中国古代流行病发生与太阳活动的相关性分析。

IF 6 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Si Chen, Yong Wei, Xin'an Yue, Kaihua Xu, Mingkun Li, Wei Lin
{"title":"中国古代流行病发生与太阳活动的相关性分析。","authors":"Si Chen,&nbsp;Yong Wei,&nbsp;Xin'an Yue,&nbsp;Kaihua Xu,&nbsp;Mingkun Li,&nbsp;Wei Lin","doi":"10.1007/s11430-022-9986-5","DOIUrl":null,"url":null,"abstract":"<p><p>As the globe has witnessed the pandemic, epidemic diseases exert a strong impact on human beings and ecosystems. Since the Sun is the primary energy source of the Earth, some scientific pioneers attempted to search for the discernible relation between solar activity and the incidence of epidemics. In this study, the periodic changes and trends of ancient Chinese epidemic data were analyzed in comparison with those of sunspot numbers, a solar activity proxy. The results show that the epidemic and solar activity changes are in good agreement to a certain extent, especially during the Gleissberg and the de Vries cycles. The wavelet coherence shows that the frequency of the epidemic data and sunspot numbers are highly associated. In addition, results from the ensemble empirical mode decomposition illustrate consistent variations in low-frequency decompositions. This study has important implications for further understanding of the potential impact of solar activity on Earth's biosphere, the underlying mechanism of which needs further exploration.</p>","PeriodicalId":21651,"journal":{"name":"Science China Earth Sciences","volume":"66 1","pages":"161-168"},"PeriodicalIF":6.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782271/pdf/","citationCount":"1","resultStr":"{\"title\":\"Correlation analysis between the occurrence of epidemic in ancient China and solar activity.\",\"authors\":\"Si Chen,&nbsp;Yong Wei,&nbsp;Xin'an Yue,&nbsp;Kaihua Xu,&nbsp;Mingkun Li,&nbsp;Wei Lin\",\"doi\":\"10.1007/s11430-022-9986-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>As the globe has witnessed the pandemic, epidemic diseases exert a strong impact on human beings and ecosystems. Since the Sun is the primary energy source of the Earth, some scientific pioneers attempted to search for the discernible relation between solar activity and the incidence of epidemics. In this study, the periodic changes and trends of ancient Chinese epidemic data were analyzed in comparison with those of sunspot numbers, a solar activity proxy. The results show that the epidemic and solar activity changes are in good agreement to a certain extent, especially during the Gleissberg and the de Vries cycles. The wavelet coherence shows that the frequency of the epidemic data and sunspot numbers are highly associated. In addition, results from the ensemble empirical mode decomposition illustrate consistent variations in low-frequency decompositions. This study has important implications for further understanding of the potential impact of solar activity on Earth's biosphere, the underlying mechanism of which needs further exploration.</p>\",\"PeriodicalId\":21651,\"journal\":{\"name\":\"Science China Earth Sciences\",\"volume\":\"66 1\",\"pages\":\"161-168\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782271/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science China Earth Sciences\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1007/s11430-022-9986-5\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science China Earth Sciences","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s11430-022-9986-5","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1

摘要

在全球范围内,流行病对人类和生态系统产生了强烈影响。由于太阳是地球的主要能源,一些科学先驱试图寻找太阳活动与流行病发病率之间的明显关系。本文分析了中国古代流行病资料的周期变化和趋势,并与太阳黑子数(太阳活动的一个指标)进行了比较。结果表明,流行与太阳活动的变化在一定程度上是一致的,特别是在Gleissberg和de Vries周期。小波相干性表明,流行数据的频率与太阳黑子数高度相关。此外,集合经验模态分解的结果显示低频分解的一致变化。这项研究对进一步了解太阳活动对地球生物圈的潜在影响具有重要意义,其潜在机制有待进一步探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation analysis between the occurrence of epidemic in ancient China and solar activity.

As the globe has witnessed the pandemic, epidemic diseases exert a strong impact on human beings and ecosystems. Since the Sun is the primary energy source of the Earth, some scientific pioneers attempted to search for the discernible relation between solar activity and the incidence of epidemics. In this study, the periodic changes and trends of ancient Chinese epidemic data were analyzed in comparison with those of sunspot numbers, a solar activity proxy. The results show that the epidemic and solar activity changes are in good agreement to a certain extent, especially during the Gleissberg and the de Vries cycles. The wavelet coherence shows that the frequency of the epidemic data and sunspot numbers are highly associated. In addition, results from the ensemble empirical mode decomposition illustrate consistent variations in low-frequency decompositions. This study has important implications for further understanding of the potential impact of solar activity on Earth's biosphere, the underlying mechanism of which needs further exploration.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Science China Earth Sciences
Science China Earth Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
9.60
自引率
5.30%
发文量
135
审稿时长
3-8 weeks
期刊介绍: Science China Earth Sciences, an academic journal cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China, and published by Science China Press, is committed to publishing high-quality, original results in both basic and applied research.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信