Temporal variations of reference evapotranspiration and its sensitivity to meteorological factors in Heihe River Basin, China

Abstract On the basis of daily meteorological data from 15 meteorological stations in the Heihe River Basin (HRB) during the period from 1959 to 2012, long-term trends of reference evapotranspiration ( E T 0 ) and key meteorological factors that affect E T 0 were analyzed using the Mann-Kendall test. The evaporation paradox was also investigated at 15 meteorological stations. In order to explore the contribution of key meteorological factors to the temporal variation of E T 0 , a sensitivity coefficient method was employed in this study. The results show that: (1) mean annual air temperature significantly increased at all 15 meteorological stations, while the mean annual E T 0 decreased at most of sites; (2) the evaporation paradox did exist in the HRB, while the evaporation paradox was not continuous in space and time; and (3) relative humidity was the most sensitive meteorological factor with regard to the temporal variation of E T 0 in the HRB, followed by wind speed, air temperature, and solar radiation. Air temperature and solar radiation contributed most to the temporal variation of E T 0 in the upper reaches; solar radiation and wind speed were the determining factors for the temporal variation of E T 0 in the middle-lower reaches.

[1]  K. Bjorndal,et al.  Historical Overfishing and the Recent Collapse of Coastal Ecosystems , 2001, Science.

[2]  P. Gavilán,et al.  Sensitivity analysis of a Penman–Monteith type equation to estimate reference evapotranspiration in southern Spain , 2009 .

[3]  M. Roderick,et al.  Changes in Australian pan evaporation from 1970 to 2002 , 2004 .

[4]  M. Roderick,et al.  The cause of decreased pan evaporation over the past 50 years. , 2002, Science.

[5]  Axel Thomas,et al.  Spatial and temporal characteristics of potential evapotranspiration trends over China , 2000 .

[6]  Chesheng Zhan,et al.  Quantitative estimation of land surface evapotranspiration in Taiwan based on MODIS data , 2011 .

[7]  A. Flocas,et al.  Air temperature variations in Greece. Part 1. Persistence, trend, and fluctuations , 1984 .

[8]  Ashish Pandey,et al.  Analysing trends in reference evapotranspiration and weather variables in the Tons River Basin in Central India , 2013, Stochastic Environmental Research and Risk Assessment.

[9]  Air temperature variations in Greece. Part 2. Spectral analysis , 1984 .

[10]  F. Pan,et al.  Effects of Y addition on as-cast microstructure and mechanical properties of Mg–3Sn–2Ca (wt.%) magnesium alloy , 2009 .

[11]  Vincent R. Gray Climate Change 2007: The Physical Science Basis Summary for Policymakers , 2007 .

[12]  A. Velichko,et al.  Paradoxes of the Last Interglacial climate: reconstruction of the northern Eurasia climate based on palaeofloristic data , 2008 .

[13]  Chong-yu Xu,et al.  Large-scale runoff generation – parsimonious parameterisation using high-resolution topography , 2010 .

[14]  Calibration of some empirical equations for evaporation and evapotranspiration in Hong Kong , 1989 .

[15]  S. Carpenter,et al.  Catastrophic shifts in ecosystems , 2001, Nature.

[16]  Chong-Yu Xu,et al.  Evapotranspiration estimation methods in hydrological models , 2013, Journal of Geographical Sciences.

[17]  I. Vardavas,et al.  Potential evaporation trends over land between 1983–2008: driven by radiative fluxes or vapour-pressure deficit? , 2011 .

[18]  Keith Beven,et al.  A sensitivity analysis of the Penman-Monteith actual evapotranspiration estimates , 1979 .

[19]  Shunlin Liang,et al.  Global Atmospheric Evaporative Demand over Land from 1973 to 2008 , 2012 .

[20]  Dawen Yang,et al.  Does evaporation paradox exist in China , 2009 .

[21]  Joseph Park,et al.  Climate change and its implications for water resources management in south Florida , 2011 .

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

[23]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[24]  S. Sjögersten,et al.  Responses to climate change and farming policies by rural communities in northern China: A report on field observation and farmers’ perception in dryland north Shaanxi and Ningxia , 2013 .

[25]  Liwei Zhang,et al.  Climate change trend and its effects on reference evapotranspiration at Linhe Station, Hetao Irrigation District , 2014 .

[26]  Spatial variation of reference crop evapotranspiration on Tibetan Plateau , 2009 .

[27]  I. Vardavas,et al.  Potential evaporation trends over land between 1983-2008: driven by radiative or turbulent fluxes? , 2011 .

[28]  W. Lucht,et al.  Terrestrial vegetation and water balance-hydrological evaluation of a dynamic global vegetation model , 2004 .

[29]  Ge Gao,et al.  Spatial and temporal variations and controlling factors of potential evapotranspiration in China: 1956–2000 , 2006 .

[30]  D. Lettenmaier,et al.  A simple hydrologically based model of land surface water and energy fluxes for general circulation models , 1994 .

[31]  Hong Yang,et al.  Spatiotemporal variations and abrupt changes of potential evapotranspiration and its sensitivity to key meteorological variables in the Wei River basin, China , 2012 .

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

[33]  Liao Yao-ming,et al.  Spatial and temporal variations and controlling factors of potential evapotranspiration in China: 1956-2000 , 2006 .

[34]  Kerstin Stahl,et al.  Have streamflow droughts in Europe become more severe or frequent? , 2001 .

[35]  R. H. McCuen,et al.  A SENSITIVITY AND ERROR ANALYSIS CF PROCEDURES USED FOR ESTIMATING EVAPORATION , 1974 .

[36]  Moustafa T. Chahine,et al.  The hydrological cycle and its influence on climate , 1992, Nature.

[37]  S. Wani,et al.  Evapotranspiration paradox at a semi-arid location in India. , 2011 .

[38]  Vijay P. Singh,et al.  Spatial and temporal characteristics of actual evapotranspiration over Haihe River basin in China , 2012, Stochastic Environmental Research and Risk Assessment.

[39]  M. B. Parlange,et al.  Hydrologic cycle explains the evaporation paradox , 1998, Nature.

[40]  Temporal changes of warm-season pan evaporation in a semi-arid basin in Western Turkey , 2013, Stochastic Environmental Research and Risk Assessment.