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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Short summary
In the context of major changes, the Southern Mediterranean area faces serious challenges with low and continuously decreasing water resources mainly attributed to agricultural use. A method for projecting irrigation water demand under both anthropogenic and climatic changes is proposed. Time series of satellite imagery are used to determine a set of semi-empirical equations that can be easily adapted to different future scenarios.
Preprints
https://doi.org/10.5194/hess-2020-301
https://doi.org/10.5194/hess-2020-301

  02 Jul 2020

02 Jul 2020

Review status: a revised version of this preprint was accepted for the journal HESS and is expected to appear here in due course.

Projection of irrigation water demand based on the simulation of synthetic crop coefficients and climate change

Michel Le Page1, Younes Fakir2,3, Lionel Jarlan1, Aaron Boone4, Brahim Berjamy5, Saïd Khabba2,3, and Mehrez Zribi1 Michel Le Page et al.
  • 1CESBIO, Université de Toulouse, CNRS/UPS/IRD/CNES/INRAE, 18 Avenue Edouard Belin, bpi 2801, 31401 Toulouse, CEDEX 9, France
  • 2Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
  • 3CRSA (Center for Remote Sensing Application), Mohammed VI Polytechnic University, Benguerir, Morocco
  • 4CNRM, Université de Toulouse, Meteo-France, CNRS, Toulouse, France
  • 5ABHT, Agence du Bassin Hydraulique du Tensift, Marrakech, Morocco

Abstract. In a context of major changes (climate, demography, economy, etc.), the Southern Mediterranean area faces serious challenges with intrinsically low, irregular and continuously decreasing water resources. In some regions, the proper dynamic of irrigated areas is very important so that it is needed to include it in future scenarios. A method for estimating the future evolution of irrigation water requirements is proposed and tested in the Tensift watershed, Morocco. Monthly synthetic crop coefficients (Kc) of the different irrigated areas were obtained from a time series of remote sensing observations. An empirical model using the synthetic Kc and rainfall was developed and fitted to the actual data. The model appears to be reliable with an average r2 of 0.69 for the observation period (2000–2016). The sub sampling tests suggested that a loss of performance (r2 = 0.45) is to be expected for two time periods after the observations (2050). This flexible system of equations has been used to reinterpret a local water management plan and to incorporate two downscaled climate change scenarios (RCP4.5 and RCP8.5). The examination of irrigation water requirements until 2050 revealed that the difference between the two climate scenarios was very small (< 2 %), while the two agricultural scenarios were strongly contrasted both spatially and in terms of their impact on water resources. The approach is generic and can be refined by incorporating irrigation efficiencies.

Michel Le Page et al.

 
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Michel Le Page et al.

Michel Le Page et al.

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Short summary
In the context of major changes, the Southern Mediterranean area faces serious challenges with low and continuously decreasing water resources mainly attributed to agricultural use. A method for projecting irrigation water demand under both anthropogenic and climatic changes is proposed. Time series of satellite imagery are used to determine a set of semi-empirical equations that can be easily adapted to different future scenarios.
Citation