IMHE OpenIR  > 山地灾害与地表过程重点实验室
Radar-based quantitative precipitation estimation for the identification of debris flow occurrence over earthquake-affected regions in Sichuan, China
Shi, Zhao1,2,3,5; Wei, Fangqiang1,2,3; Chandrasekar, Venkatachalam4
2018
Source PublicationNATURAL HAZARDS AND EARTH SYSTEM SCIENCES
ISSN1561-8633
Volume18Issue:3Pages:765-780
SubtypeArticle
Contribution Rank1
AbstractBoth M-s 8.0 Wenchuan earthquake on 12 May 2008 and M-s 7.0 Lushan earthquake on 20 April 2013 occurred in the province of Sichuan, China. In the earthquake-affected mountainous area, a large amount of loose material caused a high occurrence of debris flow during the rainy season. In order to evaluate the rainfall intensity-duration (I - D) threshold of the debris flow in the earthquake-affected area, and to fill up the observational gaps caused by the relatively scarce and low-altitude deployment of rain gauges in this area, raw data from two S-band China New Generation Doppler Weather Radar (CINRAD) were captured for six rainfall events that triggered 519 debris flows between 2012 and 2014. Due to the challenges of radar quantitative precipitation estimation (QPE) over mountainous areas, a series of improvement measures are considered: a hybrid scan mode, a vertical reflectivity profile (VPR) correction, a mosaic of reflectivity, a merged rainfall-reflectivity (R - Z) relationship for convective and stratiform rainfall, and rainfall bias adjustment with Kalman filter (KF). For validating rainfall accumulation over complex terrains, the study areas are divided into two kinds of regions by the height threshold of 1.5 km from the ground. Three kinds of radar rainfall estimates are compared with rain gauge measurements. It is observed that the normalized mean bias (NMB) is decreased by 39% and the fitted linear ratio between radar and rain gauge observation reaches at 0.98. Furthermore, the radar-based I - D threshold derived by the frequentist method is I = D 10.1D(-0.52) and is underestimated by uncorrected raw radar data. In order to verify the impacts on observations due to spatial variation, I - D thresholds are identified from the nearest rain gauge observations and radar observations at the rain gauge locations. It is found that both kinds of observations have similar I - D thresholds and likewise underestimate I - D thresholds due to undershooting at the core of convective rainfall. It is indicated that improvement of spatial resolution and measuring accuracy of radar observation will lead to the improvement of identifying debris flow occurrence, especially for events triggered by the strong small-scale rainfall process in the study area.
KeywordRadar-based debris flow earthquake-affected regions Sichuan, China
DOI10.5194/nhess-18-765-2018
Indexed BySCI
WOS KeywordRAINFALL THRESHOLDS ; SHALLOW LANDSLIDES ; MOUNTAINOUS REGIONS ; DURATION CONTROL ; WARNING SYSTEM ; INTENSITY ; REFLECTIVITY ; INITIATION ; ALGORITHM ; DENSITY
Language英语
Quartile3区
Funding ProjectNational Natural Science Foundation of China[41505031] ; Science and Technology Support Project of Sichuan[2015SZ0214] ; China Meteorological Bureau Meteorological Sounding Engineering Technology Research Center funding, China Scholarship Council[201508515021] ; CUIT[J201603] ; US National Science Foundation through the Hazard SEES program
TOP
WOS Research AreaGeology ; Meteorology & Atmospheric Sciences ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS IDWOS:000426914000001
Funding OrganizationNational Natural Science Foundation of China ; Science and Technology Support Project of Sichuan ; China Meteorological Bureau Meteorological Sounding Engineering Technology Research Center funding, China Scholarship Council ; CUIT ; US National Science Foundation through the Hazard SEES program
PublisherCOPERNICUS GESELLSCHAFT MBH
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/22528
Collection山地灾害与地表过程重点实验室
Corresponding AuthorShi, Zhao
Affiliation1.Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China;
2.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China;
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
4.Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80523 USA;
5.Chengdu Univ Informat & Technol, Key Lab Atmospher Sounding, Chengdu 610225, Sichuan, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
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GB/T 7714
Shi, Zhao,Wei, Fangqiang,Chandrasekar, Venkatachalam. Radar-based quantitative precipitation estimation for the identification of debris flow occurrence over earthquake-affected regions in Sichuan, China[J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES,2018,18(3):765-780.
APA Shi, Zhao,Wei, Fangqiang,&Chandrasekar, Venkatachalam.(2018).Radar-based quantitative precipitation estimation for the identification of debris flow occurrence over earthquake-affected regions in Sichuan, China.NATURAL HAZARDS AND EARTH SYSTEM SCIENCES,18(3),765-780.
MLA Shi, Zhao,et al."Radar-based quantitative precipitation estimation for the identification of debris flow occurrence over earthquake-affected regions in Sichuan, China".NATURAL HAZARDS AND EARTH SYSTEM SCIENCES 18.3(2018):765-780.
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