Skip to main content
Log in

Actual evapotranspiration of subalpine meadows in the Qilian Mountains, Northwest China

  • Published:
Journal of Arid Land Aims and scope Submit manuscript

Abstract

As a main component in water balance, evapotranspiration (ET) is of great importance for water saving, especially in arid and semi-arid areas. In this study, the FAO (Food and Agriculture Organization) Penman-Monteith model was used to estimate the magnitude and temporal dynamics of reference evapotranspiration (ET0) in 2014 in subalpine meadows of the Qilian Mountains, Northwest China. Meanwhile, actual ET (ETc) was also investigated by the eddy covariance (EC) system. Results indicated that ETc estimated by the EC System was 583 mm, lower than ET0 (923 mm) estimated by the FAO Penman-Monteith model in 2014. Moreover, ET0 began to increase in March and reached the peak value in August and then declined in September, however, ETc began to increase from April and reached the peak value in July, and then declined in August. Total ETc and ET0 values during the growing season (from May to September) were 441 and 666 mm, respectively, which accounted for 75.73% of annual cumulative ETc and 72.34% of annual cumulative ET0, respectively. A crop coefficient (kc) was also estimated for calculating the ETc, and average value of kc during the growing season was 0.81 (ranging from 0.45 to 1.16). Air temperature (Ta), wind speed (u), net radiation (Rn) and soil temperature (Ts) at the depth of 5 cm and aboveground biomass were critical factors for affecting kc, furthermore, a daily empirical kc equation including these main driving factors was developed. Our result demonstrated that the ETc value estimated by the data of kc and ET0 was validated and consistent with the growing season data in 2015 and 2016.

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.

Similar content being viewed by others

References

  • Alexandris S, Kerkides P. 2003. New empirical formula for hourly estimations of reference evapotranspiration. Agricultural Water Management, 60(3): 157–180.

    Article  Google Scholar 

  • Anderson D E, Verma S B, Rosenbuerg N J. 1984. Eddy correlation measurements of CO2, latent heat and sensible heat fluxes over a crop surface. Boundary-Layer Meteorology, 29: 263–272.

    Article  Google Scholar 

  • Allen R G, Smith M, Pereira L S, et al. 1994. An update for the calculation of reference evaporation. ICID Bulletin, 43(7): 672–674.

    Google Scholar 

  • Allen R G, Pereira L S, Raes D, et al. 1998. Crop evapotranspiration guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome.

    Google Scholar 

  • Allen R G, Pereira L S, Howell T A, et al. 2011. Evapotranspiration information reporting: I. factors governing measurement accuracy. Agricultural Water Management, 98(6): 899–920.

    Article  Google Scholar 

  • ASCE-EWRI. 2005. The ASCE standardized reference evapotranspiration equation. In: Allen R G, Walter I A, Elliot R L, et al. Reported by the American Society of Civil Engineers (ASCE) Task Committee on Standardization of Reference Evapotranspiration. ASCE, Reston, 0-7844-0805-X, 204.

    Google Scholar 

  • Aubinet M, Vesala T, Papale D. 2012. Eddy Covariance: A Practical Guide to Measurement and Data Analysis. Heidelberg: Springer, 365–376.

    Book  Google Scholar 

  • Burman D, Pochop L O. 1994. Evaporation, evapotranspiration and climatic data. Elsevier Science, 22: 1–5.

    Google Scholar 

  • Cai J, Liu Y, Lei T, et al. 2007. Estimating reference evapotranspiration with the FAO Penman-Monteith equation using daily weather forecast messages. Agricultural and Forest Meteorology, 145(1–2): 22–35.

    Article  Google Scholar 

  • De Medeiros G A, Arruda F B, Sakai E. 2005. Crop coefficient for irrigated beans derived using three reference evaporation methods. Agricultural and Forest Meteorology, 135(1–4): 135–143.

    Article  Google Scholar 

  • Falge E, Baldocchi D, Olson R, et al. 2001. Gap filling strategies for defensible annual sums of net ecosystem exchange. Agricultural and Forest Meteorology, 107(1): 43–69.

    Article  Google Scholar 

  • Gao Y F, Zhao C Y, Peng S Z, et al. 2015. Evapotranspiration simulation of the grassland and sensitivity analysis in Tianlaochi catchment in the upper reaches of Heihe River. Journal of Desert Research, 35(5): 1338–1345. (in Chinese)

    Google Scholar 

  • Gu J, Smith E A, Merritt J D. 1999. Testing energy balance closure with GOES-retrieved net radiation and in situ measured eddy correlation fluxes in BOREAS. Journal of Geophysical Research, 104(D22): 27881–27893.

