IMHE OpenIR  > 山地灾害与地表过程重点实验室
Statistical and probabilistic analyses of impact pressure and discharge of debris flow from 139 events during 1961 and 2000 at Jiangjia Ravine, China
Hong, Y.1; Wang, J. P.2; Li, D. Q.3; Cao, Z. J.3; Ng, C. W. W.2; Cui, P.4
Corresponding AuthorCao, Z. J.
2015-03-17
Source PublicationENGINEERING GEOLOGY
ISSN0013-7952
Volume187Pages:122-134
SubtypeArticle
AbstractDebris flows often cause catastrophic damage to communities in the downstream area, by direct impact and deposition. Theoretical predictions of impact pressure and volume of discharge, however, still remain very challenging, mainly due to inadequate understanding of the complex problems and limited field data at the local scale. In this study, the maximum impact pressure (P-max) and total discharge (Q(total)) of 139 debris flow events that occurred during 1961 and 2000 in the "debris museum" of China (i.e., the Jiangjia Ravine) are reported and interpreted with statistical tests and probabilistic analyses. Four common probabilistic models (Normal, Lognormal, Weibull and Gamma distributions) are used to simulate the distributions of P-max and Q(total). The level of fitting of each model is assessed by performing two quantity-based statistic goodness-of-fit tests (Chi-square and Kolmogorov-Smirnov tests). The field data show that during the period from 1961 to 2000, the maximum values of P-max and Q(total) are 744 kPa and 1,751,537 m(3), respectively. It is suggested by the goodness-of-fit tests that the Weibull distribution is the only model (among the four probabilistic models) that is able to capture the distributions of P-max and Q(total) of both surge and continuous flows. Using the verified Weibull distributions and Gaussian copula approach, univariate and bivariate exceedance probability charts considering P-max and Q(total) are developed. Regression models between P-max and Q(total) are also established. (C) 2014 Elsevier B.V. All rights reserved.
KeywordStatistical And Probabilistic Analyses Gaussian Copula Approach Debris Flow Field Data Impact Pressure Discharge
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
DOI10.1016/j.enggeo.2014.12.011
URL查看原文
WOS Subject ExtendedEngineering ; Geology
Indexed BySCI
WOS KeywordRELIABILITY-ANALYSIS ; SLOPE RELIABILITY ; INFORMATION
Language英语
WOS SubjectEngineering, Geological ; Geosciences, Multidisciplinary
WOS IDWOS:000351649600011
Funding OrganizationNational Science Fund for Distinguished Young Scholars of China(51225903) ; National Natural Science Foundation of China(51409196 ; Research Grants Council of the HKSAR(HKUST6/CRF/12R) ; Hong Kong University of Science and Technology(DAG12EGO3S-CIVL) ; 51329901)
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Cited Times:30[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/9595
Collection山地灾害与地表过程重点实验室
Affiliation1.Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou 310003, Zhejiang, Peoples R China
2.Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China
3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Sch Water Resources & Hydropower Engn, Wuhan 430072, Peoples R China
4.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu, Peoples R China
Recommended Citation
GB/T 7714
Hong, Y.,Wang, J. P.,Li, D. Q.,et al. Statistical and probabilistic analyses of impact pressure and discharge of debris flow from 139 events during 1961 and 2000 at Jiangjia Ravine, China[J]. ENGINEERING GEOLOGY,2015,187:122-134.
APA Hong, Y.,Wang, J. P.,Li, D. Q.,Cao, Z. J.,Ng, C. W. W.,&Cui, P..(2015).Statistical and probabilistic analyses of impact pressure and discharge of debris flow from 139 events during 1961 and 2000 at Jiangjia Ravine, China.ENGINEERING GEOLOGY,187,122-134.
MLA Hong, Y.,et al."Statistical and probabilistic analyses of impact pressure and discharge of debris flow from 139 events during 1961 and 2000 at Jiangjia Ravine, China".ENGINEERING GEOLOGY 187(2015):122-134.
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