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23 - PANORAMA DA UTILIZAÇÃO DA INTELIGÊNCIA ARTIFICIAL NA GESTÃO DE RISCO DE MOVIMENTO DE MASSA: UMA ANÁLISE BIBLIOMÉTRICA COM FOCO EM APLICAÇÕES GEOTÉCNICAS E AMBIENTAIS

Doi: 10.47094/COBRAMSEG2026.2/23

PALAVRAS CHAVE: Deslizamento; Monitoramento Geotécnico; Tomada de Decisão; Sistemas de Alerta Precoce; Modelo Preditivo.

KEYWORDS: Landslide; Geotechnical Monitoring; Decision-Making; Early Warning Systems; Predictive Modeling.

ABSTRACT:
The increasing frequency of disasters related to mass movements, intensified by climate change and rapid urbanization, imposes severe socioeconomic impacts and growing challenges for risk management. At the same time, environmental and geotechnical monitoring generates an exponential volume of data—Big Data—requiring more robust analytical tools than traditional methods. Artificial Intelligence (AI) emerges as a transformative technology in this context, offering new capabilities for predictive modeling and information processing. The objective of this article is to present a comprehensive scientific overview of the application of artificial intelligence in risk management, with emphasis on its analytical functions and decision-support capabilities. To this end, a systematic bibliometric analysis was conducted using data extracted from Scopus and analyzed with the VOSviewer software. The results reveal an exponential growth in publications in recent years and identify three main thematic clusters in the application of artificial intelligence: (1) predictive modeling and landslide susceptibility analysis; (2) optimization of early warning systems; and (3) development of Decision Support Systems to assist decision-making in critical situations. It is concluded that artificial intelligence is consolidating itself as a strategic pillar, shifting mass movement risk management from a reactive approach to a proactive and predictive stance, and playing a fundamental role in effective monitoring and response.

Autores

  • Arthur Vinícius Freire Silva Ramos

  • Fabio Lopes Soares

  • Geovanna Karla da Silva Simões

  • Igor Fernandes Gomes

  • João Paulo Marçal de Souza

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