not only to advance theoretical understanding but also to support practical decision-making for environmental protection and climate adaptation. We sincerely hope that this work will encourage further interdisciplinary collaboration between mathematics, environmental science, engineering, and public policy. The environmental problems facing our world today are complex and interconnected, and addressing them requires integrated scientific thinking and collective global action. We express our sincere gratitude to our respective institutions, colleagues, reviewers, and researchers whose valuable insights and support contributed to the completion of this work. We also acknowledge the broader scientific community working tirelessly toward environmental sustainability and ecological resilience. We dedicate this book to future generations with the hope that scientific innovation, responsible governance, and sustainable practices will together contribute to a healthier and more resilient planet. Initially, the influencing drivers are identified through an extensive literature review and expert consultation. Subsequently, the IVT2IF framework is employed to handle uncertainty and vagueness in expert judgments, while the DEMATEL method is utilized to determine prominence and causal interrelationships among the drivers. The proposed methodology enables the classification of factors into cause-and-effect groups based on their influence levels. The findings indicate that climate change impact, marine pollution control, sustainable fishing practices, and coastal policy implementation are the most significant drivers influencing marine sustainability. Furthermore, technological advancement in marine monitoring and effective waste management are identified as major causal factors affecting the overall marine ecosystem. The results provide valuable insights for policymakers, environmental agencies, and marine researchers in developing strategic policies for sustainable marine resource utilization and conservation.

• openalex https://doi.org/10.5281/zenodo.20124050first seen 2026-05-31 04:33:40 · last seen 2026-06-10 04:36:57