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Quantitative Analysis of Extreme Rainfall

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DOI: 10.23977/erej.2021.050405 | Downloads: 2 | Views: 168


Bingshu Li 1, Shixu Wang 1, Junjie Zhao 1, Xufei Wang 1, Yuzhi Wang 1


1 Shandong University of Science and Technology, Tai’an, 271000, China

Corresponding Author

Bingshu Li


This paper takes the year and the average value as important indicators and establish a multiple regression model of the year and each meteorological index. Taking the number of days in Zhengzhou in 2021 as an indicator, a multiple regression model of the number of days is established. Finally, it is concluded that the annual precipitation characteristics of Zhengzhou area are mainly related to the 12 indicators of FRSHTT, GUST, MAX, MIN, MXSPD, PRCP, SLP, SNDP, STP, TEMP, VISIB, and WDSP; FRSHTT, GUST, MAX, MIN Changes in indicators such as MXSPD, PRCP, SLP, SNDP, STP, TEMP, VISIB, and WDSP will directly affect the magnitude of precipitation in Zhengzhou; the five years with more precipitation are 1996, 1997, 2000, 1998 and 1999; In 2021 the more relevant indicators of inundation events in the region in Zhengzhou are PRCP, VISIB, and WDSP.


Average value, multiple regression model, meteorological, precipitation


Bingshu Li, Shixu Wang, Junjie Zhao, Xufei Wang, Yuzhi Wang, Quantitative Analysis of Extreme Rainfall. Environment, Resource and Ecology Journal (2021) 5: 27-30. DOI:


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