环境研究和健康中的人工智能技术:发展和前景
Zhuling Guo1, Lei Huang1, Jia Yan1
1School of Environmental Science and Engineering, Guangzhou University, Guangzhou 510006, China.
Environment international
|September 14, 2025
概括
人工智能 (AI) 正在彻底改变环境研究,显著提高数据分析效率. 人工智能在污染控制和治理中的应用是可持续发展和实现"双碳"目标的关键.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 绿色技术 绿色技术是一种绿色技术.
背景情况:
- 传统的环境研究范式对于复杂的机制是不够的.
- 人工智能 (AI) 正在推动环境科学中的绿色技术革命.
- 人工智能在环境数据分析中的计算效率提高了60%以上.
研究的目的:
- 在关键环境领域系统地总结人工智能应用.
- 分析人工智能,特别是机器学习 (ML) 在环境解决方案中的有效性.
- 确定挑战,并为环境研究中大规模人工智能实施提出解决方案.
主要方法:
- 在水污染处理,空气污染控制,固体废物处理,土壤修复和环境健康方面对人工智能应用的调查.
- 分析用于材料选,性能预测和污染物检测的机器学习 (ML) 方法.
- 识别诸如数据稀缺和复杂环境系统中的数据覆盖不均等等挑战.
主要成果:
- 人工智能在材料选,性能预测和即时检测方面表现出显著的有效性.
- 人工智能有助于模拟全球污染物分布和控制人类健康影响.
- 人工智能应用在促进环境保护和可持续发展方面表现有前途.
结论:
- 人工智能是解决复杂环境问题的强大工具,并加速绿色技术革命.
- 克服数据稀缺等挑战对于在环境科学中广泛采用人工智能至关重要.
- 人工智能将成为实现环境可持续性和"双碳"目标的核心驱动力.
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