Detecting spatiotemporal variations of maximum rainfall intensities at various time intervals across Virginia in the past half century
نویسندگان
چکیده
Maximum precipitation, which varies among locations and annually at a location of interest, is the base for sizing hydraulic structures. Understanding such spatiotemporal variations necessary accurate rainfall prediction but remains incomplete in most regions, including state Virginia. The objective this study was to fill information gap Virginia using 15-min precipitation data collected 57 gauges. In regard, linear regression method modified Mann-Kendall technique that can consider climate-relevant non-stationarity were applied detect possible step changes temporal trends maximum annual intensities various time intervals, while spatial statistics, namely global Moran's I local indicator association, used reveal autocorrelations clusters. results indicated although no detected, statistically significant detected almost half selected coastal plain experienced an increasing trend intensity durations 24 h longer, whereas other areas had decreasing trend, with relatively more larger rates west-central ridge-valley areas. dependent on scale interest. Given diversity climatic patterns physiographic features testbed, demonstrates innovations understanding how extreme would be changed from climate change beyond
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ژورنال
عنوان ژورنال: Atmospheric Research
سال: 2021
ISSN: ['1873-2895', '0169-8095']
DOI: https://doi.org/10.1016/j.atmosres.2021.105534