Estimating the sensitivity of runoff to climate change in an alpine-valley watershed of Xinjiang,China |
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| Authors: | Ling Wang Hai-Long Liu An-Ming Bao Xiang-Liang Pan Xi Chen |
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| Institution: | 1. College of Science, Shihezi University, Shihezi 832003, P. R. Chinaliuhl@shzu.edu.cn;3. Water Resources and Architectural Engineering College, Shihezi University, Shihezi 832003, China;4. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;5. Key Laboratory of Oasis Ecology and Desert Environment, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China |
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| Abstract: | ABSTRACTThe spatial-temporal variation of runoff in an inland basin is very sensitive to climate change. Investigation of runoff change in arid areas is typically limited by lack of meteorological and hydrogeological data. This study focused on runoff change in the Yarkand River source area of the Tarim Basin, China, with the aim of analysing the influence of climate change on the response characteristics of discharge. Sensitivity analysis was introduced to reflect the degree of influence of climate on runoff. Based on the sensitivity factors, over 30 sets of schemes including the IPCC Fourth Assessment Report were simulated using the MIKE 11/NAM rainfall–runoff model and the response of runoff was analysed. The results indicate that there are significant correlations and synchronous fluctuations between runoff and precipitation, evaporation and temperature. The characteristics of the sensitivity of runoff can be fitted well by Bi-Gaussian functions. The functions show that high sensitivity indexes mainly appear in the interval of 165 ± 100 m3 s-1. The influence of precipitation on runoff is greater than that of other climate factors. Through simulation using the NAM model, we found that change of annual runoff was related to the initial climate condition. Annual runoff will have an increasing trend if it has a strong sensitivity to the initial meteorological condition. Moreover, the runoff decreases linearly with evaporation. Also it has a positive relationship with temperature and precipitation. Across the four seasons, the impact in summer and winter is greater than that in spring and autumn. Estimation of the spatial-temporal influence of climate on runoff could provide insight for water resource development in arid areas. Editor Z.W. Kundzewicz Associate editor not assigned |
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| Keywords: | climate change sensitivity precipitation runoff Gaussian functions |
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