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Research on Rainfall Factors in Zhengzhou Based on Gray Correlation Analysis

Jianguang Xu, Canyu Guo

Abstract


Firstly,the Pearson correlation coefficients between rainfall and other meteorological indicators were calculated in
this paper,and significance tests were performed to determine whether they were correlated and the strength of the correlation.
At the same time,considering the small data samples and the existence of data errors,gray correlation analysis can be used,and
then the main effects of dew point,air temperature and wind speed on the variation of precipitation can be derived.The years
2003,2004,2016,and 2018 with high precipitation were screened out through M-K mutation test,cluster analysis based on the
characteristics of total annual precipitation and number of days of rain during the year.

Keywords


Rainfall factors; Gray correlation analysis;M-K mutation test

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References


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[2] Wu Wanqin,Qian Hong.Research on the prediction analysis of monthly precipitation in Kunming city--based on SARIMA model and Holt-Winters summation model[J].Journal of Yunnan University for Nationalities(Natural Science Edition),2021,30(04):365-370.

[3] Zhou Xiaoxu.Application of hierarchical clustering-based LSTM neural network model for precipitation prediction in Jiangsu Province[D].Shandong University,2020.

[4] Zhang Caihong.Analysis and prediction of precipitation trends in Weinan City based on ARIMA model[J].Value Engineering,2019,38(34):197-199.




DOI: http://dx.doi.org/10.18686/ahe.v6i11.4916

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