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Updated: Aug 3, 2026

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
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基于机器学习算法的碳排放与能源消耗的空间差异化:在2015-2020年期间在中国西的一个案例研究

Hongye Cao1, Ling Han2, Ming Liu2

  • 1China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd., Xi'an 710043, China; College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710061, China.

Journal of environmental sciences (China)
|August 24, 2024
PubMed
概括

精确的碳排放估计至关重要. 使用夜间灯光 (NTL) 卫星数据的贝叶斯优化XGboost模型显著提高了准确性,超过了有效监测碳排放和制定政策的传统方法.

关键词:
能源碳排放 能源碳排放机器学习是机器学习.夜间的灯光 夜间的灯光空间分布的空间分布

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