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Gil Marcio Avelino Silva1, Fernando Pellon de Miranda2, Jarbas Vicente Poley Guzzo2

  • 1Petroleo Brasileiro S.A., Rio de Janeiro, Brazil. gilmarcio@petrobras.com.br.

Scientific reports
|May 2, 2025
PubMed
概括

这项研究引入了一种新的方法,使用地化学数据和机器学习来精确确定海上石油泄漏的来源. 随机森林模型实现了91%的准确性,为环境监测提供了更快,更可靠的解决方案.

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