用卫星图像量化从一个大型热带湖中扩散甲排放的量化
Hongtao Duan1,2, Qitao Xiao1,3, Tianci Qi1
1Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu 210008, People's Republic of China.
Environmental science & technology
|August 31, 2023
概括
湖泊甲 (CH4) 排放很难跟踪,因为它的变化. 卫星数据和随机森林模型准确地预测了这些排放,揭示了气候变暖.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 气候科学 气候科学
背景情况:
- 湖泊是甲 (CH4) 的重要来源,甲是一种强大的温室气体.
- 定量湖泊CH4排放是具有挑战性的,因为高空间和时间的变化.
- 卫星遥感为大规模,高分辨率的排放监测提供了一个有希望的方法.
研究的目的:
- 开发和验证一种基于卫星的方法,用于预测湖泊的扩散甲排放.
- 评估各种机器学习模型在估计CH4流量的性能.
- 确定影响湖泊甲排放的关键环境驱动因素.
主要方法:
- 利用了来自太湖的Aqua/MODIS卫星图像 (2003-2020年) 和现场数据 (2011-2017年).
- 对比了八种用于预测扩散CH4排放的机器学习模型.
- 使用随机森林 (RF) 模型,通过卫星衍生变量 (叶绿素a,水温,光衰减,PAR) 进行验证.
主要成果:
- 随机森林模型在预测CH4排放方面表现出最高的准确性 (R2 = 0.65,MRE = 21%).
- 卫星衍生变量 (叶绿素a,水温,分散衰减系数,PAR) 是关键预测因素.
- 重建的历史CH4排放量 (2003-2020年) 显示了与气候变暖和藻类繁殖有关的长期增加.
结论:
- 卫星遥感,特别是使用射频模型,可以有效地绘制湖泊CH4排放.
- 环境因素,如水温和藻类存在机制驱动CH4排放.
- 这种方法为了解水生温室气体预算和气候变化影响提供了关键的时空数据.
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