Spatiotemporal clustering of flash floods in a changing climate (China, 1950-2015)
文献类型：期刊论文
| 作者 | Wang, Nan6,9; Lombardo, Luigi1; Tonini, Marj8; Cheng, Weiming5,6,7,9; Guo, Liang3,4; Xiong, Junnan2,6 |
| 刊名 | NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
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| 出版日期 | 2021-07-13 |
| 卷号 | 21期号:7页码:2109-2124 |
| ISSN号 | 1561-8633 |
| DOI | 10.5194/nhess-21-2109-2021 |
| 通讯作者 | Cheng, Weiming(chengwm@lreis.ac.cn) |
| 英文摘要 | The 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. |
| WOS关键词 | TROPICAL CYCLONES ; RISK-MANAGEMENT ; DRIVING FACTORS ; RIVER-BASIN ; EVENTS ; SUSCEPTIBILITY ; FREQUENCY ; RAINFALL ; INDEXES ; METHODOLOGY |
| 资助项目 | Science 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] |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000672861900001 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| 资助机构 | Science and Technology Project of Xizang Autonomous Region ; China National Flash Flood Disasters Prevention and Control project ; Science and Technology Development Plan of Jilin Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/163859]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cheng, Weiming |
| 作者单位 | 1.Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, POB 217, NL-7500 AE Enschede, Netherlands 2.Southwest Petr Univ, Sch Civil Engn & Architecture, Chengdu 610500, Peoples R China 3.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China 4.MWR, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China 5.Collaborat Innovat Ctr South China Sea Studies, Nanjing 210093, Peoples R China 6.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 7.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 8.Univ Lausanne, Inst Earth Surface Dynam, Fac Geosci & Environm, CH-1015 Lausanne, Switzerland 9.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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