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Statistical spatiotemporal analysis of hydro-morphological processes in China during 1950-2015

文献类型：期刊论文

作者Wang, Nan3,4; Cheng, Weiming3,4,5,6; Lombardo, Luigi7; Xiong, Junnan2,3; Guo, Liang1
刊名STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
出版日期2021-04-19
页码21
关键词Hydro-morphological processes Spatiotemporal distribution Periodicity Clustering
ISSN号1436-3240
DOI10.1007/s00477-021-02007-y
通讯作者Cheng, Weiming(chengwm@lreis.ac.cn)
英文摘要Hydro-morphological processes (HMPs) are some of the most destructive natural disasters. Understanding the spatiotemporal characteristics of HMPs across China is important for enabling better disaster estimation and prevention at the national scale. However, few studies have focused on the spatiotemporal HMP characterization under various geomorphic settings in China, which may shed light on their regional/national evolution. To bridge this research gap, we analysed the longest HMP time series available in China, which including 47,483 HMP records, to detect spatiotemporal patterns. Specifically, we run several tests namely, Mann-Kendall test, wavelet analysis, Monthly Frequency, and Index of Dispersion, with the objective of detecting the temporal evolution, trends, period, and clustering of HMPs in six geomorphological regions (geomorphic-regions): Eastern Plain, South Eastern Mountain (SEM), North Central Plateau, North Western Basin, South Western Mountain (SWM), and Tibetan Plateau. Our results show that in the last decades have been associated with a marked increase in HMPs and this should be accounted for, especially in those areas where we have retrieved high spatiotemporal clustering (e.g., SEM, SWM). Besides, the main periodicity of HMPs is approximately 12-25 years for most of China since the 1980s, which showed analogous patterns with precipitation anomalies. This study provides a preliminary reference for revealing the spatiotemporal characteristics of HMPs in the context of climate change; therefore, the information provided can be crucial to plan engineering applications with specific return period.
资助项目National Natural Science Foundation of China[41590845] ; China National Flash Flood Disasters Prevention and Control Project[SHZH-IWHR-57] ; China Institute of Water Resources and Hydropower Research (IWHR)
WOS研究方向Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources
语种英语
WOS记录号WOS:000641213800002
出版者SPRINGER
资助机构National Natural Science Foundation of China ; China National Flash Flood Disasters Prevention and Control Project ; China Institute of Water Resources and Hydropower Research (IWHR)
源URL[http://ir.igsnrr.ac.cn/handle/311030/161754]  
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.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
2.Southwest Petr Univ, Sch Civil Engn & Architecture, Chengdu 610500, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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.Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, POB 217, NL-7500 AE Enschede, Netherlands
推荐引用方式
GB/T 7714		 Wang, Nan,Cheng, Weiming,Lombardo, Luigi,et al. Statistical spatiotemporal analysis of hydro-morphological processes in China during 1950-2015[J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,2021:21.
APA Wang, Nan,Cheng, Weiming,Lombardo, Luigi,Xiong, Junnan,&Guo, Liang.(2021).Statistical spatiotemporal analysis of hydro-morphological processes in China during 1950-2015.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,21.
MLA Wang, Nan,et al."Statistical spatiotemporal analysis of hydro-morphological processes in China during 1950-2015".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021):21.

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来源：地理科学与资源研究所

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