Evaluating effectiveness of mitigation measures for large debris flows in Wenchuan, China

泥石流 碎片 环境科学 山崩 沉积(地质) 自然灾害 高原(数学) 比例(比率) 水文学(农业) 地质学 岩土工程 地理 地貌学 沉积物 数学分析 海洋学 地图学 数学
作者
Jian He,Limin Zhang,Ruilin Fan,Shengyang Zhou,Hongyu Luo,Dalei Peng
出处
期刊:Landslides [Springer Nature]
卷期号:19 (4): 913-928 被引量:17
标识
DOI:10.1007/s10346-021-01809-z
摘要

To cope with frequent debris flow hazards, many cascade check dams and diversion channels have been adopted in Wenchuan, Sichuan, China, on the eastern margin of the Tibetan plateau. Yet severe damage to local infrastructure still occurred upon large-scale debris flows, and the most common cascading effect of debris flows, river blockage, is often overlooked in conventional mitigation design. This study aims to investigate the effectiveness of mitigation measures against the large-scale debris flows on 20 August 2019 considering both the direct impact of debris flows and the cascading effect and to propose a numerical scheme to simulate serial check dams in a two-dimensional debris flow simulation model. Numerical simulation is conducted to reproduce the debris flow process and the cascading effect and to evaluate the effectiveness of improved mitigation measures. According to field investigations and the numerical analysis, all check dams in the study area were filled, indicating that the existing mitigation measures were inadequate. Simulation results further suggest that serial check dams are effective in reducing downstream deposition and the size of river debris barriers upon large debris flows. In some cases, risks induced by the cascading effect remain high even after check dams have been constructed, suggesting the need for additional mitigation measures. This study contributes to a robust design of debris flow mitigation measures against large-scale debris flows.

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
柯彦完成签到 ,获得积分10
1秒前
孤独含蕾完成签到,获得积分10
2秒前
zlzlzl发布了新的文献求助10
2秒前
Coco完成签到,获得积分10
2秒前
3秒前
Hyp发布了新的文献求助10
4秒前
yaya完成签到,获得积分10
4秒前
4秒前
5秒前
bkagyin应助sher采纳,获得10
6秒前
7秒前
孙敬涵发布了新的文献求助10
9秒前
10秒前
10秒前
无极微光应助锦鲤大王采纳,获得20
12秒前
木林森发布了新的文献求助10
12秒前
12秒前
14秒前
16秒前
无极微光应助无情的傲玉采纳,获得20
17秒前
Lyeming完成签到,获得积分10
17秒前
18秒前
爆米花应助wang采纳,获得10
18秒前
小格发布了新的文献求助10
18秒前
Huanghong完成签到,获得积分10
18秒前
可靠小懒虫完成签到,获得积分10
18秒前
Ran完成签到 ,获得积分10
19秒前
豆豆发布了新的文献求助10
19秒前
19秒前
你好完成签到,获得积分10
19秒前
aaaa发布了新的文献求助10
21秒前
22秒前
长至发布了新的文献求助10
24秒前
不想起昵称完成签到 ,获得积分10
24秒前
危险份子完成签到,获得积分10
25秒前
温柔元风发布了新的文献求助10
25秒前
26秒前
慕青应助不太入门的脑筋采纳,获得10
26秒前
DAY完成签到 ,获得积分10
27秒前
Epicat发布了新的文献求助10
27秒前
高分求助中
(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
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
VASCULITIS(血管炎)Rheumatic Disease Clinics (Clinics Review Articles) —— 《风湿病临床》(临床综述文章) 1000
Feldspar inclusion dating of ceramics and burnt stones 1000
What is the Future of Psychotherapy in a Digital Age? 801
The Psychological Quest for Meaning 800
Digital and Social Media Marketing 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5977003
求助须知:如何正确求助?哪些是违规求助? 7335589
关于积分的说明 16009095
捐赠科研通 5116513
什么是DOI,文献DOI怎么找? 2746558
邀请新用户注册赠送积分活动 1714799
关于科研通互助平台的介绍 1623747