Streamflow Trends and Climate Variability Impacts in Poyang Lake Basin, China

Under the background of global warming, does the effect of the rising global surface temperature accelerate the hydrological cycle? To address this issue, we use the hydro-climatic data from five sub-basins in Poyang Lake basin in the southeast China over the past 50 years, to investigate the annual and seasonal trends of streamflow and the correlations between streamflow and climatic variables. The Theil–Sen Approach and the non-parametric Mann–Kendall test are applied to identify the trends in the annual and seasonal streamflow, precipitation and evapotranspiration series. It was found that annual and seasonal streamflow of all the stations had increasing trends except Lijiadu station in wet season. Only 37.5% hydro-stations in annual streamflow increased significantly, while most stations increased at 95% significance level in dry season. Trends in annual and seasonal precipitation during the whole period were generally not as significant as those in evapotranspiration. The correlations between streamflow and climate variables (precipitation and evapotranspiration) were detected by the Pearson’s test. The results showed that streamflow in the Poyang Lake basin are more sensitive to changes in precipitation than potential evapotranspiration.

[1]  M. Kendall Rank Correlation Methods , 1949 .

[2]  Qi Hu,et al.  Annual and seasonal streamflow responses to climate and land-cover changes in the Poyang Lake basin, China , 2008 .

[3]  Derek Karssenberg,et al.  Integrating dynamic environmental models in GIS: The development of a Dynamic Modelling language , 1996, Trans. GIS.

[4]  Francis H. S. Chiew,et al.  Modelling the impacts of climate change on Australian streamflow , 2002 .

[5]  H. B. Mann Nonparametric Tests Against Trend , 1945 .

[6]  J. Houghton,et al.  Climate change 2001 : the scientific basis , 2001 .

[7]  Dingfang Li,et al.  A macro-scale and semi-distributed monthly water balance model to predict climate change impacts in China , 2002 .

[8]  Tong Jiang,et al.  Interactions of the Yangtze river flow and hydrologic processes of the Poyang Lake, China , 2007 .

[9]  P. Sen Estimates of the Regression Coefficient Based on Kendall's Tau , 1968 .

[10]  D. Burn,et al.  Detection of hydrologic trends and variability , 2002 .

[11]  Chong-Yu Xu,et al.  Observed trends of annual maximum water level and streamflow during past 130 years in the Yangtze River basin, China , 2006 .

[12]  Vijay P. Singh,et al.  Historical temporal trends of hydro-climatic variables and runoff response to climate variability and their relevance in water resource management in the Hanjiang basin , 2007 .

[13]  Observed trends and jumps of climate change over Lake Poyang Basin,China:1961-2003 , 2006 .

[14]  T. Jiang,et al.  Temporal and spatial trends of precipitation and river flow in the Yangtze River Basin, 1961-2000 , 2007 .

[15]  H. Theil A Rank-Invariant Method of Linear and Polynomial Regression Analysis , 1992 .

[16]  Yuqing Wang,et al.  Observed trends in extreme precipitation events in China during 1961–2001 and the associated changes in large‐scale circulation , 2005 .

[17]  B. Bates,et al.  Climate change and water. , 2008 .

[18]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[19]  N. Fohrer,et al.  Comparison of a simple and a spatially distributed hydrologic model for the simulation of a lowland catchment in Northern Germany , 2007 .

[20]  T. Jiang,et al.  Observed monthly precipitation trends in China 1951–2002 , 2004 .

[21]  Sheng Yue,et al.  Applicability of prewhitening to eliminate the influence of serial correlation on the Mann‐Kendall test , 2002 .

[22]  Donald H. Burn,et al.  Trends and variability in the hydrological regime of the Mackenzie River Basin , 2006 .

[23]  D. Moorhead,et al.  Increasing risk of great floods in a changing climate , 2002, Nature.

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

[25]  Heinz G. Stefan,et al.  Stream flow in Minnesota : Indicator of climate change , 2007 .

[26]  Chong-Yu Xu,et al.  Variability of Water Resource in the Yellow River Basin of Past 50 Years, China , 2009 .

[27]  S. Yue,et al.  The Mann-Kendall Test Modified by Effective Sample Size to Detect Trend in Serially Correlated Hydrological Series , 2004 .

[28]  J. Gurtz,et al.  The hydrologic impact of land cover changes and hydropower stations in the Alpine Rhine basin , 2005 .

[29]  W. P. A. van. Deursen,et al.  Geographical information systems and dynamic models : development and application of a prototype spatial modelling language , 1995 .

[30]  S. Yue,et al.  Power of the Mann–Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series , 2002 .

[31]  Yonghong Yi,et al.  Spatial and temporal variation of runoff in the Yangtze River basin during the past 40 years , 2008 .

[32]  Yaning Chen,et al.  Responses of streamflow to climate change in the northern slope of Tianshan Mountains in Xinjiang: A case study of the Toutun River basin , 2007 .

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

[34]  W. Dong,et al.  Analyses on the climate change responses over China under SRES B2 scenario using PRECIS , 2006 .

[35]  Z. Qiang,et al.  Observed climatic changes in Shanghai during 1873–2002 , 2005 .

[36]  M. Kendall,et al.  Rank Correlation Methods , 1949 .

[37]  R. Hirsch,et al.  Techniques of trend analysis for monthly water quality data , 1982 .