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使用人工智能对气候变化影响的预测建模:对公平治理和可持续结果的审查
Kingsley Ukoba1, Oluwatayo Racheal Onisuru2, Tien-Chien Jen1
1Department of Mechanical Engineering Science, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa.
概括
人工智能 (AI) 通过开发先进的模型来增强气候变化预测. 人工智能为复杂的气候动态提供解决方案,使更好的适应策略能够为性未来提供更好的适应策略.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 气候变化给生态系统和社会带来了复杂的挑战.
- 先进的预测建模对于理解和减轻气候影响至关重要.
研究的目的:
- 审查人工智能 (AI) 在开发气候变化影响预测模型中的应用.
- 评估AI在分析复杂气候数据和预测未来情景方面的能力.
主要方法:
- 使用PRISMA框架进行系统的文献审查.
- 对人工智能技术 (如机器学习和气候建模中的预测分析) 的研究分析.
主要成果:
- 人工智能模型有效地收集和分析复杂的气候数据模式,从而能够准确预测未来的情景和适应需求.
- 挑战包括数据缺口,特别是相互连接的系统,以及将人工智能见解转化为可行的政策建议.
结论:
- 将人工智能与物理模型集成和开发混合方法可以解决数据缺口并提高模型准确性.
- 人工智能驱动的预测建模正在改变气候变化评估,并促进可持续的,有弹性的未来战略.
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