| 侯惠清,欧阳自根,张杰,陶治华.基于小波分析的加拿大地区温度的时空变化趋势研究[J].南华大学学报(自然科学版),2021,(2):70~78.[HOU Huiqing,OUYANG Zigen,ZHANG Jie,TAO Zhihua.Research on Temporal and Spatial Variation Trend of Temperature in Canada Based on Wavelet Analysis[J].Journal of University of South China(Science and Technology),2021,(2):70~78.] |
| 基于小波分析的加拿大地区温度的时空变化趋势研究 |
| Research on Temporal and Spatial Variation Trend of Temperature in Canada Based on Wavelet Analysis |
| 投稿时间：2020-07-27 |
| DOI：10. 19431/ j. cnki. 1673-0062. 2021. 02. 010 |
| 中文关键词: 小波分析 加拿大温度 时空气候 波动式缓慢上升 |
| 英文关键词:wavelet analysis Canada temperature temporal and spatial climate slow volatility rising |
| 基金项目:湖南省自然科学基金项目(2019JJ40240) |
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| 中文摘要: |
| 对加拿大地区温度的时空变化趋势进行了研究,利用泰森多边形法将加拿大各地天气变化的历史数据预处理后转化为各地区温度数据,数值拟合后得出平均温度变化图,基于小波分析得到加拿大地区的时空气候呈波动缓慢上升趋势,同时发现海洋表面温度亦呈波动式上升,但每次涨幅不会超过1 ℃。 |
| 英文摘要: |
| This paper studies the temporal and spatial variation trend of temperature in Canada based on wavelet analysis. It uses the Tyson polygon method to preprocess the historical data of weather changes in various parts of Canada and converts them into temperature data in various regions. After numerical fitting, the average temperature change map is obtained. Using wavelet analysis, it is obtained that the temporal and spatial climate in Canada shows a slow rising trend of fluctuation. At the same time, it was found that the temperature of the ocean surface also rose in a fluctuating manner, but each increase did not exceed 1 ℃. |
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