RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2016, Vol. 25 >> Issue (09): 1448-1456.doi: 10.11870/cjlyzyyhj201609016

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TEMPORAL AND SPATIAL VARIATION OF RAINFALL EXTREMES IN HAN RIVER BASIN FROM 1960 TO 2014

LI Dan1, GUO Sheng-lian1, HONG Xing-jun1, GUO Jing2   

  1. 1. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan 430072, China;
    2. PowerChina Huadong Engineering Corporation Limited, Hangzhou 310012, China
  • Received:2016-01-06 Revised:2016-04-13 Online:2016-09-20
  • Supported by:
    Key Program of National Natural Science Foundation of China (51539009);National Natural Science Foundation of China (41401018)

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Abstract: A deeper understanding of the spatiotemporal variation of rainfall extremes will help improve the ability in response to extreme disasters. The PDS/GP model for Han River basin was constructed and the Rainfall Extremes Variation Index (REVI) was proposed to analyze the annual variation of monthly rainfall extremes for the different seasons and full year from 1960 to 2014 by combing the statistical test. The study was based on a 55-year partial duration series of rainfall data from 15 gauging stations in Han River basin. Meanwhile the clustering coefficient and node degree based on the network theory was employed to study the spatial distribution on the basis of REVI in typical years for different seasons. The results show that the seasonal difference of monthly rainfall extremes was quite remarkable in Han River basin, and there were no uniform trends in recently 55 years. Among the three seasons, the situation in summer is quite opposite to that in spring and autumn, while the highest annual fluctuation was present in autumn because of monsoon climate. Spatially, by the comprehensive effects of monsoon climate, underlying surface conditions and human activities, the most dramatic change can be found in the upper reach of Han River. With increasing correlation threshold, the connectivity between stations in the whole basin decreased, which was larger in the upstream than in the middle and lower reaches of Han River. For the same correlation threshold, the results also indicated that even nearest stations had significantly different connectivity, and even some distant stations had very similar connectivity properties. The results can provide a reference for spatial interpolation of rainfall extremes.

Key words: rainfall extreme, PDS/GP model, clustering coefficient, Han River basin

CLC Number: 

  • TV125
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