Abstract
The management of water resources in agricultural areas requires a precise knowledge of the evapotranspiration (ET). For this purpose, many measurement techniques are developed to quantify this variable. The eddy covariance system (EC) is the only method that can measure directly ET with high precision. However, over heterogeneous areas where the complexity is associated to the type and the cover of the vegetation canopy, to the soil moisture and to the changes in topography, a network of EC systems is needed which is costly and requires a continuous availability of well-trained staff to operate and maintain the devices. To overcome this issue, the scientific community develops other approaches based on modeling algorithms which can provide estimated values of the ET. In the present study, Shuttleworth-Wallace (SW) model was used to estimate ET over a mixed vegetation of olive trees and wheat in semi-arid climate conditions. The estimated ET shows good consistency during two years, 2017 and 2018 of study, with an RMSE of about 0.49 and 0.51 mm/day, respectively.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Giorgi, F.: Climate change hot-spots. Geophys. Res. Lett. 33, L08707 (2006)
Allen, R.G., Pereira, L.S., Howell, T.A., Jensend, M.E.: Evapotranspiration information reporting: I. Factors governing measurement accuracy. Agric. Water Manage. 98, 899e920 (2011)
Rana, G., Katerji, N., Mastrorilli, M., El Moujabber, M.: Evapotranspiration and canopy resistance of grass in a Mediterranean region. Theor. Appl. Climatol. 50(1–2), 61–71 (1994)
Courault, D., Seguin, B., Olioso, A.: Review on estimation of evapotranspiration from remote sensing data: from empirical to numerical modeling approaches. Irrig. Drain. Syst. 19(3/4), 223–249 (2005)
Domingo, F., Villagarcía, L., Brenner, A.J., Puigdefábregas, J.: Evapotranspiration model for semi-arid shrub-lands tested against data from SE Spain. Agric. Forest Meteorol. 95, 67–84 (1999)
Allen, R.G., Pereira, L.S., Raes, D., Smith, M.: Crop Evapotranspiration Guidelines for Computing Crop Water Require-ments, vol. 56. FAO, Rome, Italy (1998)
Norman, J.M., Kustas, W.P., Humes, K.S.: A two-source approach for estimating soil and vegetation energy fluxes from observations of directional radiometric surface temperature. Agric. Forest Meteorol 77, 263–293 (1995)
Su, Z.: The surface energy balance system (SEBS) for estimation of turbulent heat fluxes. Hydrol. Earth Syst. Sci. 6, 85–99 (2002)
Coudert, B., Ottlé, C., Boudevillain, B., Guillevic, P.C., Demarty, J.: Contribution of thermal infrared remote sensing data in multiobjective calibration of a dual source SVAT model. J. Hydrometeorol. 7, 404–420 (2006)
Noilhan, J., Mahfouf, J.F.: The ISBA Land surface parametrisation scheme. Global Planet. Change 13, 145–159 (1996)
Shuttleworth, W.J., Wallace, J.S.: Evaporation from sparse crops an energy combination theory. Q. J. Roy. Meteorol. Soc. 111(469), 839–855 (1985). https://doi.org/10.1256/smsqj.46909
Farahani, H.J., Bausch, W.C.: Performance of evapotranspiration models for maize-bare soil to closed canopy. Trans. Am. Soc. Agric. Eng. 38, 1049–1059 (1995)
Teh, C.B.S., Simmonds, L.P., Wheeler, T.R.: Modelling the partitioning of solar radiation capture and evapotranspiration intercropping systems. In: Proceedings of the 2nd International Conference on Tropical Climatology, Meteorology and Hydrology TCMH, Brussels, Belgium (2001)
Zhu, G.F., Li, X., Su, Y.H., Zhang, K., Bai, Y., Ma, J.Z., He, J.H.: Simultaneously assimilating multivariate data sets into the two-source evapotranspiration model by Bayesian approach: application to spring maize in an arid region of northwestern China. Geosci. Model Dev. 7(4), 1467–1482 (2014)
Sene, K.J.: Parameterisations for energy transfers from a sparse vine crop. Agric. Forest Meteorol. 71, 1–18 (1994)
Jarvis, P.G.: The interpretation of the variation in leaf water potential and stomatal conductance found in canopies in the field. Philos. Trans. Roy. Soc. London Ser. B: Biol. Sci. 273, 593–610 (1976)
Harris, P.P., Huntingford, C., Cox, P.M., Gash, J.H.C., Malhi, Y.: Effect of soil moisture on canopy conductance of Amazonian rainforest. Agric. Forest Meteorol. 122, 215–227 (2004)
Zhang, B.Z., Kang, S.Z., Li, F.S., Zhang, L.: Comparison of three evapotranspiration models ratio–energy balance method for a vineyard in desert region of northwest China. Agric. Forest Meteorol. 148, 1629–1640 (2008)
Acknowledgement
This study was conducted within the International Joint Laboratory-TREMA (http://trema.ucam.ac.ma), and funded by PHC TBK/18/61, the European Commission Horizon 2020 Programme for Research and Innovation (H2020) in the context of the Marie Sklodowska-Curie Research and Innovation Staff Exchange (RISE) action (REC project, grant agreement no: 645642) and (ACCWA project, grant agreement no: 823965). Additional funding was provided by SAGESSE and the ERANETMED03-62 CHAAMS. Jamal EL FARKH was awarded a mobility research training grant from PHC TBK/18/61.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Elfarkh, J., Er-Raki, S., Ezzahar, J., Jarlan, L., Khabba, S., Chehbouni, A. (2020). Estimation of the Evapotranspiration over Heterogeneous Region Using Shuttleworth-Wallace Model. In: El Moussati, A., Kpalma, K., Ghaouth Belkasmi, M., Saber, M., Guégan, S. (eds) Advances in Smart Technologies Applications and Case Studies. SmartICT 2019. Lecture Notes in Electrical Engineering, vol 684. Springer, Cham. https://doi.org/10.1007/978-3-030-53187-4_49
Download citation
DOI: https://doi.org/10.1007/978-3-030-53187-4_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-53186-7
Online ISBN: 978-3-030-53187-4
eBook Packages: Computer ScienceComputer Science (R0)