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Academic Journal of Environment & Earth Science, 2022, 4(8); doi: 10.25236/AJEE.2022.040807.

Analysing the characteristics of precipitation variation in Hefei in recent years based on multiple linear regression


Pan Chunhua

Corresponding Author:
Pan Chunhua

College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, China


Based on the multiple linear regression model, the precipitation change characteristics of Hefei from 2009 to 2019 are analyzed, and the long-term precipitation data show that the annual precipitation in northwest China, Jianghuai and eastern coast of China is increasing, and the annual precipitation in North China and central China is decreasing, and the precipitation change between regions is obviously different. In recent decades, extreme precipitation events have shown a frequent trend in China, especially in the northwest and southeast coasts and the middle and lower reaches of the Yangtze River, which not only increases the frequency of extreme precipitation but also increases the intensity of precipitation. In this context, the characteristics of precipitation change in Hefei from 2009 to 2019 were studied, and the results showed that the change of precipitation in Hefei was related to the minimum temperature and year. The change of precipitation is obvious, there is an interannual and interdecadal variation law of fluctuation change, the fluctuation amplitude increases, the uncertainty of precipitation increases, and the lowest temperature has a negative correlation with the annual precipitation, that is, the lower the lowest temperature, the greater the precipitation, which is consistent with the change trend of precipitation in the entire Jianghuai River Basin. In order to provide reference for meteorological research and the prevention of meteorological disasters.


Multiple linear regression model, SPSS, Precipitation, Hefei City

Cite This Paper

Pan Chunhua. Analysing the characteristics of precipitation variation in Hefei in recent years based on multiple linear regression. Academic Journal of Environment & Earth Science (2022) Vol. 4 Issue 8: 35-40. https://doi.org/10.25236/AJEE.2022.040807.


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