清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Scientific challenges in disaster risk reduction for the Sichuan–Tibet Railway

中国 环境规划 高原(数学) 工作(物理) 瓶颈 地理 风险分析(工程) 环境资源管理 工程类 环境科学 业务 运营管理 数学 机械工程 数学分析 考古
作者
Peng Cui,Yonggang Ge,Shaojun Li,Zhenhong Li,Xiwei Xu,Gordon G.D. Zhou,Huayong Chen,Hao Wang,Lei Yu,Libo Zhou,Shujian Yi,Chunhao Wu,Jian Guo,Qi Wang,Hengxing Lan,Mingtao Ding,Junjie Ren,Lu Zeng,Yuanjun Jiang,Yan Wang
出处
期刊:Engineering Geology [Elsevier BV]
卷期号:309: 106837-106837 被引量:218
标识
DOI:10.1016/j.enggeo.2022.106837
摘要

Traversing the Qinghai–Tibetan Plateau, the Sichuan–Tibet Railway is by far the most difficult railway project in the world. The Qinghai–Tibetan Plateau features the most active crustal dynamics on earth, the strongest coupling effects of endogenic and exogenic dynamics, and the environment most sensitive to global climate change. The project area is characterized by extremely cold climate, high elevation and relief, high seismic intensity, high geothermal activity, and high tectonic stress. Consequently, the threat of various disaster risks is ever-present at different stages of the entire life cycle of the Sichuan–Tibet Railway. There is urgent need to systematically study these problems at various levels from the fundamental science to the development of key technologies. This article investigates the different disaster risks recognized during the various stages of construction of the Sichuan–Tibet Railway project, and summarizes the scientific challenges and technical problems faced in relation to disaster risk prevention and control. This work also introduces the scientific deployment and relevant research progress of the Sichuan–Tibet Fund special project initiated by the National Natural Science Foundation of China. Here, we also aim to solve the major fundamental scientific challenges in terms of long-term risk prevention and control during the construction of the Sichuan–Tibet Railway, and lay a theoretical foundation to promote breakthroughs in the bottleneck of key technologies. The scientific challenges addressed in the study of disaster risk associated with the Sichuan–Tibet Railway include the following: The quantitative assessment of the activity of deep-large faults and strong earthquake prediction, the evolution of physical fields in areas of strong tectonic activity, the development mechanisms of tunnel hazards, the slope evolution processes under coupled endogenic and exogenic dynamics in alpine gorges, the impact of climate change on the formation and evolution of surface hazards, and the evolution of extreme wind fields in deep-cut canyons. The technical problems faced in disaster risk prevention and mitigation in relation to the Sichuan–Tibet Railway are as follows: Advanced identification, monitoring, and early warning of geological disasters in mountainous areas with steep and complex terrain; risk analysis, prevention, and control of railway engineering disasters based on their dynamic processes; tunnel engineering hazard monitoring, early warning, risk analysis, prevention, and control technologies; key technologies for emergency response; and the green and resilient railway system and lifecycle risk management. The Sichuan–Tibet Fund special project will include five key research topics: (1) the interior geological structure and dynamic evolution of the eastern plateau; (2) the hazard-inducing mechanisms of coupled internal and external forces in canyons and gullies within plateaus; (3) the cataclysm mechanics of deeply buried long-distance tunnel engineering; (4) risk identification and projection of major disasters affecting the railway; and (5) the integrated management of scientific innovations and super large-scale railway construction. Systematic research is expected to reveal the evolution of earth surface movements and coupled engineering-disturbance related disasters. It will also enable the formation of a comprehensive risk analysis method for major engineering disasters, and promote the development of green, safe, efficient, and resilient engineering disaster risk reduction technologies that will support the disaster risk management during the entire lifecycle of the Sichuan–Tibet Railway.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
魔幻雪兰完成签到,获得积分10
2秒前
琦琦完成签到,获得积分10
9秒前
Kair完成签到 ,获得积分10
12秒前
断了的弦完成签到,获得积分10
18秒前
络梦摘星辰完成签到 ,获得积分10
26秒前
鸡鸡大魔王完成签到,获得积分10
30秒前
45度科研狗完成签到 ,获得积分10
46秒前
时尚靖琪完成签到,获得积分10
1分钟前
cdercder应助顺心惜文采纳,获得10
1分钟前
1分钟前
杨杨完成签到,获得积分10
1分钟前
pups发布了新的文献求助10
1分钟前
1分钟前
今夕何夕完成签到,获得积分20
1分钟前
Jasper应助今夕何夕采纳,获得10
2分钟前
无语的羞花完成签到,获得积分10
2分钟前
宋相甫发布了新的文献求助20
2分钟前
Ivy完成签到,获得积分10
2分钟前
宋相甫完成签到,获得积分10
2分钟前
爱听歌的雁风完成签到,获得积分10
2分钟前
寒冷的月亮完成签到 ,获得积分10
2分钟前
tlh完成签到 ,获得积分10
2分钟前
直率的宛丝完成签到,获得积分10
3分钟前
时的大山应助清风明月采纳,获得10
3分钟前
领导范儿应助科研通管家采纳,获得10
3分钟前
姬鲁宁完成签到 ,获得积分10
3分钟前
快乐的文博完成签到,获得积分10
3分钟前
boymin2015完成签到 ,获得积分10
3分钟前
欧阳懿完成签到 ,获得积分10
4分钟前
明亮的小兔子完成签到 ,获得积分10
4分钟前
快乐的问旋完成签到,获得积分10
4分钟前
忧心的藏鸟完成签到 ,获得积分10
4分钟前
大力的美女完成签到,获得积分10
4分钟前
仁爱的鞋子完成签到,获得积分10
5分钟前
欣喜烙完成签到 ,获得积分10
5分钟前
5分钟前
白白不喽完成签到 ,获得积分10
5分钟前
赵绵绵发布了新的文献求助10
5分钟前
动人的又菡完成签到,获得积分10
5分钟前
美丽的芷完成签到,获得积分10
5分钟前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Understanding Octavia Butler 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7565310
求助须知:如何正确求助?哪些是违规求助? 9145535
关于积分的说明 19554308
捐赠科研通 7151913
什么是DOI,文献DOI怎么找? 3262510
关于科研通互助平台的介绍 2428780
邀请新用户注册赠送积分活动 2252348