干旱区生态环境知识资源中心(Arid): Impact of rainfall spatiotemporal variability and model structures on flood simulation in semi-arid regions

Arid

DOI	10.1007/s00477-021-02050-9
	Impact of rainfall spatiotemporal variability and model structures on flood simulation in semi-arid regions
	Liu, Yuhuan; Li, Zhijia; Liu, Zhiyu; Luo, Yun
通讯作者	Li, ZJ ; Liu, ZY (corresponding author), Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China. ; Liu, ZY (corresponding author), Minist Water Resources China, Informat Ctr, Beijing 100053, Peoples R China.
来源期刊	STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
ISSN	1436-3240
EISSN	1436-3259
出版年	2021-07
英文摘要	The spatiotemporal heterogeneity in precipitation and underlying surfaces and hybrid runoff generation mechanism make hydrological modelling and forecasting in semi-arid regions becoming a challenging work. Therefore, to provide a reference for the development of hydrological models in such regions, two nested hydrological experimental watersheds in semi-arid regions were selected for attribution analysis. Based on the concept of large-sample hydrology, large-scale numerical simulation experiments were performed by constructing different spatial and temporal scale rainfall schemes and combining three hydrological models with different runoff generation mechanisms. Finally, the influences of the time step, station density, and model structure on the flood simulations in semi-arid regions were evaluated. The spatial interpolation technique was used simultaneously to describe the high-dimensional complicated nonlinear relationships between the influencing factors and simulation results. The results show the following: (1) the flood simulation accuracy was more sensitive to the time step than the spatial station density of the rainfall schemes and was highly dependent on the time step of the original observation data, and (2) compared with the accuracy of the rainfall schemes, the model structure plays a dominant role in flood simulation accuracy. Thus, the hybrid model has significant potential for flood forecasting in semi-arid regions by combining different runoff generation mechanisms. (3) The spatial interpolation technique based on the k-nearest neighbour algorithm can construct a high-dimensional distribution between the influencing factors and model simulation accuracy, and describe the complicated relationships among the time step, station density, model structure, and flood simulations.
英文关键词	Semi-arid region Small- and medium-sized watershed Spatiotemporal rainfall scheme Multi-runoff generation mechanisms Flood simulation Spatial interpolation technique
类型	Article ; Early Access
语种	英语
开放获取类型	Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000673721500001
WOS关键词	SPATIAL INTERPOLATION ; TIME-SERIES ; PRECIPITATION ; RUNOFF ; CATCHMENT ; RESOLUTION ; SATELLITE ; HYDROLOGY ; WATER
WOS类目	Engineering, Environmental ; Engineering, Civil ; Environmental Sciences ; Statistics & Probability ; Water Resources
WOS研究方向	Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources
来源机构	河海大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364727
作者单位	[Liu, Yuhuan; Li, Zhijia; Liu, Zhiyu; Luo, Yun] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China; [Liu, Zhiyu] Minist Water Resources China, Informat Ctr, Beijing 100053, Peoples R China
推荐引用方式 GB/T 7714	Liu, Yuhuan,Li, Zhijia,Liu, Zhiyu,et al. Impact of rainfall spatiotemporal variability and model structures on flood simulation in semi-arid regions[J]. 河海大学,2021.
APA	Liu, Yuhuan,Li, Zhijia,Liu, Zhiyu,&Luo, Yun.(2021).Impact of rainfall spatiotemporal variability and model structures on flood simulation in semi-arid regions.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT.
MLA	Liu, Yuhuan,et al."Impact of rainfall spatiotemporal variability and model structures on flood simulation in semi-arid regions".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021).