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气候变化和沿海形态动力学:区域规模的相互作用
Piyali Chowdhury1, Naresh Kumar Goud Lakku2, Susana Lincoln1
1International Marine Climate Change Centre (iMC3), The Centre for Environment, Fisheries and Aquaculture Science (Cefas), Pakefield Road, Lowestoft, Suffolk NR33 0HT, United Kingdom.
The Science of the total environment
|August 20, 2023
概括
由于气候变化和人类活动,沿海形态动力学正在发生变化. 本研究回顾了沿海监测的传统和人工智能方法,并提出了一个气候弹性框架,用于更好地管理沿海区域.
科学领域:
- 环境科学 环境科学
- 地质科学是地球科学.
- 气候科学 气候科学
背景情况:
- 沿海地区面临着气候变化和人类活动带来的越来越大的压力,改变了形态动力学.
- 在动态的沿海环境中监测和数据解释具有挑战性,特别是在数据稀缺的地区.
- 传统的遥感和数值方法至关重要,但在复杂的沿海生态系统中存在局限性.
研究的目的:
- 综合审查传统和人工智能 (AI) 方法来研究沿海动态,海岸线变化和监测.
- 探索AI在填补数据缺口和分析大规模,长期沿海数据集方面的潜力.
- 为加强沿海地区管理和政策提出气候弹性框架.
主要方法:
- 关于传统遥感和数值建模技术的文献综述.
- 审查新兴的人工智能 (AI) 方法,包括机器学习和深度学习.
- 综合发现,提出一个综合的气候弹性框架.
主要成果:
- 人工智能技术有望克服传统方法的局限性,特别是在数据稀缺的领域.
- 人工智能使复杂的多维数据集在长时间和空间尺度上的分析成为可能.
- 该研究确定了沿海侵蚀研究和综合管理的关键方法.
结论:
- 人工智能为沿海动态研究和监测提供了显著的优势.
- 拟议的气候适应性框架可以改善沿海地区管理和政策.
- 该研究通过加强沿海管理战略,支持联合国可持续发展目标13 (气候行动).
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