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
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| 出版日期 | 2026-03-04 |
| 卷号 | 12期号:10页码:eaeb1598 |
| DOI | 10.1126/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. |
| URL标识 | 查看原文 |
| 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 |
| 推荐引用方式 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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