    Article  Google Scholar 

  • Gu S Y, Tang X, Cui M, et al. 2008. Characterizing evapotranspriration over a meadow ecosystem on the Qinghai-Tibetan plateau. Journal of Geophysical Research, 113: 693–702.

    Article  Google Scholar 

  • Hou Q, Wang Y S, Yang Z L, et al. 2010. Analysis of control factors of crop coefficient in typical steppe. Chinese Journal of Grassland, 32: 58–64. (in Chinese)

    Google Scholar 

  • Hou Q, Wang Y S, Shi G H, et al. 2011. Studies on crop coefficients of typical steppe in Inner Mongolia. Acta Prataculturae Sinica, 20(4): 34–41. (in Chinese)

    Google Scholar 

  • Howell T A, Schneider A D, Jensen M E. 1991. History of lysimeter design and use for evapotranspiration measurements. Lysimeters for evapotranspiration & environmental measurements: Proceedings of the International Symposium on Lysimetry. ASCE, Honolulu, HI, 1–9.

    Google Scholar 

  • Jensen D, Hargreaves G, Temesgen B, et al. 1997. Computation of ET0 under nonideal conditions. Journal of Irrigation & Drainage Engineering, 123(5): 394–400.

    Article  Google Scholar 

  • Jensen M E, Burman R D, Allen R G. 1990. Evapotranspiration and Irrigation Water Requirements. New York: American Society of Civil Engineers, 70–72.

    Google Scholar 

  • Li J, Wang B, Liu X Q, et al. 2014. A study of fitting an alpine winter pasture evapotranspiration to a model based on the Penman-Monteith equation. Journal of Animal and Veterinary Advances, 13(3): 123–131.

    Google Scholar 

  • Li S G, Lai C T, Lee G, et al. 2005. Evapotranspiration from a wet temperate grassland and its sensitivity to microenvironmental variables. Hydrological Processes, 19(2): 517–532.

    Article  Google Scholar 

  • Lockwood J G. 1999. Is potential evapotranspiration and its relationship with actual evapotranspiration sensitive to elevated atmospheric CO2 level? Climate Change, 41(2): 193–212.

    Article  Google Scholar 

  • Mahrt L. 1998. Flux sampling strategy for aircraft and tower observations. Journal of Atmospheric and Oceanic Technology, 15: 416–429.

    Article  Google Scholar 

  • Massman W J. 2000. A simple method for estimating frequency response corrections for eddy covariance systems. Agricultural and Forest Meteorology, 104(3): 185–198.

    Article  Google Scholar 

  • Mastrorilli M, Katerji N, Rana G, et al. 1998. Daily actual evapotranspiration measured with TDR technique in Mediterranean conditions. Agricultural and Forest Meteorology, 90(1–2): 81–89.

    Article  Google Scholar 

  • Mauder M, Foken T. 2004. Documentation and instruction manual of the eddy covariance software package TK2. Work Report University of Bayreuth, Department of Micrometeorology.

    Google Scholar 

  • Miao H, Chen S, Chen J, et al. 2009. Cultivation and grazing altered evapotranspiration and dynamics in Inner Mongolia steppes. Agricultural and Forest Meteorology, 149(11): 1810–1819.

    Article  Google Scholar 

  • Mitchell P J, Veneklass E, Lambers H, et al. 2009. Partitioning of evapotranspiration in a semi-arid eucalypt woodland in south-western Australia. Agricultural and Forest Meteorology, 149(1): 25–37.

    Article  Google Scholar 

  • Molina H P M, Navarro A M, Osorio M C R, et al. 2006. Social and irrigation water management issues in some water user’s associations of the Low Segura River Valley (Alicante, Spain). Sustainable Irrigation Management, Technologies and Policies, 96: 205.

    Article  Google Scholar 

  • Ohmura A. 1982. Objective criteria for rejecting data for Bowen ratio flux calculations. Journal of Applied Meteorology and Climatology, 21(4): 595–598.

    Article  Google Scholar 

  • Papale D, Reichstein M, Aubinet M, et al. 2006. Towards a standardized processing of net ecosystem exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences, 3: 571–583.

    Article  Google Scholar 

  • Reichstein M, Falge E, Baldocchi D, et al. 2005. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global Change Biology, 11(9): 1424–1439.

    Article  Google Scholar 

  • Semalty P D, Dev K, Kumar S, et al. 2011. Estimation of forest evapotranspiration over Uttarakhand hills, India. Indian Journal of Physics, 85: 1277–1285.

