Integrating AI and Strategic Frameworks to Enhance Coastal Resilience in the United States: A Systemic Approach Using the PCCR Methodology
Year: 2024
Type: article
Abstract: U.S. coastal regions are increasingly vulnerable to environmental stressors like rising sea levels and extreme weather, posing significant threats to economic, ecological, and social stability. Traditional management approaches are insufficient due to their reactive nature and lack of dynamic data integration. This paper introduces a systemic approach combining Artificial Intelligence (AI) with the Prevention, Containment, Concretion, Reaction (PCCR) methodology to enhance coastal resilience. The AI-PCCR framework applies AI across prevention, containment, concretion, and reaction phases, offering predictive modeling, real-time monitoring, optimized infrastructure design, and efficient disaster response. Challenges include data availability and ethical considerations, while opportunities involve improved prediction and stakeholder engagement. This approach addresses gaps in traditional strategies, providing a promising path for coastal resilience, with future research needed on scalability, equity, and ethical frameworks.
Author: José Gabriel Carrasco Ramírez
Language: English
Topic: Coastal and Marine Dynamics
Subfield: Earth-Surface Processes
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7084106899
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