Machine Learning Improves Debris Flow Warning

doi:10.1029/2020GL090874

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所

	Machine Learning Improves Debris Flow Warning
	Chmiel, Malgorzata 2; Walter, Fabian 2,3; Wenner, Michaela 2,3; Zhang, Zhen 1,2,4; McArdell, Brian W.3; Hibert, Clement 5
刊名	GEOPHYSICAL RESEARCH LETTERS
	2021-02-16
卷号	48 期号:3 页码:11
关键词	debris flows detection environmental seismology machine learning natural hazards
ISSN号	0094-8276
DOI	10.1029/2020GL090874
通讯作者	Chmiel, Malgorzata(chmielm@ee.ethz.ch)
英文摘要	Automatic identification of debris flow signals in continuous seismic records remains a challenge. To tackle this problem, we use machine learning, which can be applied to continuous real-time data. We show that a machine learning model based on the random forest algorithm recognizes different stages of debris flow formation and propagation at the Illgraben torrent, Switzerland, with an accuracy exceeding 90 %. In contrast to typical debris flow detection requiring instrumentation installed in the torrent, our approach provides a significant gain in warning times of tens of minutes to hours. For real-time data from 2020, our detector raises alarms for all 13 independently confirmed Illgraben events, giving no false alarms. We suggest that our seismic machine-learning detector is a critical step toward the next generation of debris-flow warning, which increases warning times using simpler instrumentation compared to existing operational systems.
资助项目	WSL ; Canton Valais ; Swiss Military
WOS研究方向	Geology
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000620058900025
资助机构	WSL ; Canton Valais ; Swiss Military
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/55942]
专题	中国科学院水利部成都山地灾害与环境研究所
通讯作者	Chmiel, Malgorzata
作者单位	1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Swiss Fed Inst Technol, Lab Hydraul Hydrol & Glaciol, Zurich, Switzerland 3.Swiss Fed Inst Forest Snow & Landscape Res, Zurich, Switzerland 4.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu, Peoples R China 5.Univ Strasbourg, EOST, Inst Phys Globe Strasbourg, Strasbourg, France
推荐引用方式 GB/T 7714	Chmiel, Malgorzata,Walter, Fabian,Wenner, Michaela,et al. Machine Learning Improves Debris Flow Warning[J]. GEOPHYSICAL RESEARCH LETTERS,2021,48(3):11.
APA	Chmiel, Malgorzata,Walter, Fabian,Wenner, Michaela,Zhang, Zhen,McArdell, Brian W.,&Hibert, Clement.(2021).Machine Learning Improves Debris Flow Warning.GEOPHYSICAL RESEARCH LETTERS,48(3),11.
MLA	Chmiel, Malgorzata,et al."Machine Learning Improves Debris Flow Warning".GEOPHYSICAL RESEARCH LETTERS 48.3(2021):11.