基于多元回归全球气候变化的模型分析  

Model Analysis of Global Climate Change Based on Multiple Regression

作　　者：彭润龙 张亚如 郭荣伟[1] PENG Run-long;ZHANG Ya-ru;GUO Rong-wei(School of Mathematics and Statistics,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250300,China)

机构地区：[1]齐鲁工业大学(山东省科学院)数学与统计学院,济南250300

出　　处：《齐鲁工业大学学报》2020年第4期61-68,共8页Journal of Qilu University of Technology

基　　金：山东省自然科学基金面上项目(ZR2018MF016)。

摘　　要：20世纪以来,全球气候正在发生巨大变化,全球变暖已经成为世人瞩目的全球性环境问题之一,全球变暖会对气候产生巨大的影响。本文综合分析了全球变暖的气候变化问题对全球变暖背景下海洋表面温度的规律变化,对未来25年的气候变化进行了预测,并就极端天气现象与气候变化的影响因素建立相关数学模型进行研究。综合分析了全球平均温度、降水量、海洋表面温度、CO2浓度、地球吸放热等影响气候变化的因素,并通过SPSS对上述因素进行拟合分析,得出以上因素对气候变化影响强弱的相关结论。Since the 20th century,the global climate is undergoing great changes.Global warming has become one of the global environmental problems attracting worldwide attention.Global warming will have a huge impact on the global climate.This paper makes a comprehensive analysis of the climate change of global warming.The regular changes of ocean surface temperature under the background of global warming are analyzed.The climate change in the next 25 years is predicted.The factors affecting climate change,such as global average temperature,precipitation,ocean surface temperature,CO2 concentration,earth heat absorption and emission,were comprehensively analyzed,and the above factors were fitted and analyzed by SPSS,and the relevant conclusions on the influence of the above factors on climate change were obtained.

关 键 词：全球变暖 海洋表面温度 极端天气 SPSS 多元回归分析 

分 类 号：O151.23[理学—数学]