The Nonlinear trend of runoff and its response to climate change in the Aksu River, western China

The nonlinear trend of runoff and its response to climate change in the Aksu River were identified and evaluated using several selected methods, including grey relation analysis, wavelet analysis, and regression analysis. The time series of runoff and related climate variables from two hydrologic stations and four meteorological stations during 1959–2005 for the Aksu River were used to construct and test empirical models. The key findings of this study indicate that although the time series of the runoff, temperature and precipitation present nonlinear trends, the runoff exhibits a linear correlation with the temperature and precipitation. These results reveal that there is a close relationship between variations in the annual runoff of the Aksu River and regional climate change; in other words, the nonlinear trends of the variations in the runoff is the response to that of regional climate change. The details supporting the key findings are as follows: (1) The annual runoff presented nonlinear trends that depend on time scales, which appeared to have resulted from the regional climate changes that occurred during the study period. (2) The periodicity of changes in runoff, temperature, and precipitation are closely correlated, that of annual runoff occurred on 24-year cycle, whereas annual average temperature and annual precipitation occurred on 23- and 25-year cycles. (3) The annual runoff exhibited a significant, positive correlation with the temperature and precipitation at the 1-, 2-, 4-, and 8-year temporal scales. Copyright © 2010 Royal Meteorological Society

[1]  Eun-Sung Chung,et al.  Hydrological effects of climate change, groundwater withdrawal, and land use in a small Korean watershed , 2007 .

[2]  B. Mahmood Impact of climate change on the water , 2007 .

[3]  C. Torrence,et al.  A Practical Guide to Wavelet Analysis. , 1998 .

[4]  Alex J. Cannon,et al.  A graphical sensitivity analysis for statistical climate models: application to Indian monsoon rainfall prediction by artificial neural networks and multiple linear regression models , 2002 .

[5]  Jianhua Xu,et al.  Long-term trend and fractal of annual runoff process in mainstream of Tarim River , 2008 .

[6]  Jianhua Xu,et al.  Climate change and its effects on runoff of Kaidu River, Xinjiang, China: A multiple time-scale analysis , 2008 .

[7]  Xu Jian-hua,et al.  Long-term trend and fractal of annual runoff process in mainstream of Tarim River , 2008 .

[8]  Heng Tao Shen,et al.  Dimensionality Reduction , 2009, Encyclopedia of Database Systems.

[9]  Praveen Kumar,et al.  A Modeling Study of the ENSO Influence on the Terrestrial Energy Profile in North America , 2004 .

[10]  Chen Yaning,et al.  Plausible impact of global climate change on water resources in the Tarim River Basin , 2005 .

[11]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  J. Deng,et al.  Introduction to Grey system theory , 1989 .

[13]  V. Singh,et al.  Mathematical Modeling of Watershed Hydrology , 2002 .

[14]  David Labat,et al.  Recent advances in wavelet analyses: Part 1. A review of concepts , 2005 .

[15]  Jiang Li,et al.  Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction , 2002, IEEE Trans. Geosci. Remote. Sens..

[16]  S. Hastenrath Diagnostics and Prediction of Anomalous River Discharge in Northern South America , 1990 .

[17]  L. Hansen,et al.  Climate Change and Its Effects , 2011 .

[18]  J. Ramsey Regression over Timescale Decompositions: A Sampling Analysis of Distributional Properties , 1999 .

[19]  Application of a conceptual streamflow model in a glacierized drainage basin , 1993 .

[20]  T. Gan Reducing Vulnerability of Water Resources of Canadian Prairies to Potential Droughts and Possible Climatic Warming , 2000 .

[21]  F. Mutua,et al.  Climate change impact on SWAT simulated streamflow in western Kenya , 2009 .

[22]  Yaning Chen,et al.  Regional climate change and its effects on river runoff in the Tarim Basin, China , 2006 .

[23]  Jianhua Xu,et al.  A comprehensive approach to characterization of the nonlinearity of runoff in the headwaters of the Tarim River, western China , 2009 .

[24]  Jianhua Xu,et al.  The complex nonlinear systems with fractal as well as chaotic dynamics of annual runoff processes in the three headwaters of the Tarim River , 2009 .

[25]  J. Y. Li,et al.  Impact of Climate Change on Water Resources in the Tarim River Basin , 2004 .

[26]  Y. Xue,et al.  Variabilities of the spring river runoff system in East China and their relations to precipitation and sea surface temperature , 2009 .

[27]  Chien-ming Chou Efficient nonlinear modeling of rainfall-runoff process using wavelet compression , 2007 .

[28]  Miguel A. Carreira-Perpinan,et al.  Dimensionality Reduction , 2011 .

[29]  Laurence C. Smith,et al.  Stream flow characterization and feature detection using a discrete wavelet transform , 1998 .

[30]  M. Farge Wavelet Transforms and their Applications to Turbulence , 1992 .

[31]  E. Kang,et al.  Recent and Future Climate Change in Northwest China , 2007 .

[32]  Martijn Gough Climate change , 2009, Canadian Medical Association Journal.

[33]  Zhihui Zhang,et al.  A distributed water-heat coupled model for mountainous watershed of an inland river basin of Northwest China (I) model structure and equations , 2008 .

[34]  Minhe Ji,et al.  Wavelet analysis and nonparametric test for climate change in Tarim River Basin of Xinjiang during 1959–2006 , 2009 .

[35]  Heung Wong,et al.  Streamflow forecasting using functional-coefficient time series model with periodic variation. , 2009 .

[36]  H. Ahlmann Le Niveau De Glaciation Comme Fonction De L'accumulation D'humidité Sous Forme Solide , 1924 .