    Article  Google Scholar 

  • Simona C, Rita P. 2013. Corrected surface energy balance to measure and model the evapotranspiration of irrigated orange orchards in semi-arid Mediterranean conditions. Irrigation Science, 31(5): 1159–1171.

    Article  Google Scholar 

  • Song K C, Kang E S, Jin B W, et al. 2004. An experimental study of grassland evapotranspiration in the mountain watershed of the Heihe River Basin. Journal of Glaciology and Geocryology, 26(3): 349–356. (in Chinese)

    Google Scholar 

  • Stannard D I, Blanford J H, Kustas W P, et al, 1994. Interpretation of surface flux measurements in heterogeneous terrain during the Monsoon’ 90 experiment. Water Resources Research, 30: 1227–1239.

    Article  Google Scholar 

  • Sumner D M, Jacobes J M. 2005. Utility of Penman-Monteith, Priestley-Taylor, reference evapotranspiration, and pan evaporation methods to estimate pasture evapotranspiration. Journal of Hydrology, 308(1–4): 81–104.

    Article  Google Scholar 

  • Sun X M, Zhu Z L, Wen X F, et al. 2006. The impact of averaging period on eddy fluxes observed at ChinaFLUX sites. Agricultural and Forest Meteorology, 137(3–4): 188–193.

    Article  Google Scholar 

  • Swinbank W C. 1951. The measurement of vertical transfer of heat and water vapour by eddies in the lower atmosphere. Journal of Meteorology, 8(3): 135–145.

    Article  Google Scholar 

  • Tyagi N K, Sharma D K, Luthra S K. 2000. Determination of evapotranspiration and crop coefficients of rice and sunflower with lysimeter. Agricultural Water Manage, 45(1): 41–54.

    Article  Google Scholar 

  • Veroustraete F, Verstraeten W W, Feyen J. 2008. Assessment of evapotranspiration and soil moisture content across different scales of observation. Sensors, 8(1): 70–117.

    Article  Google Scholar 

  • Wever L A, Flanagan L B, Carlson P J. 2002. Seasonal and interannual variation in evapotranspiration, energy balance and surface conductance in a northern temperate grassland. Agricultural and Forest Meteorology, 112(1): 31–49.

    Article  Google Scholar 

  • Williams L E, Phene C J, Grimes D W, et al. 2003. Water use of mature Thompson seedless grapevines in California. Irrigation Science, 22(1): 11–18.

    Google Scholar 

  • Williams L E, Ayars J E. 2005. Grapevine water use and the crop coefficient are linear functions of the shaded area measured beneath the canopy. Agricultural and Forest Meteorology, 132(3–4): 201–211.

    Article  Google Scholar 

  • Wilson K, Goldstein A, Falge E, et al. 2002. Energy balance closure at FLUXNET sites. Agricultural and Forest Meteorology, 113(1–4): 223–243.

    Article  Google Scholar 

  • Yang F, Zhou G. 2011. Characteristics and modeling of evapotranspiration over a temperate desert steppe in Inner Mongolia, China. Journal of Hydrological, 396(1–2): 139–147.

    Article  Google Scholar 

  • Yang Y, Chen R, Han C, et al. 2013. Measurement and estimation of the summertime daily evapotranspiration on alpine meadow in the Qilian Mountains, northwest China. Environmental Earth Sciences, 68(8): 2253–2261.

    Google Scholar 

  • Zhang F, Zhou G, Wang Y, et al. 2012. Evapotranspiration and crop coefficient for a temperate desert steppe ecosystem using eddy covariance in Inner Mongolia, China. Hydrological Processes, 26(3): 379–386.

    Article  Google Scholar 

  • Zhao L W, Zhao W Z. 2014. Evapotranspiration of an oasis-desert transition zone in the middle stream of Heihe River, Northwest China. Journal of Arid Land, 6(5): 529–539.

    Article  Google Scholar 

  • Zhou L, Zhou G. 2009. Measurement and modelling of evapotranspiration over a reed (Phragmites australis) marsh in Northeast China. Journal of Hydrology, 372(1–4): 41–47.

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by the National Natural Science Foundation of China (41571051, 91425301). The authors would like to thank Dr. PENG Shouzhang and Dr. YUAN Liming for their help with setting up the EC system and weather station. Thanks to Gansu Qilianshan National Nature Reserve for their field assistance.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chuanyan Zhao.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, Y., Zhao, C., Ashiq, M.W. et al. Actual evapotranspiration of subalpine meadows in the Qilian Mountains, Northwest China. J. Arid Land 11, 371–384 (2019). https://doi.org/10.1007/s40333-019-0012-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40333-019-0012-y

Keywords

Navigation