Sistema de Avaliação de Riscos de Desastres Utilizando Algoritmo de Máquina de Vetores de Suporte e Indicadores de Risco
English
DOI:
https://doi.org/10.48017/dj.v10i4.3509Palavras-chave:
Avaliação do risco de desastres, Algoritmo SVM, Indicadores de risco, Métodos mistos; Sistema de apoio à decisão, Sorsogon, FilipinasResumo
Este estudo desenvolveu um sistema de avaliação de riscos de desastres que integra o algoritmo de Máquina de Vetores de Suporte (SVM) e indicadores de risco derivados de dados de redes sociais e fontes oficiais. Utilizando o Processo Unificado Racional (RUP) para o desenvolvimento do sistema e um desenho de métodos mistos para a avaliação, o estudo foi conduzido na província de Sorsogon, Filipinas, propensa a desastres. O sistema utilizou um classificador SVM com núcleo linear para categorizar postagens em redes sociais como relacionadas ou não a desastres e calculou um Índice de Risco de Desastre (DRI) com base em cinco indicadores-chave: ameaça, exposição, vulnerabilidade e capacidade (contramedidas duras e brandas). As funcionalidades do sistema incluíram módulos de extração de dados, visualização baseada em SIG (Sistema de Informação Geográfica) e uma camada de segurança com criptografia SHA-256. Testes de usabilidade utilizando o questionário USE e entrevistas qualitativas revelaram altos níveis de utilidade percebida, facilidade de uso e satisfação entre os profissionais de gestão de desastres. Os resultados identificaram Juban, Sta. Magdalena e Bulan como os municípios com os maiores níveis de risco de desastre. O estudo conclui que o sistema proposto é uma ferramenta eficaz para aprimorar a preparação para desastres e recomenda sua futura implementação com integração de dados em tempo real e cobertura geográfica ampliada.
Métricas
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