Spatiotemporal Variations of Extreme Precipitation and Study on Chaotic Characteristics in the Xijiang River Basin, China

被引:4
作者
Ding, Xingchen [1 ,2 ]
Liao, Weihong [3 ,4 ]
Wang, Hao [3 ,4 ]
Lei, Xiaohui [3 ,4 ]
Zhang, Wei [5 ]
Yu, Zhilei [3 ,4 ,6 ]
机构
[1] Northeastern Univ, Coll Resource & Civil Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Northeastern Univ, Sci & Technol Innovat Ctr Smart Water & Resource, Shenyang 110819, Liaoning, Peoples R China
[3] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
[4] IWHR, Dept Water Resources, Beijing 100038, Peoples R China
[5] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
[6] Tsinghua Univ THU, Dept Hydraul Engn, Beijing 100084, Peoples R China
关键词
extreme precipitation; wet days; trend; spatiotemporal variation; homogeneity; concentration index; Lorenz asymmetry coefficient; chaos theory; Xijiang River Basin; NONLINEAR ENSEMBLE PREDICTION; LOESS PLATEAU; COASTAL AREA; TEMPERATURE; TRENDS; RAINFALL; VARIABILITY; DROUGHT; EVENTS; SEA;
D O I
10.3390/w11102106
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Climate change leads to the increase of frequency and intensity for extreme precipitation events, potentially threatening the development of our society. It is of great significance to study the spatiotemporal variation of precipitation for understanding cycle process of water and its response to global warming. This paper selects the Xijiang River basin, which locates on a low latitude and coastland, as the research area. The spatiotemporal distribution and homogeneity of precipitation are analyzed, and the spatial trend is studied using 12 extreme precipitation indices. Finally, chaotic characteristics are evaluated for daily precipitation. The results showed that the precipitation in the basin tended to be unevenly distributed. On wet days, precipitation in the middle and the west was more and more uniform. The proportion of tiny rain was the largest, between 33.5% and 41.3%. The proportion of violent rain was the smallest, between 0.1% and 4.7%. Duan had the highest frequency for violent rain, and the probability of disasters caused by extreme precipitation near the station was the highest. The simple daily intensity index (SDII) showed a significant increase in the middle and the northeast. PRCPTOT (annual total wet-day precipitation) showed a decreasing trend in the northwest. The average rates of variation for R95PTOT (precipitation on very wet days) and R99PTOT (precipitation on extremely wet days) were -0.01 mm/year and 0.06 mm/year, respectively. There might be a risk of drought on the west of the basin in the future. Precipitation in other locations was still relatively abundant. Daily precipitation showed high dimension and high chaotic characteristics. The MED (minimum embedding dimension) was between 11 and 30, and the MLE (largest Lyapunov exponent) was between 0.037 and 0.144.
引用
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页数:24
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