Skip to main content
Log in

Quantitative Trend, Sensitivity and Contribution Analyses of Reference Evapotranspiration in some Arid Environments under Climate Change

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

The temporal trend of reference crop evapotranspiration (ET0) and contribution of associated meteorological factors to the ET0 trend were assessed for 17 arid areas. Sensitivity of ET0 to changes in key meteorological variables was also analyzed. To study temporal trend of ET0, Mann-Kendall trend test was employed. Quantitative contribution and sensitivity analyses were carried out, respectively, using a dimensionless relative sensitivity coefficient and detrending method. Results indicated that ET0 has an increasing trend in 70.6, 64.7, 70.6, 76.5 and 70.0%, of sites respectively, in winter, spring, summer, autumn and entire year. This positive trend was significant (p ≤ 0.05) in 47.0, 35.3, 35.3, 29.4 and 35.3% of sites, respectively, for the same seasons. There was a significant change-point in winter, spring, summer, autumn and annual ET0 series at 64.7, 52.9, 64.7, 64.7 and 82.3% of stations, respectively. In 35.3 and 35.3% of sites, solar radiation and wind speed were the most sensitive climatic factors on ET0, respectively. ET0 exhibited the highest sensitivity to the relative humidity changes in coastal sites. Changes of wind speed contributed much more than other factors to the annual ET0 trend in 58.8% of investigated sites. The negative trend in wind speed nearly nullified the positive effects of increased air temperature on ET0 over 1966–2012 in 23.5% of stations. Changes in ET0 were attributed to wind speed changes in most locations. Given the upward trend of ET0 in the majority of locations, proper water management is required to avoid negative impacts of climate change in arid regions.

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

Similar content being viewed by others

References

  • Al-Faraj FAM, Tigkas D, Scholz M (2016) Irrigation efficiency improvement for sustainable agriculture in changing climate: a transboundary watershed between Iraq and Iran. Environmental Process 3:603–616

    Google Scholar 

  • Alizadeh A, Keshavarz A (2005) Status of agricultural water use in Iran. In: Water conservation, reuse, and recycling: proceedings of an Iranian-American workshop. National Academies Press, Washington DC, pp 94–105

    Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration-guidelines for computing crop water requirements-FAO irrigation and drainage paper 56. FAO, Rome 300:6541

    Google Scholar 

  • Busuioc A, von Storch H (1996) Changes in the winter precipitation in Romania and its relation to the large-scale circulation. Tellus A 48:538–552

    Article  Google Scholar 

  • Chen D, Gao G, Xu C-Y, Guo J, Ren G (2005) Comparison of the Thornthwaite method and pan data with the standard Penman-Monteith estimates of reference evapotranspiration in China. Clim Res 28:123–132

    Article  Google Scholar 

  • Debnath S, Adamala S, Raghuwanshi NS (2015) Sensitivity analysis of FAO-56 Penman-Monteith method for different agro-ecological regions of India. Environ Process 2:689–704. doi:10.1007/s40710-015-0107-1

    Article  Google Scholar 

  • Dinpashoh Y, Jhajharia D, Fakheri-Fard A, Singh VP, Kahya E (2011) Trends in reference crop evapotranspiration over Iran. J Hydrol 399:422–433

    Article  Google Scholar 

  • Estévez J, Gavilán P, Berengena J (2009) Sensitivity analysis of a Penman–Monteith type equation to estimate reference evapotranspiration in southern Spain. Hydrol Process 23:3342–3353. doi:10.1002/hyp.7439

    Article  Google Scholar 

  • Gao Z, He J, Dong K, Bian X, Li X (2016) Sensitivity study of reference crop evapotranspiration during growing season in the West Liao River basin, China. Theor Appl Climatol 124:865–881

    Article  Google Scholar 

  • Godfray HCJ, Beddington JR, Crute IR, Haddad L, Lawrence D, Muir JF, Pretty J, Robinson S, Thomas SM, Toulmin C (2010) Food security: the challenge of feeding 9 billion people. Science 327:812–818

    Article  Google Scholar 

  • Gong L, Xu C-y, Chen D, Halldin S, Chen YD (2006) Sensitivity of the Penman–Monteith reference evapotranspiration to key climatic variables in the Changjiang (Yangtze River) basin. J Hydrol 329:620–629

    Article  Google Scholar 

  • Homaee M, Dirksen C, Feddes R (2002) Simulation of root water uptake: I. Non-uniform transient salinity using different macroscopic reduction functions. Agric Water Manag 57:89–109

    Article  Google Scholar 

  • Homaee M, Schmidhalter U (2008) Water integration by plants root under non-uniform soil salinity. Irrig Sci 27:83–95

    Article  Google Scholar 

  • Huo Z, Dai X, Feng S, Kang S, Huang G (2013) Effect of climate change on reference evapotranspiration and aridity index in arid region of China. J Hydrol 492:24–34

    Article  Google Scholar 

  • Hupet F, Vanclooster M (2001) Effect of the sampling frequency of meteorological variables on the estimation of the reference evapotranspiration. J Hydrol 243:192–204

    Article  Google Scholar 

  • IPCC (2013) Climate change 2013: the physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge and New York

    Google Scholar 

  • Irmak S, Payero JO, Martin DL, Irmak A, Howell TA (2006) Sensitivity analyses and sensitivity coefficients of standardized daily ASCE-Penman-Monteith equation. J Irrig Drain Eng 132:564–578

    Article  Google Scholar 

  • Kaniewski D, Van Campo E, Weiss H (2012) Drought is a recurring challenge in the Middle East. Proc Natl Acad Sci 109:3862–3867

