[1]LI Jia-xiu,XU Chang-chun,WANG Xiao,et al.Extreme Hydrological Events and Its Response to Climate Change in the Kaidu River Basin[J].Research of Soil and Water Conservation,2014,21(05):285-291,297.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
21
Number of periods:
2014 05
Page number:
285-291,297
Column:
Public date:
2014-10-28
- Title:
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Extreme Hydrological Events and Its Response to Climate Change in the Kaidu River Basin
- Author(s):
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LI Jia-xiu1,2, XU Chang-chun1,2, WANG Xiao3, GAO Shen-tong1,2, ZHAO Jie1,2
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1. Key Laboratory of Oasis Ecology of Ministry of Education, Xinjiang University, Urumqi 830046, China;
2. School of Resources and Environmental Science, Xinjiang University, Urumqi 830046, China;
3. Department of Personnel, Sichuan University for Nationalities. Kangding, Sichuan 626001, China
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- Keywords:
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extreme flood events; extreme low water events; cumulative frequency method; concentration ratio; runs arithmetics
- CLC:
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P467;P333
- DOI:
-
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- Abstract:
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Based on the daily discharge and meteorological date from 1972 to 2012 at the Dashankou hydrological station and Bayinbuluke weather station in the Kaidu River Basin, the characteristics of extreme hydrological events (EHE) were investigated, the threshold value was determined by the cumulative frequency method, the inner-annual and inter-annual changes of EHE, the session distribution of EHE and their responses to climate change were analyzed in the study area. The results showed that the EHE in the region was extremely unstable. The inner-annual distribution was uneven and the concentration degree was higher. The extreme flood events mainly occurred in July, and the extreme low water events mainly appeared in February. The inter-annual variability was quite unstable with a high deviation from the normal distribution. The extreme flood events totally presented an increasing trend and had an abrupt change in 1986; while the extreme low water events totally presented a decreasing trend and had an abrupt change in 1993.The extreme flood frequency had a higher correlation with precipitation, while the extreme low water frequency had a higher negative correlation with temperature.