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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Fort Hays State University 420 Custer Drive Custer Hall 241 Hays KS and 67601 United States
出 版 物:《Procedia Computer Science》 (计算机科学会议集)
年 卷 期:2016年第91卷第0期
页 面:690-699页
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Carbon Dioxide Emissions Cloud Coverage Environmental Science
摘 要:With the observed rise in temperature, many researchers have tried to identify the causes of such climate change to help mitigate its effects. The objective of this study is to determine whether, under the same carbon dioxide (CO 2 ) concentrations, CO 2 with lower cloud coverage would raise the temperature at a greater rate than CO 2 with higher cloud coverage. The hypothesis was tested through data analysis and modeling. The relationships between the temperature and the CO 2 emissions, the temperature and the cloud coverage, and the CO 2 emissions and the cloud coverage were identified using Pearson s correlation test. The data analysis concluded that the relationship between the temperature and the CO 2 emission is positively proportional with a significant correlation. The relationship between the cloud coverage and the temperature and the relationship between the CO 2 emissions and the cloud coverage were determined to be negatively proportional with significant correlations. For modeling, the temperature increased more rapidly as cloud coverage shrank. The results supported the hypothesis that the cloud coverage mitigates warming effects created by carbon dioxide emissions. Further research is anticipated to reduce the uncertainties in the data along with specification of cloud types.