    Article  Google Scholar 

  • Kite G, Droogers P (2000) Comparing evapotranspiration estimates from satellites, hydrological models and field data. J Hydrol 229:3–18

    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 24:2171–2181

    Article  Google Scholar 

  • Maestro T, Nicolosi V, Cancelliere A, Bielza M (2014) Impacts of climate change, hydrological drought mitigation measures and irrigation demand on water supply system performance. Eur Water 45(46):25–33

    Google Scholar 

  • McCuen RH (1974) A sensitivity and error analysis cf procedures used for estimating evaporation. JAWRA J Am Water Resour Assoc 10:486–497. doi:10.1111/j.1752-1688.1974.tb00590.x

    Article  Google Scholar 

  • Modarres R, Sarhadi A (2009) Rainfall trends analysis of Iran in the last half of the twentieth century. J Geophys Res Atmos 114:D03101. doi:10.1029/2008JD010707

  • Monteith J, Unsworth M (2013) Principles of environmental physics: plants, animals, and the atmosphere (Fourth Edition). Academic Press, Boston

  • Mosaedi A, Sough MG, Sadeghi S-H, Mooshakhian Y, Bannayan M (2016) Sensitivity analysis of monthly reference crop evapotranspiration trends in Iran: a qualitative approach. Theor Appl Climatol:1-17. doi:10.1007/s00704-016-1740-y

  • Nouri M, Homaee M, Bannayan M, Hoogenboom G (2016) Towards modeling soil texture-specific sensitivity of wheat yield and water balance to climatic changes. Agric Water Manag 177:248–263. doi:10.1016/j.agwat.2016.07.025

    Article  Google Scholar 

  • Pettitt A (1979) A non-parametric approach to the change-point problem. Appl Stat 28:126–135

    Article  Google Scholar 

  • Roderick ML, Rotstayn LD, Farquhar GD, Hobbins MT (2007) On the attribution of changing pan evaporation. Geophys Res Lett 34:L17403. doi:10.1029/2007GL031166

  • Saxton KE (1975) Sensitivity analyses of the combination evapotranspiration equation. Agric Meteorol 15:343–353

    Article  Google Scholar 

  • Seneviratne SI, Corti T, Davin EL, Hirschi M, Jaeger EB, Lehner I, Orlowsky B, Teuling AJ (2010) Investigating soil moisture–climate interactions in a changing climate: a review. Earth-Sci Rev 99:125–161

    Article  Google Scholar 

  • Shan N, Shi Z, Yang X, Zhang X, Guo H, Zhang B, Zhang Z (2015) Trends in potential evapotranspiration from 1960 to 2013 for a desertification-prone region of China. Int J Climatol 36:3434–3445

    Article  Google Scholar 

  • Sharifi A, Dinpashoh Y (2014) Sensitivity analysis of the Penman-Monteith reference crop evapotranspiration to climatic variables in Iran. Water Resour Manag 28:5465–5476. doi:10.1007/s11269-014-0813-x

    Article  Google Scholar 

  • Shenbin C, Yunfeng L, Thomas A (2006) Climatic change on the Tibetan Plateau: potential evapotranspiration trends from 1961–2000. Clim Chang 76:291–319. doi:10.1007/s10584-006-9080-z

    Article  Google Scholar 

  • Some'e BS, Ezani A, Tabari H (2012) Spatiotemporal trends and change point of precipitation in Iran. Atmos Res 113:1–12

    Article  Google Scholar 

  • Song Y, Su XL (2015) Sensitivity of reference crop evapotranspiration in Shaanxi Province. In: Zhou P, Patty A (eds) Applied mechanics and materials, vol 700. Trans Tech Publ, Zurich, pp 374–385

    Google Scholar 

  • Tabari H, Talaee PH (2011) Analysis of trends in temperature data in arid and semi-arid regions of Iran. Glob Planet Chang 79:1–10

    Article  Google Scholar 

  • UNEP (1992) World atlas of desertification. United Nations Environment Programme, London

    Google Scholar 

  • Xie H, Zhu X (2013) Reference evapotranspiration trends and their sensitivity to climatic change on the Tibetan Plateau (1970–2009). Hydrol Process 27:3685–3693

    Article  Google Scholar 

  • Xie H, Zhu X, Yuan DY (2015) Pan evaporation modelling and changing attribution analysis on the Tibetan Plateau (1970–2012). Hydrol Process 29:2164–2177

    Article  Google Scholar 

  • Xu C-y, Gong L, Jiang T, Chen D, 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. doi:10.1016/j.jhydrol.2005.11.029

    Article  Google Scholar 

  • You G, Zhang Y, Liu Y, Song Q, Lu Z, Tan Z, Wu C, Xie Y (2013) On the attribution of changing pan evaporation in a nature reserve in SW China. Hydrol Process 27:2676–2682. doi:10.1002/hyp.9394

    Article  Google Scholar 

  • Yue S, Pilon P, Phinney B, Cavadias G (2002) The influence of autocorrelation on the ability to detect trend in hydrological series. Hydrol Process 16:1807–1829

    Article  Google Scholar 

  • Zhang Y, Liu C, Tang Y, Yang Y (2007) Trends in pan evaporation and reference and actual evapotranspiration across the Tibetan Plateau. J Geophys Res Atmos 112:D12110. doi:10.1029/2006JD008161

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mehdi Homaee.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nouri, M., Homaee, M. & Bannayan, M. Quantitative Trend, Sensitivity and Contribution Analyses of Reference Evapotranspiration in some Arid Environments under Climate Change. Water Resour Manage 31, 2207–2224 (2017). https://doi.org/10.1007/s11269-017-1638-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-017-1638-1

Keywords

Navigation