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DOI10.1016/j.atmosres.2021.105534
Detecting spatiotemporal variations of maximum rainfall intensities at various time intervals across Virginia in the past half century
Yang X.; Wang X.; Cai Z.; Cao W.
发表日期2021
ISSN0169-8095
卷号255
英文摘要Maximum precipitation, which varies among locations and annually at a location of interest, is the base for sizing hydraulic structures. Understanding such spatiotemporal variations is necessary for accurate rainfall prediction but remains incomplete in most regions, including the state of Virginia. The objective of this study was to fill this information gap for Virginia using 15-min precipitation data collected at 57 gauges. In this regard, a linear regression method and a modified Mann-Kendall technique that can consider the climate-relevant non-stationarity were applied to detect possible step changes and temporal trends of maximum annual rainfall intensities at various time intervals, while spatial statistics, namely global Moran's I and local indicator of spatial association, were used to reveal the spatial autocorrelations and clusters. The results indicated that although no step changes were detected, statistically significant trends were detected for almost half of the selected gauges. The coastal plain experienced an increasing trend in rainfall intensity for durations of 24 h and longer, whereas the other areas of the state had a decreasing trend, with relatively more trends and larger decreasing rates in the west-central ridge-valley areas. The spatial autocorrelations of rainfall intensities in the state of Virginia were dependent on a spatial scale of interest. Given the diversity of the climatic patterns and physiographic features in the testbed, this study demonstrates innovations in understanding how extreme rainfall intensity would be changed from climate change beyond Virginia. © 2021 Elsevier B.V.
英文关键词Design storm; Non-stationarity; Pattern; Rainfall intensity; Trend
来源期刊Atmospheric Research
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/236805
作者单位Department of Civil and Environmental Engineering, Old Dominion University, Norfolk, VA 23529, United States; College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia Autonomous Region 010018, China
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GB/T 7714
Yang X.,Wang X.,Cai Z.,et al. Detecting spatiotemporal variations of maximum rainfall intensities at various time intervals across Virginia in the past half century[J],2021,255.
APA Yang X.,Wang X.,Cai Z.,&Cao W..(2021).Detecting spatiotemporal variations of maximum rainfall intensities at various time intervals across Virginia in the past half century.Atmospheric Research,255.
MLA Yang X.,et al."Detecting spatiotemporal variations of maximum rainfall intensities at various time intervals across Virginia in the past half century".Atmospheric Research 255(2021).
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