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2012年至2023年,基于夜间光遥感的中国电力消费的空间化

Yanshu Wang^1,2, Mingquan Wu^1,2, Zheng Niu^1,2

¹International Research Center of Big Data for Sustainable Development Goals, State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.

Sensors (Basel, Switzerland)

|April 12, 2025

概括

这项研究开发了一种夜间光遥感模型,以估计中国在2012-2023年间的空间化电力消耗. 该模型解决了数据缺口,揭示了消费模式的变化,特别是在发展中城市地区.

科学领域:

环境科学环境科学
能源政策能源政策
遥感遥感遥感遥感

背景情况:

准确的空间化电力消耗数据对于能源基础设施规划和实现联合国可持续发展目标7 (SDG7) 至关重要.
中国面临的挑战是统计数据占主导地位,缺乏近期的空间化电力消费数据.
现有的数据限制阻碍了有效的能源设施规划和SDG7进展.

研究的目的:

为中国的电力消耗开发一个夜间灯光遥感估计模型.
创建一个空间化的电力消耗数据产品,涵盖2012-2023年中国.
分析中国电力消耗的时空变化.

主要方法:

使用的NPP-VIIRS夜间照明数据和公开可用的电力消耗统计数据.
开发并验证空间和时间模型用于电力消耗估计.
应用功率函数和二次多项式模型,实现高R2值 (0.9385空间,0.9706时间).

主要成果:

创建了中国 (2012-2023) 的空间化电力消费数据产品.
确定了高电力消耗地区的增加,特别是在南部的第三和第四层城市.
观察到一些传统工业城市的电力消耗下降.

结论:

开发的遥感模型有效地解决了中国缺乏空间化的电力消耗数据的问题.
时空空间分析揭示了电力消费模式的动态变化,新兴城市中心的增长.
调查结果为中国的可持续能源规划和政策制定提供了关键的见解.

关键词:

中国中国中国中国.核电站 - 维尔斯夜间灯光数据数据夜间灯光数据电力消费的空间化电力消费的空间化时间空间的变化.

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