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Spatial and temporal variation of rainfall extremes for the North Anhui Province Plain of China over 1976–2018.

Authors :
Du, Mingcheng
Zhang, Jianyun
Yang, Qinli
Wang, Zhenlong
Bao, Zhenxin
Liu, Yanli
Jin, Junliang
Liu, Cuishan
Wang, Guoqing
Source :
Natural Hazards; 2021, Vol. 105 Issue 3, p2777-2797, 21p
Publication Year :
2021

Abstract

The North Anhui Province Plain (NAHPP), an important food production plain in China, is prone to frequent droughts and floods. To better understand the extreme events and mitigate their effects, this paper explores the spatiotemporal variation of precipitation extremes in the NAHPP during 1976 and 2018. Variation trends and spatial distributions of the annual maximum 1-day, 3-day, 7-day, and 15-day-rainfall were analyzed, and the probability distribution of rainfall extremes in the NAHPP was calculated by three distribution functions (Gumbel, P-III, and generalized extreme value). The optimal fitting function was selected based on the Kolmogorov–Smirnov test, and the rainfall in different return periods was calculated according to the optimal fitting function. The results indicate that rainfall extreme showed a 2- to 3-year periodicity on the interannual scale and 21-year periodicity on the chronological scale in the NAHPP. The rainfall extremes showed nonsignificant increase trend over the NAHPP, and some stations showed no significant decrease trend. The P-III distribution function best fit to the rainfall extremes (the maximum 1-day rainfall: 59%). The spatial distributions of rainfall extremes were similar in different return periods. As the return period increased, the estimated rainfall by the three distribution functions were slightly larger than that in the empirical return period. The findings will benefit regional water resources management and water-related risk control. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0921030X
Volume :
105
Issue :
3
Database :
Complementary Index
Journal :
Natural Hazards
Publication Type :
Academic Journal
Accession number :
148449317
Full Text :
https://doi.org/10.1007/s11069-020-04423-9