Spatiotemporal variation of reference evapotranspiration during 1954–2013 in Southwest China

Abstract Analysis of temporal trend and spatial variation of reference evapotranspiration (ET0) is important in Southwest China, where water resources are vulnerable under the impacts of climate changes and human activities. The main objective of this study was to analyze temporal and spatial variation of ET0 computed by FAO-56 Penman-Monteith model for 119 stations in Southwest China during the period of 1954–2013. Mann-Kendall test, linear trend, Morlet wavelet analysis and inverse distance weighting interpolation methods were applied for the analysis. The results showed that during the past 60 years, annual sunshine hours, relative humidity, wind speed and precipitation decreased while temperature increased. ET0 decreased at a rate of −1.5 mm per decade, or −0.4, −0.7, −0.3, and −0.1 mm per decade in spring, summer, autumn, and winter, respectively. There existed significant periods of 26, 12 and 5a in annual ET0 series based on the Morlet wavelet analysis. Lower and higher ET0 values were found in the northeast and southwest regions both for annual and spring series. These findings will be useful for sustainable planning of water resources under the impacts of climate changes and human activities.

[1]  X. Y. Zhang,et al.  Analysis of 40 years of solar radiation data from China, 1961–2000 , 2005 .

[2]  Klaus Fraedrich,et al.  Changes of pan evaporation and reference evapotranspiration in the Yangtze River basin , 2007 .

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

[4]  Regional complexity in trends of potential evapotranspiration and its driving factors in the Upper Mekong River Basin , 2015 .

[5]  Nan Zhongren,et al.  Methods for modelling of temporal and spatial distribution of air temperature at landscape scale in the southern Qilian mountains, China , 2005 .

[6]  Judith C. Chow,et al.  Spatial and seasonal distributions of carbonaceous aerosols over China , 2007 .

[7]  K. E. Skaggs,et al.  Trend and magnitude of changes in climate variables and reference evapotranspiration over 116-yr period in the Platte River Basin, central Nebraska–USA , 2012 .

[8]  Shaoming Pan,et al.  Influence of climate change on reference evapotranspiration and aridity index and their temporal-spatial variations in the Yellow River Basin, China, from 1961 to 2012 , 2015 .

[9]  Xixi Lu,et al.  Larger Asian rivers: Climate, hydrology and ecosystems , 2011 .

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

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

[12]  Z. Huo,et al.  Effect of climate change on reference evapotranspiration and aridity index in arid region of China , 2013 .

[13]  Yiping Li,et al.  Characteristics of the regional meteorological drought events in Southwest China during 1960–2010 , 2014, Journal of Meteorological Research.

[14]  Y. Lian,et al.  Characteristics of climate change in southwest China karst region and their potential environmental impacts , 2015, Environmental Earth Sciences.

[15]  Shaozhong Kang,et al.  Spatial variation of climatology monthly crop reference evapotranspiration and sensitivity coefficients in Shiyang river basin of northwest China , 2010 .

[16]  Lifeng Wu,et al.  Climate change effects on reference crop evapotranspiration across different climatic zones of China during 1956–2015 , 2016 .

[17]  C. Long,et al.  From Dimming to Brightening: Decadal Changes in Solar Radiation at Earth's Surface , 2005, Science.

[18]  T. Peterson,et al.  Evaporation losing its strength , 1995, Nature.

[19]  D. Rayner,et al.  Wind Run Changes: The Dominant Factor Affecting Pan Evaporation Trends in Australia , 2007 .

[20]  Ignacio J. Lorite,et al.  An analysis of the tendency of reference evapotranspiration estimates and other climate variables during the last 45 years in Southern Spain , 2011 .

[21]  Shaoli Wang,et al.  Decreasing potential evaporation trends in China from 1956 to 2005: Accelerated in regions with significant agricultural influence? , 2012 .

[22]  Martin Wild,et al.  Global dimming and brightening: A review , 2009 .

[23]  E. Dai,et al.  Attribution analyses of potential evapotranspiration changes in China since the 1960s , 2010 .

[24]  Jun Yu Li,et al.  Quantifying the interactive impacts of global dimming and warming on wheat yield and water use in China , 2013 .

[25]  Vijay P. Singh,et al.  Evaluation of three complementary relationship evapotranspiration models by water balance approach to estimate actual regional evapotranspiration in different climatic regions , 2005 .

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

[27]  J. Valiantzas Simplified forms for the standardized FAO-56 Penman-Monteith reference evapotranspiration using limited weather data , 2013 .

[28]  Kelin Wang,et al.  Quantifying the impacts of climate and human activities on water and sediment discharge in a karst region of southwest China , 2016 .

[29]  Yongqiang Zhang,et al.  Quantifying the effects of climate trends in the past 43 years (1961–2003) on crop growth and water demand in the North China Plain , 2010 .

[30]  Tim Li,et al.  Cause of severe droughts in Southwest China during 1951–2010 , 2014, Climate Dynamics.

[31]  H. Hong,et al.  Assessing the effect of climate change on reference evapotranspiration in China , 2013, Stochastic Environmental Research and Risk Assessment.

[32]  Richard R. Heim,et al.  Are droughts becoming more frequent or severe in China based on the Standardized Precipitation Evapotranspiration Index: 1951–2010? , 2011 .

[33]  Yanhong Tang,et al.  Trends in pan evaporation and reference and actual evapotranspiration across the Tibetan Plateau , 2007 .

[34]  Jia Yue,et al.  Calibration of Hargreaves model for reference evapotranspiration estimation in Sichuan basin of southwest China , 2017 .

[35]  R. López-Urrea,et al.  Testing evapotranspiration equations using lysimeter observations in a semiarid climate , 2006 .

[36]  Shaozhong Kang,et al.  Impacts of climate variability on reference evapotranspiration over 58 years in the Haihe river basin of north China , 2011 .

[37]  Quanxi Shao,et al.  Spatial and Temporal Characteristics of Reference Evapotranspiration Trends in the Haihe River Basin, China , 2011 .

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

[39]  Yingying Chen,et al.  Changes in aridity index and reference evapotranspiration over the central and eastern Tibetan Plateau in China during 1960–2012 , 2014 .

[40]  Y. Qian,et al.  More frequent cloud‐free sky and less surface solar radiation in China from 1955 to 2000 , 2005 .

[41]  Yaning Chen,et al.  Spatial and temporal patterns of climate variations in the Kaidu River Basin of Xinjiang, Northwest China , 2013 .

[42]  Yu Feng,et al.  Comparison of ELM, GANN, WNN and empirical models for estimating reference evapotranspiration in humid region of Southwest China , 2016 .

[43]  Junichi Yoshitani,et al.  Time-Space Trend Analysis in Pan Evaporation over Kingdom of Thailand , 2005 .

[44]  Wenzhao Liu,et al.  Spatiotemporal characteristics of reference evapotranspiration during 1961-2009 and its projected changes during 2011-2099 on the Loess Plateau of China , 2012 .

[45]  Y. Qian,et al.  Variability of solar radiation under cloud‐free skies in China: The role of aerosols , 2007 .

[46]  Ozgur Kisi,et al.  Modeling reference evapotranspiration using three different heuristic regression approaches , 2016 .

[47]  Weiguang Wang,et al.  Reference evapotranspiration change and the causes across the Yellow River Basin during 1957–2008 and their spatial and seasonal differences , 2012 .

[48]  Dan Zhang,et al.  Trend analysis of reference evapotranspiration in Northwest China: The roles of changing wind speed and surface air temperature , 2013 .

[49]  Z. Fan,et al.  Spatiotemporal variability of reference evapotranspiration and its contributing climatic factors in Yunnan Province, SW China, 1961–2004 , 2012, Climatic Change.