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2016年至2020年中国地表太阳辐射分量的变化:基于高时空分辨率地球静止卫星观测的视角

Variation of surface solar radiation components from 2016 to 2020 in China: Perspective from geostationary satellite observation with a high spatiotemporal resolution.

作者信息

Li Ao, Shi Chong, Yin Shuai, Li Nan, Letu Husi, Shi Guangyu

机构信息

Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China.

出版信息

Sci Total Environ. 2024 Dec 1;954:176264. doi: 10.1016/j.scitotenv.2024.176264. Epub 2024 Sep 14.

Abstract

At present, traditional satellite datasets still grapple with inadequacies in terms of capturing solar radiation with fine spatiotemporal granularity. This study utilizes the high spatiotemporal resolution of CARE data, which is developed based on geostationary satellite observations, and employs multivariate analysis techniques to conduct an in-depth investigation into the multidimensional spatiotemporal variations of different types of solar radiation across various regions in China from 2016 to 2020. In addition, the potential of solar energy resources was also assessed using cluster analysis method. The results revealed an upward trend in different components of solar radiation across most of China, with shortwave radiation exhibiting a significantly negative correlation with PM concentrations (R = -0.91, p < 0.05). This finding suggests that the increase in SWR may be attributed to the effective implementation of China's Air Pollution Prevention and Control Action Plan. It suggests that China's endeavors to mitigate air pollution have not only resulted in improvements in national air quality but have also had an indirect positive effect on enhancing the potential for photovoltaic power generation. The assessment of solar energy resources potential indicated, with 99 % statistical confidence, that western China constitutes the core region for solar energy resources development, whereas northeastern and southeastern regions face certain constraints in solar energy resources utilization. Furthermore, we examined the specific influence of atmospheric circulation patterns on solar energy resources, uncovering that the El Niño phenomenon, by altering cloud distribution and variability, indirectly affects solar radiation intensity in specific regions. This study aids in understanding China's solar radiation variations, crucial for shaping effective energy policies towards carbon neutrality.

摘要

目前,传统卫星数据集在以精细的时空粒度捕捉太阳辐射方面仍存在不足。本研究利用基于地球静止卫星观测开发的CARE数据的高时空分辨率,并采用多变量分析技术,对2016年至2020年中国不同地区不同类型太阳辐射的多维时空变化进行深入研究。此外,还使用聚类分析方法评估了太阳能资源潜力。结果显示,中国大部分地区太阳辐射的不同组成部分呈上升趋势,短波辐射与PM浓度呈显著负相关(R = -0.91,p < 0.05)。这一发现表明,短波辐射的增加可能归因于中国《大气污染防治行动计划》的有效实施。这表明中国在减轻空气污染方面的努力不仅改善了全国空气质量,还对提高光伏发电潜力产生了间接的积极影响。太阳能资源潜力评估表明,在99%的统计置信度下,中国西部是太阳能资源开发的核心区域,而东北地区和东南地区在太阳能资源利用方面面临一定限制。此外,我们研究了大气环流模式对太阳能资源的具体影响,发现厄尔尼诺现象通过改变云的分布和变化,间接影响特定区域的太阳辐射强度。本研究有助于了解中国的太阳辐射变化,这对于制定有效的碳中和能源政策至关重要。

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