IMHE OpenIR  > 山地灾害与地表过程重点实验室
debrisflowwarningthresholdbasedonantecedentrainfallacasestudyinjiangjiaravineyunnanchina
Guo Xiaojun; Cui Peng; Li Yong
2013
Source Publicationjournalofmountainscience
ISSN1672-6316
Volume10Issue:2Pages:305
AbstractDebris flows in Jiangjia Ravine in Yunnan province,China are not only triggered by intense storms but also by short-duration and low-intensity rainfalls.This reflects the significance of antecedent rainfall.This paper tries to find the debris flowtriggering threshold by considering antecedent rainfall through a case study in Jiangjia Ravine.From 23 debris flow events,the I-D(Intensity-Duration) threshold was found,which is very close to the line of 95th percentile regression line of rainfall events,representing that 95% of rainfalls can potentially induce debris flows and reflects the limitation of I-D threshold application in this area.Taking into account the effect of antecedent rainfall,the debris flowtriggering threshold for rainfall quantity and intensity is statistically and empirically derived.The relationships can be used in debris flow warning system as key thresholds.Coupling with the rainfall characteristics in this area,new thresholds are proposed as triggering and warning thresholds.
Language英语
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/31906
Collection山地灾害与地表过程重点实验室
Affiliation中国科学院成都山地灾害与环境研究所
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Guo Xiaojun,Cui Peng,Li Yong. debrisflowwarningthresholdbasedonantecedentrainfallacasestudyinjiangjiaravineyunnanchina[J]. journalofmountainscience,2013,10(2):305.
APA Guo Xiaojun,Cui Peng,&Li Yong.(2013).debrisflowwarningthresholdbasedonantecedentrainfallacasestudyinjiangjiaravineyunnanchina.journalofmountainscience,10(2),305.
MLA Guo Xiaojun,et al."debrisflowwarningthresholdbasedonantecedentrainfallacasestudyinjiangjiaravineyunnanchina".journalofmountainscience 10.2(2013):305.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Guo Xiaojun]'s Articles
[Cui Peng]'s Articles
[Li Yong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Guo Xiaojun]'s Articles
[Cui Peng]'s Articles
[Li Yong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Guo Xiaojun]'s Articles
[Cui Peng]'s Articles
[Li Yong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.