中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Archeological data with AI- and physics-based modeling explain typhoon-induced disasters in inland China around 3000 yr BP

文献类型:期刊论文

作者Ding, Ke2; Li, Siyang1,3; Ding, Aijun2,4,5; Lu, Houyuan6; Zhang, Jianping6; Xi, Dazhi7; Huang, Xin2,4,5; Lou, Sijia2,4; Tang, Xiaodong2; Qiu, Xin2
刊名SCIENCE ADVANCES
出版日期2026-03-04
卷号12期号:10页码:eaeb1598
DOI10.1126/sciadv.aeb1598
产权排序2
文献子类Article
英文摘要Climate change-related extreme events during the mid-late Holocene, especially around 3000 years before the present (yr B.P.), severely threatened human survival and cultural development at various locations. However, although marked social change during this period in China have also been reported to coincide with extreme disasters, the causes and impacts of these events remain unclear. Here, we aligned paleoclimate reconstructions with quantitative analyses of archeological evidence, including oracle bone scripts, together with artificial intelligence- and physics-based model simulations to uncover the causes. We found that intensified typhoon activities exerted considerable impacts on climate extremes and social change in inland China around 3000 yr B.P. These findings underscore the urgent need to improve preparedness for today's typhoon-induced disasters in the context of accelerating climate change.
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WOS关键词TROPICAL CYCLONE ACTIVITY ; EL-NINO ; EXTREME RAINFALL ; HOLOCENE ; PRECIPITATION ; VARIABILITY ; LINKAGE ; RECORDS ; EVENTS ; TEMPERATURES
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:001706341500006
出版者AMER ASSOC ADVANCEMENT SCIENCE
源URL[http://ir.igsnrr.ac.cn/handle/311030/221316]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Ge, Quansheng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
2.Nanjing Univ, Sch Atmospher Sci, State Key Lab Severe Weather Meteorol Sci & Techno, Nanjing 210023, Peoples R China;
3.Nanjing Univ, Sch Hist, Nanjing 210023, Peoples R China;
4.Jiangsu Prov Innovat Ctr Climate Change, Nanjing 210023, Peoples R China;
5.Nanjing Univ, Frontiers Sci Ctr Crit Earth Mat Cycling, Nanjing 210023, Peoples R China;
6.Chinese Acad Sci, Inst Geol & Geophys, State Key Lab Lithospher & Environm Coevolut, Beijing 100029, Peoples R China;
7.Univ Hong Kong, Dept Earth Sci, Hong Kong 999077, Peoples R China
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GB/T 7714
Ding, Ke,Li, Siyang,Ding, Aijun,et al. Archeological data with AI- and physics-based modeling explain typhoon-induced disasters in inland China around 3000 yr BP[J]. SCIENCE ADVANCES,2026,12(10):eaeb1598.
APA Ding, Ke.,Li, Siyang.,Ding, Aijun.,Lu, Houyuan.,Zhang, Jianping.,...&Ge, Quansheng.(2026).Archeological data with AI- and physics-based modeling explain typhoon-induced disasters in inland China around 3000 yr BP.SCIENCE ADVANCES,12(10),eaeb1598.
MLA Ding, Ke,et al."Archeological data with AI- and physics-based modeling explain typhoon-induced disasters in inland China around 3000 yr BP".SCIENCE ADVANCES 12.10(2026):eaeb1598.

入库方式: OAI收割

来源:地理科学与资源研究所

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