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Variations of Solar Radiation in Typical Resource Regions of China During 1961–2016

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Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13338))

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Abstract

Based on the total solar radiation, horizontal direct radiation and scattered radiation data of six typical resource regions in China from 1961 to 2016, this paper focuses on analyzing the variation trend of solar radiation by using climate tendency estimation method, cumulative anomaly method, Morlet wavelet analysis method and Mann-Kendall mutation analysis method. The results are as follows: in addition to the Zhengzhou six typical resources scattered radiation in a downward trend, basic and change rule and the plane direct radiation and total radiation change law basic similar, Kashgar, the level of the direct radiation decreases in Lhasa, Golmud trends, by contrast, the level of the direct radiation level direct radiation biggest drop in Zhengzhou. The mutation years were mainly concentrated in the 1980s and 1990s.

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Acknowledgement

This work was supported by the National Natural Science Foundation of China Study on “the Second Tibet Plateau Scientific Expedition and Research Program (STEP) under grant number 2019QZKK0804”, and “the dynamic mechanism of grassland ecosystem response to climate change in Qinghai Plateau under grant number U20A2098.”

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Authors and Affiliations

  1. School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Wenzheng Yu, Mingxuan Zhu & Aodi Fu

  2. School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Mingxuan Zhu, Li Shao, Haitao Liu & Tianliang Chen

  3. Faculty of Science, The University of Auckland, Auckland, 1010, New Zealand

    Hanxiaoya Zhang

Authors
  1. Wenzheng Yu
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  2. Mingxuan Zhu
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  4. Li Shao
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  5. Haitao Liu
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  6. Tianliang Chen
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  7. Hanxiaoya Zhang
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Corresponding author

Correspondence to Wenzheng Yu .

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Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Xiaorui Zhang

  3. Jinan University, Guangzhou, China

    Zhihua Xia

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Yu, W. et al. (2022). Variations of Solar Radiation in Typical Resource Regions of China During 1961–2016. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13338. Springer, Cham. https://doi.org/10.1007/978-3-031-06794-5_27

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  • DOI: https://doi.org/10.1007/978-3-031-06794-5_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06793-8

  • Online ISBN: 978-3-031-06794-5

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