Runoff variation law and its response to climate change in the headstream area of the Keriya River basin, Xinjiang

Hongbo Ling , Qingqing Zhang , Wei Shi , Hailiang Xu

Journal of Earth Science ›› 2011, Vol. 22 ›› Issue (6) : 780 -791.

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Journal of Earth Science ›› 2011, Vol. 22 ›› Issue (6) : 780 -791. DOI: 10.1007/s12583-011-0227-0
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Runoff variation law and its response to climate change in the headstream area of the Keriya River basin, Xinjiang

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Abstract

Based on the runoff and meteorological data of Langan (兰干) Hydrological Station from 1957 to 2009 in Keriya (克里雅) River, the periodicities, abrupt changes, and trends of climate factors and runoff were investigated by wavelet analysis and nonparametric test; then, the future change of the annual runoff was predicted by a periodic trend superposition model. In succession, the influencing volumes of climate change on the annual runoff were separated from the observation values of the annual runoff in Keriya River. The results show that (1) temperature series increased significantly, while the annual runoff and precipitation of Keriya River increased insignificantly at the significant level of α=0.05; (2) the common periods of 9 and 15 years existed in the annual runoff evolution process, and the primary periods of temperature and precipitation were 9 and 22 years and 9 and 13 years, respectively; (3) the annual runoff did not vary simultaneously with the abrupt change of climate factors in the headstream; the abrupt points of annual runoff and temperature are at 1998 and 1980 year, and that of precipitation is not so significant; and (4) the annual runoff will experience a decrease trend in the future period; the total increasing volume owing to climate change is 23.154×108 m3 in the headstream during the period of 1999–2009; however, the stream flow has been nearly utilized completely due to the human activities in the mainstream area of Keriya River.

Keywords

climate change / period and trend of runoff / nonparametric test / Keriya River / arid region

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Hongbo Ling, Qingqing Zhang, Wei Shi, Hailiang Xu. Runoff variation law and its response to climate change in the headstream area of the Keriya River basin, Xinjiang. Journal of Earth Science, 2011, 22(6): 780-791 DOI:10.1007/s12583-011-0227-0

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References

[1]

Chen R., Deng X. Z., Zhan J. Y., . Estimation Model and Application of the Amount of Eco-Water Demand: A Case Study on Keriya River Basin. Geographical Research, 2005, 24(5): 725-731.

[2]

Chen Y. N., Kuniyoshi T., Xu C. C., . Regional Climate Change and Its Effects on River Runoff in the Tarim Basin, China. Hydrological Processes, 2006, 20(10): 2207-2216.

[3]

Cheng H.. Impact of Water on the Eco-Geographic Environment along the Keriya River. Die Erde, 1991, 6: 148-164.

[4]

Fan Z. L., Ji F.. The Changes of Natural Environment and the Green Corridor Protection in Middle-Lower Reaches of the Keriya River. Arid Zone Research, 1989, 3: 16-24.

[5]

Farge M.. Wavelet Transforms and Their Applications to Turbulence. Annual Review of Fluid Mechanics, 1992, 24: 395-457.

[6]

Foster P.. The Potential Negative Impacts of Global Climate Change on Tropical Montane Cloud Forests. Earth-Science Reviews, 2001, 55(1–2): 73-106.

[7]

Gan T. Y.. Hydro-Climatic Trends and Possible Climatic Warming in the Canadian Prairies. Water Resources Research, 1998, 34(11): 3009-3015.

[8]

He Y. Q., Pu T., Li Z. X., . Climate Change and Its Effect on Annual Runoff in Lijiang Basin-Mt. Yulong Region, China. Journal of Earth Science, 2010, 21(2): 137-147.

[9]

Helsel D. R., Hirsch R. M.. Statistical Methods in Water Resources, 1992, Amsterdam: Elsevier 522

[10]

Kendall M. G.. Rank Correlation Methods, 1975, London: Charles Griffin 10 35

[11]

Meybeck M.. The Global Change of Continental Aquatic Systems: Dominant Impacts of Human Activities. Water Science and Technology, 2004, 49(7): 73-83.

[12]

Shi Y. F., Shen Y. P., Hu R. J.. Preliminary Study on Signal, Impact and Foreground of Climatic Shift from Warm-Dry to Warm-Humid in Northwest China. Journal of Glaciology and Geocryology, 2002, 24(3): 219-226.

[13]

Torrence C., Compo G. P.. A Practical Guide to Wavelet Analysis. Bulletin of the American Meteorological Society, 1998, 79(1): 61-78.

[14]

van Belle G., Hughes J. P.. Nonparametric Tests for Trend in Water Quality. Water Resources Research, 1984, 20(1): 127-136.

[15]

Wu S. F., Han P., Li Y., . Predicated Variation Tendency of the Water Resources in the Headwaters of the Tarim River. Journal of Glaciology and Geocryology, 2003, 25(6): 708-711.

[16]

Xu C. C., Chen Y. N., Li W. H., . Climate Change and Hydrologic Process Response in the Tarim River Basin over the Past 50 Years. Chinese Science Bulletin, 2006, 51(Suppl.I): 25-36.

[17]

Xu C. Y.. Modelling the Effects of Climate Change on Water Resources in Central Sweden. Water Resources Management, 2000, 14: 177-189.

[18]

Xu H. L., Ye M., Song Y. D.. Analysis and Prediction on the Periodical Change of Water Resources in the Tarim River Watershed. Arid Zone Research, 2005, 22(4): 454-457.

[19]

Yang B., Shi Y. F., Braeuning A., . Evidence for a Warm-Humid Climate in Arid Northwest China during 40–30 ka BP. J. Quaternary Science Reviews, 2004, 23(6): 2537-2548.

[20]

Yang X. P., Zhu Z. D., Jaekel D., . Late Quaternary Palaeoenvironment Change and Landscape Evolution along the Keriya River, Xinjiang, China: The Relationship between High Mountain Glaciation and Landscape Evolution in Foreland Desert Regions. Quaternary International, 2002, 97–98: 155-156.

[21]

Zuo Q. T., Gao F.. Periodic Overlap Prediction Model and Its Three Improved Models of Hydrological Time Series. Journal of Zhengzhou University (Engineering Science), 2004, 25(4): 67-73.

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