Trends in runoff versus climate change in typical rivers in the arid region of northwest China

被引:76
作者
Li, Baofu [1 ,2 ]
Chen, Yaning [1 ]
Chen, Zhongsheng [1 ]
Li, Weihong [1 ]
机构
[1] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
[2] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
关键词
WATER-RESOURCES; CHANGE IMPACTS; CHANGE SCENARIOS; TARIM RIVER; BASIN; HYDROLOGY; XINJIANG; AMERICA; JORDAN;
D O I
10.1016/j.quaint.2012.06.005
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
To clarify runoff and climate change trends and its relation in typical rivers in the arid region of northwest China (ANC), this study takes the runoff and meteorological data of 11 rivers in 5 typical river areas from mountain-pass as the research objects. The Mann-Kendall test, Extrapolation of Variance Analysis of Time-series Period and Correlation Analysis Method are applied to analyze the temporal and spatial variations of climate and runoff. The results show that in the past 50 years, the temperature, precipitation and runoff in the each river area exhibited an upward tendency. However, the runoff from the south slope of Altai Mountains and the north slope of Kunlun Mountains and the precipitation on the north slope of Qilian Mountains, the north slope of Kunlun Mountains and the south slope of Tianshan Mountains show inconspicuous changes. The increasing rates of temperature and precipitation in the river area of Northern Xinjiang is the largest, an average of 0.44 degrees C/10a and 15.39 mm/10a; followed by that in the river area of Hexi Corridor, 0.29 degrees C/10a and 7.64 mm/10a. The lowest one is in the river area of Southern Xinjiang, only 024 degrees C/10a and 5.50 mm/10a. However, the increasing rate of runoff is the slowest in Northern Xinjiang while that in Southern Xinjiang is the fastest, mainly related to runoff recharge difference. The runoff recharge proportions from glaciers and precipitation have great effects on the relation between runoff and temperature and precipitation. (C) 2012 Elsevier Ltd and INQUA. All rights reserved.
引用
收藏
页码:87 / 95
页数:9
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