A new rainfall Intensity-Duration threshold curve for debris flows using comprehensive rainfall intensity

被引:1
作者
Zhao, Yan [1 ]
Li, Yajun [1 ]
Zheng, Jiaoyu [1 ,2 ]
Wang, Yirui [1 ]
Meng, Xingmin [1 ]
Yue, Dongxia [2 ]
Guo, Fuyun [3 ]
Chen, Guan [1 ]
Qi, Tianjun [1 ]
Zhang, Yongjun [3 ]
机构
[1] Lanzhou Univ, Gansu Technol & Innovat Ctr Environm Geol & Geohaz, Sch Earth Sci, Gansu Geohazards Field Observat & Res Stn, Lanzhou 730000, Peoples R China
[2] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China
[3] Minist Nat Resources, Geol Environm Monitoring Inst Gansu Prov, Observat & Res Stn Geol Disaster Lanzhou, Lanzhou 730050, Peoples R China
基金
中国国家自然科学基金;
关键词
Debris flow; Rainfall threshold; Rainfall intensity; Hydrological process; SHALLOW LANDSLIDES; INITIATION; IDENTIFICATION;
D O I
10.1016/j.enggeo.2025.107949
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Rainfall plays a crucial role in triggering debris flows, and the rainfall Intensity-Duration (I-D) threshold curve is widely used in early warning systems for debris flows and landslides. However, this model has a notable limitation: it cannot differentiate between rainfall processes with different peaks when the rainfall duration and average rainfall intensity of two rain events are the same. To address this limitation, we proposed the concepts of energy rainfall intensity (Ie) and comprehensive rainfall intensity (Ic) for the first time. By combining Ie, maximum rainfall intensity (Im) and average rainfall intensity (I) in different ways, we constructed a comprehensive rainfall intensity-duration threshold curve (Ic- D). By simulating the differences in peak discharges produced by different rainfall processes using the SCS hydrological model, we explored the superiority of the new rainfall intensity parameters. This newly-developed threshold curve improves the accuracy in predicting debris flow occurrences, reducing false alarms and missed alarms by 23 % compared to a traditional I-D approach, and holds importance for improving early warning models in predicting debris flows.
引用
收藏
页数:10
相关论文
共 77 条
[1]   Using Field-Based Monitoring to Enhance the Performance of Rainfall Thresholds for Landslide Warning [J].
Abraham, Minu Treesa ;
Satyam, Neelima ;
Bulzinetti, Maria Alexandra ;
Pradhan, Biswajeet ;
Pham, Binh Thai ;
Segoni, Samuele .
WATER, 2020, 12 (12) :1-21
[2]   Assessment of post-wildfire debris flow occurrence using classifier tree [J].
Addison, Priscilla ;
Oommen, Thomas ;
Sha, Qiuying .
GEOMATICS NATURAL HAZARDS & RISK, 2019, 10 (01) :505-518
[3]   A warning system for rainfall-induced shallow failures [J].
Aleotti, P .
ENGINEERING GEOLOGY, 2004, 73 (3-4) :247-265
[4]   Early warning of rainfall-induced shallow landslides and debris flows in the USA [J].
Baum, Rex L. ;
Godt, Jonathan W. .
LANDSLIDES, 2010, 7 (03) :259-272
[5]   Rainfall control of debris-flow triggering in the Real Torrent, Southern French Prealps [J].
Bel, Coraline ;
Liebault, Frederic ;
Navratil, Oldrich ;
Eckert, Nicolas ;
Bellot, Herve ;
Fontaine, Firmin ;
Laigle, Dominique .
GEOMORPHOLOGY, 2017, 291 :17-32
[6]   Experimental evidences and numerical modelling of debris flow initiated by channel runoff [J].
Berti, M ;
Simoni, A .
LANDSLIDES, 2005, 2 (03) :171-182
[7]   Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach [J].
Berti, M. ;
Martina, M. L. V. ;
Franceschini, S. ;
Pignone, S. ;
Simoni, A. ;
Pizziolo, M. .
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE, 2012, 117
[8]   THE RAINFALL INTENSITY - DURATION CONTROL OF SHALLOW LANDSLIDES AND DEBRIS FLOWS [J].
CAINE, N .
GEOGRAFISKA ANNALER SERIES A-PHYSICAL GEOGRAPHY, 1980, 62 (1-2) :23-27
[9]  
Campbell R.H., 1975, US GEOLOGICAL SURVEY, P851
[10]   Storm rainfall conditions for floods and debris flows from recently burned areas in southwestern Colorado and southern California [J].
Cannon, Susan H. ;
Gartner, Joseph E. ;
Wilson, Raymond C. ;
Bowers, James C. ;
Laber, Jayme L. .
GEOMORPHOLOGY, 2008, 96 (3-4) :250-269