Hazard characteristics and causes of the "7.22" 2021 debris flow in Shenshuicao gully, Qilian Mountains, NW China
文献类型：期刊论文
| 作者 | Yan, Yan2,3; Hu, Sheng4; Zhou, Kailai2; Jin, Wen1; Ma, Ning5; Zeng, Cheng2 |
| 刊名 | LANDSLIDES
 |
| 出版日期 | 2022-11-25 |
| 页码 | 15 |
| ISSN号 | 1612-510X |
| 关键词 | Debris flow Hazard characteristics Cause analysis Qilian Mountains |
| DOI | 10.1007/s10346-022-01992-7 |
| 通讯作者 | Hu, Sheng(husheng@nwu.edu.cn) |
| 英文摘要 | Debris flows are capable of rapidly mobilizing and transferring large volumes of sediment downstream, where they can cause severe damage to infrastructure and loss of life. In China, debris flow hazards are widely distributed, but mainly concentrated in the western mountainous area, which has experienced a significant increase in large debris flow occurrences in recent years because of the influence of extreme climate and earthquakes. Our study focused on the Qilian Mountains, on the NE Qinghai-Tibet Plateau, where the geological and meteorological setting provides suitable conditions for the generation of large debris flows: high altitude mountains and deep canyons, strong tectonic uplift, abundant crustal materials formed by earthquakes and weathering, extreme rainfall events, and intense freeze-thaw cycles. At 18:00 on July 22, 2021, an extreme rainstorm in SE Qilian County, China (up to 50.6 mm of precipitation in 7 h) generated a debris flow in Shenshuicao gully that was the most severe geological hazard to hit the region in 20 years. The debris flow burst out into Shenshuicao gully and destroyed two highway bridges (1-40-m prestressed reinforced concrete T-beam), causing significant economic losses, although fortunately no casualties were reported. Here, we analyzed the "7.22" debris flow using remote sensing, uncrewed aerial vehicle (UAV) surveying, on-site investigation and sampling, and laboratory analysis to better understand the predisposing and triggering factors of the debris flow. Our findings provide guidance for the prevention and control of sudden debris flow hazards in the Qilian Mountains. |
| WOS关键词 | SOUTHEASTERN TIBETAN PLATEAU ; DYNAMIC PROCESS ANALYSIS ; AUGUST 2010 ; IMPACT ; PRECIPITATION ; LANDSLIDES ; EARTHQUAKE ; PROVINCE ; ZHOUQU ; DAMAGE |
| 资助项目 | National Natural Science Foundation of China[41901008] ; National Natural Science Foundation of China[U21A2008] ; National Natural Science Foundation of China[42120104002] ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK0906] ; Fundamental Research Funds for the Project of Science and Technology Department of Sichuan Province[2020YFH0085] |
| WOS研究方向 | Engineering ; Geology |
| 语种 | 英语 |
| 出版者 | SPRINGER HEIDELBERG |
| WOS记录号 | WOS:000888689100001 |
| 资助机构 | National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP) ; Fundamental Research Funds for the Project of Science and Technology Department of Sichuan Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/187558]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Hu, Sheng |
| 作者单位 | 1.Minist Emergency Management, Natl Disaster Reduct Ctr China, Beijing 100124, Peoples R China 2.Southwest Jiaotong Univ, MOE Sch Civil Engn, Key Lab High Speed Railway Engn, Chengdu 610031, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Northwest Univ, Shaanxi Key Lab Earth Surface Syst & Environm Car, Xian 710127, Peoples R China 5.Qilian Meteorol Bur, Qilian 810499, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan, Yan,Hu, Sheng,Zhou, Kailai,et al. Hazard characteristics and causes of the "7.22" 2021 debris flow in Shenshuicao gully, Qilian Mountains, NW China[J]. LANDSLIDES,2022:15. |
| APA | Yan, Yan,Hu, Sheng,Zhou, Kailai,Jin, Wen,Ma, Ning,&Zeng, Cheng.(2022).Hazard characteristics and causes of the "7.22" 2021 debris flow in Shenshuicao gully, Qilian Mountains, NW China.LANDSLIDES,15. |
| MLA | Yan, Yan,et al."Hazard characteristics and causes of the "7.22" 2021 debris flow in Shenshuicao gully, Qilian Mountains, NW China".LANDSLIDES (2022):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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