The mechanism and scenarios of how mean annual runoff varies with climate change in Asian monsoon areas

被引:32
作者
Chen, Junxu [1 ,2 ,3 ]
Xia, Jun [1 ,4 ]
Zhao, Changsen [5 ,6 ,7 ]
Zhang, Shifeng [1 ]
Fu, Guobin [8 ]
Ning, Like [1 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
[2] Yunnan Univ, Sch Resource Environm & Earth Sci, Kunming 650091, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
[5] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[6] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100875, Peoples R China
[7] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China
[8] CSIRO Land & Water, Wembley, WA, Australia
基金
中国国家自然科学基金;
关键词
Two-parameter climate elasticity index; Gardner function; Climate change; Climate elasticity of runoff; RCPs; Asian monsoon region; ANNUAL STREAMFLOW; WATER-RESOURCES; IMPACTS; ELASTICITY; BASIN; SENSITIVITY; MANAGEMENT; MODELS; TRENDS; RIVERS;
D O I
10.1016/j.jhydrol.2014.05.075
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Understanding the effects of climate change on runoff is important for the sustainable management of water resources. However, the mechanism of such effects in the Asian monsoon region remains unclear. This study revisits Fu's two-parameter climate elasticity index and enhances it by using the Gardner function to strengthen the former's prediction reliability when the future climate condition is beyond the historical range. Then the improved method was applied to study the elasticity change with temperature and precipitation in the eastern monsoon basins of China, whereas to explore the mechanism of climate change on runoff. Furthermore, the runoff change and the elasticity of the study area from 2020 to 2050 under representative concentration pathways (RCPs) were predicted. Results show that the trend of elasticity change assumes a centrosymmetric picture with the symmetric point (0,0). Different catchments respond differently to the same climate change scenario: the sensitivity of the Haihe Basin is the highest; those of Yellow, Huaihe, Liaohe, Songhua, Pearl, Yangtze, and Southeast Rivers are lower, in descending order. The changing mode of precipitation and temperature differs greatly to keep the runoff unchanged. For semi-humid regions in which the mean annual temperature ranges from 0.71 degrees C to 9.0 degrees C, such as the basins of Songhua, Liaohe, Haihe, and Yellow, a 1 degrees C increase in temperature requires a corresponding 3.2-4.0% increase in precipitation to keep the runoff unchanged. However, in wet regions, such as the basins of Yangtze, Southeast Rivers, and Pearl, the same change in temperature requires a less than 2.8% increase in precipitation to keep the runoff unchanged. In the future, the runoff in most basins may decrease in different degrees. The decreasing velocity of the runoff is the fastest in the RCP8.5 scenario and the decreasing trend of the runoff slows down under the RCP4.5 and RCP2.6 scenarios. The proposed method can be applied to other basins to assess potential climate change effects on annual runoff. The results of the basins studies can inform planning of long-term basin water management strategies taking into account global change scenarios. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:595 / 606
页数:12
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