Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)
Series Vol. 5 , 25 May 2023
Open
Access | Article
Research on Temperature Changing Rules of Some Major Cities (Shanghai, Guangzhou and Beijing) in China from 2015 to 2020
* Author to whom correspondence should be addressed.
Abstract
Nowadays, China is experiencing extreme heat wave weather this year. Currently, domestic citizens are suffering from the excessive hot weather and have no idea how to protect themselves efficiently from getting illness or having heat stroke. Therefore, we have a research on temperature change rules in some major cities (Shanghai, Guangzhou and Beijing) in China from 2015 to 2020. We collect and obverse several temperature data of Beijing, Shanghai and Guangzhou to see if there are upward or downward trends in temperature. We attempt to understand how temperatures have changed over time in these cities in China and how these trends can help forecast future temperatures. This research can help people know the probable temperature changing trends in the three cities in the next few years and take some precautions in advance.
Keywords
Temperature changing trend, Beijing, Shanghai, Guangzhou, from 2015 to 2020, linear regression model, linear fitting, OSL table.
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)
- ISBN (Print)
- 978-1-915371-53-9
- ISBN (Online)
- 978-1-915371-54-6
- Published Date
- 25 May 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/5/20230346
- Copyright
- © 2023 The Author(s)
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited