Skip to main content

Advertisement

Log in

Spatial and temporal trends of reference crop evapotranspiration and its influential variables in Yangtze River Delta, eastern China

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

Reference crop evapotranspiration (ETo) is one of the most important links in hydrologic circulation and greatly affects regional agricultural production and water resource management. Its variation has drawn more and more attention in the context of global warming. We used the Penman-Monteith method of the Food and Agriculture Organization, based on meteorological factors such as air temperature, sunshine duration, wind speed, and relative humidity to calculate the ETo over 46 meteorological stations located in the Yangtze River Delta, eastern China, from 1957 to 2014. The spatial distributions and temporal trends in ETo were analyzed based on the modified Mann-Kendall trend test and linear regression method, while ArcGIS software was employed to produce the distribution maps. The multiple stepwise regression method was applied in the analysis of the meteorological variable time series to identify the causes of any observed trends in ETo. The results indicated that annual ETo showed an obvious spatial pattern of higher values in the north than in the south. Annual increasing trends were found at 34 meteorological stations (73.91 % of the total), which were mainly located in the southeast. Among them, 12 (26.09 % of the total) stations showed significant trends. We saw a dominance of increasing trends in the monthly ETo except for January, February, and August. The high value zone of monthly ETo appeared in the northwest from February to June, mid-south area from July to August, and southeast coastal area from September to January. The research period was divided into two stages—stage I (1957–1989) and stage II (1990–2014)—to investigate the long-term temporal ETo variation. In stage I, almost 85 % of the total stations experienced decreasing trends, while more than half of the meteorological stations showed significant increasing trends in annual ETo during stage II except in February and September. Relative humidity, wind speed, and sunshine duration were identified as the most dominant meteorological variables influencing annual ETo changes. The results are expected to assist water resource managers and policy makers in making better planning decisions in the research region.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Allen RG (2000) REF-ET, reference evapotranspiration calculator version Windows 2.0. User’s manual. University of Idaho Research and Extension Center, Kimberly, ID

    Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guideline for computing crop water requirement. FAO irrigation and drainage paper no. 56. Food and Agriculture Organization, Italy

    Google Scholar 

  • Bandyopadhayay A, Bhadra A, Raghuwanshi NS, Singh R (2009) Temporal trends in estimates of reference evapotranspiration over India. J Hydrol Eng 14(5):508–518

    Article  Google Scholar 

  • Blaney HP, Criddle WD, Blaney HF, et al. (1950) Determining water requirements in irrigated areas from climatological and irrigation data. In: Tech Paper 96. USDA Soil of Conservation Service. The Conterminous United States. Colorado State University, Fort Collins, CO

  • Burn DH, Hesch NM (2007) Trends in evaporation for the Canadian prairies. J Hydrol 336(1–2):61–73

    Article  Google Scholar 

  • Chen X, Liu X, Zhou G, Han L, Liu W, Liao J (2015) 50-year evapotranspiration declining and potential causations in subtropical Guangdong province, southern China. Catena 128:185–194

    Article  Google Scholar 

  • Chi Y, Zhang C, Liang C, Wu H (2013) The precipitation changes in eastern forest regions of China in recent 50 years. Acta Ecol Sin 33:217–226

    Article  Google Scholar 

  • Chun KP, Wheater HS, Onof C (2012) Projecting and hind casting potential evaporation for the UK between 1950 and 2099. Clim Chang 113:639–661

    Article  Google Scholar 

  • Cristea NC, Kampf SK, Burges SJ (2012) Linear models for estimating annual and growing season reference evapotranspiration using averages of weather variables. Int J Climatol 33(2):376–387

    Article  Google Scholar 

  • Croitoru AE, Piticar A, Dragota CS, Burada DC (2013) Recent changes in reference evapotranspiration in Romania. Glob Planet Chang 111:127–132

    Article  Google Scholar 

  • Dinpashoh Y, Jhajharia D, Fajheri-Fard A, Singh VP, Kahya E (2011) Trends in reference crop evapotranspiration over Iran. J Hydro 399:422–433. doi:10.1016/j.jhydrol.2011.01.021

    Article  Google Scholar 

  • Feng J, Yan D, Li C, Yu F, Zhang C (2014) Assessing the impact of climatic factors on potential evapotranspiration in droughts in North China. Quatern Int 336:6–12

    Article  Google Scholar 

  • Gao G, Chen D, Ren G, et al. (2006) Trend of potential evapotranspiration over China during 1956 to 2000. Geographic Res 25(3):378–387 in Chinese

    Google Scholar 

  • Goyal RK (2004) Sensitivity of evapotranspiration to global warming: a case study of arid zone of Rajasthan (India. Agric Water Manag 69(1):1–11

    Article  Google Scholar 

  • Jhajharia D, Shrivastava SK, Sarkar D, Sarkar S (2009) Temporal characteristics of pan evaporation trends under the humid conditions of northeast India. Agric For Meteorol 149:763–770

    Article  Google Scholar 

  • Jones DA, Wang W, Fawcett R (2009) High-quality spatial climate data-sets for Australia. Aust Meteorol Ocean 58(4):233–248

    Article  Google Scholar 

  • Kendall MG (1975) Rank correlation methods. Griffin, London

    Google Scholar 

  • Lawrimore JH, Peterson TC (2000) Pan evaporation trend in dry and humid regions of the United States. J Hydrometeorol 1(6):543–546

    Article  Google Scholar 

  • Liang LQ, Li LJ, Liu Q (2010) Temporal variation of reference evapotranspiration during 1961-2005 in the Taoer River basin of Northeast China. Agric For Meteorol 150(2):298–306

    Article  Google Scholar 

  • Lins HF, Slack JR (2005) Seasonal and regional characteristics of US stream flow trends in the United States from 1940 to 1999. Phys Geogr 26(6):489–501

    Article  Google Scholar 

  • Liu Q, Yang Z (2010) Quantitative estimation of the impact of climate change on actual evapotranspiration in the Yellow River Basin, China. J Hydrol 395:226–234

    Article  Google Scholar 

  • Liu Q, Yang Z, Cui B, Sun T (2010) The temporal trends of reference evapotranspiration and its sensitivity to key meteorological variables in the Yellow River Basin, China. Hydrol Process 24(15):2171–2181

    Google Scholar 

  • Ma XN, Zhang MJ, Li YJ, Wang SJ, Ma Q, Liu WL (2012) Decreasing potential evapotranspiration in the Huanghe River watershed in climate warming during 1960–2010. J Geogr Sci 22(6):977–988

    Article  Google Scholar 

  • Mann HB (1945) Nonparametric tests against trend. Econometrica 13(3):245–259

    Article  Google Scholar 

  • Monteith JL (1965) Evaporation and environment. Symp Soc for Exp Biol 19:205–234

    Google Scholar 

  • Nam W, Hong E, Choi J (2015) Has climate change already affected the spatial distribution and temporal trends of reference evapotranspiration in South Korea? Agric Water Manag 150:129–138

    Article  Google Scholar 

  • Ozdogan M, Salvucci GD (2004) Irrigation-induced changes in potential evapotranspiration in southeastern Turkey: test and application of Boucher’s complementary hypothesis. Water Resour Res 40(4). doi:10.1029/2003WR002822

  • Penman HL (1948) Natural evaporation from open water, bare soil and grass. Proc R Soc Lond 193:120–145

    Article  Google Scholar 

  • Price DT, McKenny DW, Nalder IA, Hutchinson MF, Kesteven JL (2000) A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data. Agric For Meteorol 101:81–94

    Article  Google Scholar 

  • Priestley CH, Taylor RJ (1972) On the assessment of surface heat flux and evaporation using larger-scale parameters. Mon Weather Rev 100(2):81–92

    Article  Google Scholar 

  • Ren GY, Guo J, Xu ZM, Chu ZY, Zhang L, Zou XK, Li QX, Liu XN (2005) Climate change of China’s mainland over the last half century. Acta Meterol Sin 63:942–956 in Chinese

    Google Scholar 

  • Roderick ML, Farquhar GD (2004) Changes in Australian pan evaporation from 1970 to 2002. Int J Climatol 24(9):1077–1090

    Article  Google Scholar 

  • Roderick ML, Rostayn LD, Farquhar GD, Hobbins MT (2007) On the attribution of changing pan evaporation. Geophys Res Lett 34(17):403. doi:10.1029/2007GL031166

    Article  Google Scholar 

  • Sahoo D, Smith PK (2009) Hydro climatic trend detection in a rapidly urbanizing semi-arid and coastal river basin. J Hydrol 367:217–224

    Article  Google Scholar 

  • Shan N, Shi Z, Yang X, Gao J, Cai D (2015) Spatiotemporal trends of reference evapotranspiration and its driving factors in the Beijing–Tianjin Sand Source Control Project Region, China. Agric For Meteorol 200:322–333. doi:10.1016/j.agrformet.2014.10.008

    Article  Google Scholar 

  • Streets DG, Yu C, Wu Y, Chin M, Zhao ZC, Hayasaka T, Shi GY (2008) Aerosol trends over China, 1980–2000. Atmos Res 88(2):174–182

    Article  Google Scholar 

  • Tang B, Tong L, Kang SZ, Zhang L (2011) Impacts of climate variability on reference evapotranspiration over 58 years in the Haihe river basin of North China. Agric Water Manag 98:1660–1670

    Article  Google Scholar 

  • Tayanc M, Karaca M, Yenigun O (1997) Annual and seasonal air temperature trend patterns of climate change and urbanization effects in relation to air pollutants in Turkey. J Geophys Res 102(D2):1909–1919

    Article  Google Scholar 

  • Thomas A (2000) Spatial and temporal characteristics of potential evapotranspiration trends over China. Int J Climatol 20:381–396

    Article  Google Scholar 

  • Thornthwaite CW (1948) An approach toward a rational classification of climate. Geographic Rev 38:55–94

    Article  Google Scholar 

  • Wang W, Peng S, Yang T, Shao Q, Xu J, Xing W (2011) Spatial and temporal characteristics of reference evapotranspiration trends in the Haihe River basin, China. J Hydrol Eng 16(3):239–252

    Article  Google Scholar 

  • Xu CY, Gong LB, Jiang T, Chen DL, Singh VP (2006) Analysis of spatial distribution and temporal trend of reference evapotranspiration and pan evaporation in Changjiang (Yangtze River) catchment. J Hydrol 327:81–93

    Article  Google Scholar 

  • Yang Y, Zhang Z, Xiang X (2009) Spatial variation of reference crop evapotranspiration on Tibetan Plateau. Water. Sci Eng 2(1):112–120

    Article  Google Scholar 

  • Yang JY, Liu Q, Mei XR, Yan CR, Ju H, Xue JW (2013) Spatiotemporal characteristics of reference evapotranspiration and its sensitivity coefficients to climate factors in Huang-Huai-Hai Plain, China. J Integr Agric 12(12):2280–2291

    Article  Google Scholar 

  • Yin YH, Wu SH, Dai EF (2010) Determining factors in potential evapotranspiration changes over China in the period 1971–2008. Chin Sci Bull 55(29):3329–3337. doi:10.1007/s11434-010-3289-y

    Article  Google Scholar 

  • Yue S, Wang C (2004) The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series. Water Resources Manag 18:201–218

    Article  Google Scholar 

  • Zhang X, Harvey KD, Hogg WD, Yuzyk TR (2001) Trends in Canadian stream flow. Water Resources Res 37(4):987–998

    Article  Google Scholar 

  • Zhang X, Kang S, Zhang L, Liu J (2010) Spatial variations of climatology monthly crop reference evapotranspiration and sensitivity coefficients in Shiyang river basin of northwest China. Agr. Water Manage 97:1506–1516

    Article  Google Scholar 

  • Zhang Q, Xu C, Chen X (2011a) Reference evapotranspiration changes in China: natural processes or human influences? Theor Appl Climatol 103:479–488

    Article  Google Scholar 

  • Zhang Q, Xu C, Chen YD, Ren L (2011b) Comparison of evapotranspiration variations between the Yellow River and Pearl River basin, China. Stoch Environ Res Risk Assess 25:139–150

    Article  Google Scholar 

  • Zhang Q, Qi T, Li J, Singh VP, Wang Z (2015) Spatiotemporal variations of pan evaporation in China during 1960–2005: changing patterns and causes. Int J Climatol 35:903–912

    Article  Google Scholar 

  • Zhao Y, Zou X, Zhang J, Cao L, Xu X, Zhang K, Chen Y (2014) Spatio-temporal variation of reference evapotranspiration and aridity index in the Loess Plateau Region of China, during 1961-2012. Quatern. Int. 349:196–206

    Article  Google Scholar 

Download references

Acknowledgments

This research was funded by the National Key Research and Development Plan of China (No. 2016YFC0401502), National Natural Science Foundation of China (No. 41371046), Commonweal and Specialized Program for Scientific Research, Ministry of Water Resources of China (No. 201201072), the Natural Science Foundation of Jiangsu Province (No. BK20131276), and the Water Conservancy Science Foundation of Jiangsu Province (No. 2015003). Thanks to the National Meteorological Information Center, China Meteorological Administration for offering the meteorological data. The authors would like to thank the two anonymous reviews and editor for their constructive criticism and valuable comments to improve the quality of the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Youpeng Xu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, Y., Xu, Y., Wang, Y. et al. Spatial and temporal trends of reference crop evapotranspiration and its influential variables in Yangtze River Delta, eastern China. Theor Appl Climatol 130, 945–958 (2017). https://doi.org/10.1007/s00704-016-1928-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-016-1928-1

Keywords

Navigation