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Spatiotemporal clustering of flash floods in a changing climate (China, 1950-2015)
Wang, Nan1,2; Lombardo, Luigi3; Tonini, Marj4; Cheng, Weiming1,2,5,6; Guo, Liang7,8; Xiong, Junnan1,9
2021-07-13
Source PublicationNATURAL HAZARDS AND EARTH SYSTEM SCIENCES
ISSN1561-8633
Volume21Issue:7Pages:2109-2124
Corresponding AuthorCheng, Weiming(chengwm@lreis.ac.cn)
AbstractThe persistence over space and time of flash flood disasters - flash floods that have caused either economical losses or loss of life or both - is a diagnostic measure of areas subjected to hydrological risk. The concept of persistence can be assessed via clustering analyses, performed here to analyze the national inventory of flash flood disasters in China that occurred in the period 1950-2015. Specifically, we investigated the spatiotemporal pattern distribution of the flash flood disasters and their clustering behavior by using both global and local methods: the first based on Ripley's K function, and the second on scan statistics. As a result, we could visualize patterns of aggregated events, estimate the cluster duration and make assumptions about their evolution over time, also with respect to the precipitation trend. Due to the large spatial (the whole Chinese territory) and temporal (66 years) scale of the dataset, we were able to capture whether certain clusters gather in specific locations and times but also whether their magnitude tends to increase or decrease. Overall, the eastern regions in China are much more subjected to flash flood disasters compared to the rest of the country. Detected clusters revealed that these phenomena predominantly occur between July and October, a period coinciding with the wet season in China. The number of detected clusters increases with time, but the associated duration drastically decreases in the recent period. This may indicate a change towards triggering mechanisms which are typical of short-duration extreme rainfall events. Finally, being flash flood disasters directly linked to precipitation and their extreme realization, we indirectly assessed whether the magnitude of the trigger itself has also varied through space and time, enabling considerations in the context of climatic change.
DOI10.5194/nhess-21-2109-2021
WOS KeywordTROPICAL CYCLONES ; RISK-MANAGEMENT ; DRIVING FACTORS ; RIVER-BASIN ; EVENTS ; SUSCEPTIBILITY ; FREQUENCY ; RAINFALL ; INDEXES ; METHODOLOGY
Indexed BySCI
Language英语
Funding ProjectScience and Technology Project of Xizang Autonomous Region[XZ201901-GA-07] ; China National Flash Flood Disasters Prevention and Control project[SHZH-IWHR-57] ; Science and Technology Development Plan of Jilin Province[20190103151JH]
Funding OrganizationScience and Technology Project of Xizang Autonomous Region ; China National Flash Flood Disasters Prevention and Control project ; Science and Technology Development Plan of Jilin Province
WOS Research AreaGeology ; Meteorology & Atmospheric Sciences ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS IDWOS:000672861900001
PublisherCOPERNICUS GESELLSCHAFT MBH
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/163860
Collection中国科学院地理科学与资源研究所
Corresponding AuthorCheng, Weiming
Affiliation1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, POB 217, NL-7500 AE Enschede, Netherlands
4.Univ Lausanne, Inst Earth Surface Dynam, Fac Geosci & Environm, CH-1015 Lausanne, Switzerland
5.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
6.Collaborat Innovat Ctr South China Sea Studies, Nanjing 210093, Peoples R China
7.MWR, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
8.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
9.Southwest Petr Univ, Sch Civil Engn & Architecture, Chengdu 610500, Peoples R China
Recommended Citation
GB/T 7714
Wang, Nan,Lombardo, Luigi,Tonini, Marj,et al. Spatiotemporal clustering of flash floods in a changing climate (China, 1950-2015)[J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES,2021,21(7):2109-2124.
APA Wang, Nan,Lombardo, Luigi,Tonini, Marj,Cheng, Weiming,Guo, Liang,&Xiong, Junnan.(2021).Spatiotemporal clustering of flash floods in a changing climate (China, 1950-2015).NATURAL HAZARDS AND EARTH SYSTEM SCIENCES,21(7),2109-2124.
MLA Wang, Nan,et al."Spatiotemporal clustering of flash floods in a changing climate (China, 1950-2015)".NATURAL HAZARDS AND EARTH SYSTEM SCIENCES 21.7(2021):2109-2124.
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