Temporal and spatial patterns of low-flow changes in the Yellow River in the last half century

Low-flow is widely regarded as the primary flow conditions for the anthropogenic and aquatic communities in most rivers, particularly in such an arid and semi-arid area as the Yellow River. This study presents a method integrating Mann–Kendall trend test, wavelet transform analysis and spatial mapping techniques to identify the temporal and spatial patterns of low-flow changes in the Yellow River (1955–2005). The results indicate that: (1) no trend can be identified in the major low-flow conditions in the upper Yellow River, but downward trends can be found in the middle and lower Yellow River; (2) similar periodic patterns are detected in the 7-day minima (AM7Q) in the upper and middle Yellow River, while different patterns are found in the lower Yellow River; (3) the increasing coefficients of variance in the primary low-flow conditions suggest that the variability of the low-flow is increasing from the upper to lower stream; (4) climate change and uneven temporal-spatial patterns of precipitation, jointly with highly intensified water resource utilization, are recognized as the major factors that led to the decrease of low-flow in the lower Yellow River in recent decades. The current investigation should be helpful for regional water resources management in the Yellow River basin, which is characterized by serious water shortage.

[1]  Yan Zeng,et al.  Changes of Pan Evaporation in the Recent 40 Years in the Yellow River Basin , 2004 .

[2]  D. Molden,et al.  Yellow river comprehensive assessment: basin features and issues. , 2003 .

[3]  Jiongxin Xu,et al.  River sedimentation and channel adjustment of the lower Yellow River as influenced by low discharges and seasonal channel dry-ups , 2002 .

[4]  Klaus Fraedrich,et al.  Historic climate variability of wetness in East China (960-1992) : A wavelet analysis , 1997 .

[5]  E. Kahya,et al.  Trend analysis of streamflow in Turkey , 2004 .

[6]  Chong-Yu Xu,et al.  Hydrologic alteration along the Middle and Upper East River (Dongjiang) basin, South China: a visually enhanced mining on the results of RVA method , 2010 .

[7]  Marc B. Parlange,et al.  Intermittency in Atmospheric Surface Layer Turbulence: The Orthonormal Wavelet Representation , 1994 .

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

[9]  X. Jiong-xin High-Frequency Zone of River Desiccation Disasters in China and Influencing Factors , 2001, Environmental management.

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

[11]  Liansheng Yu The Huanghe (Yellow) River: Recent changes and its countermeasures , 2006 .

[12]  G. Bradshaw,et al.  Detecting climate-induced patterns using wavelet analysis. , 1994, Environmental pollution.

[13]  N. Clifford,et al.  Identifying and alleviating low flows in regulated rivers: the case of the rivers Bulbourne and Gade, Hertfordshire, UK. , 2000 .

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

[15]  Praveen Kumar,et al.  Wavelets in Geophysics , 1994 .

[16]  Bai-lian Li,et al.  Wavelet Analysis of Coherent Structures at the Atmosphere-Forest Interface. , 1993 .

[17]  A study into the low-flow characteristics of British rivers , 1977 .

[18]  T. Jiang,et al.  Spatiotemporal analysis of precipitation trends in the Yangtze River catchment , 2006 .

[19]  Hongxing Zheng,et al.  Changes in components of the hydrological cycle in the Yellow River basin during the second half of the 20th century , 2004 .

[20]  Chong-yu Xu,et al.  Spatio-temporal changes of hydrological processes and underlying driving forces in Guizhou region, Southwest China , 2009 .

[21]  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 .

[22]  Klaus Fraedrich,et al.  Multiscale detection of abrupt climate changes: application to River Nile flood levels , 1997 .

[23]  Gerald van Belle,et al.  Nonparametric Tests for Trend in Water Quality , 1984 .

[24]  Donald O. Whittemore,et al.  Non-parametric trend analysis of water quality data of rivers in Kansas , 1993 .

[25]  W. Guo-qing Analysis on Water Resources Variation Tendency in the Yellow River , 2001 .

[26]  Q. Shao,et al.  Changes in stream flow regime in headwater catchments of the Yellow River basin since the 1950s , 2007 .

[27]  Ingolf Kühn,et al.  Analyzing spatial ecological data using linear regression and wavelet analysis , 2008 .

[28]  V. Smakhtin Low flow hydrology: a review , 2001 .

[29]  L. Changming Problems in management of the Yellow river , 1989 .

[30]  Jamie Hannaford,et al.  An assessment of trends in UK runoff and low flows using a network of undisturbed catchments , 2006 .

[31]  Chong-Yu Xu,et al.  A spatial assessment of hydrologic alteration caused by dam construction in the middle and lower Yellow River, China , 2008 .

[32]  Chong-Yu Xu,et al.  Possible influence of ENSO on annual maximum streamflow of the Yangtze River, China , 2007 .

[33]  Margriet Nakken,et al.  Wavelet analysis of rainfall-runoff variability isolating climatic from anthropogenic patterns , 1999, Environ. Model. Softw..

[34]  David P. Braun,et al.  A Method for Assessing Hydrologic Alteration within Ecosystems , 1996 .

[35]  X. Chen,et al.  Regional flood frequency and spatial patterns analysis in the Pearl River Delta region using L-moments approach , 2010 .

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

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

[38]  Lu Zhang,et al.  Hydrological responses to conservation practices in a catchment of the Loess Plateau, China , 2004 .