期刊
WATER
卷 13, 期 15, 页码 -出版社
MDPI
DOI: 10.3390/w13152073
关键词
water use; energy fluxes; radiometric temperatures; eddy-covariance; crop coefficients
资金
- Spanish Economy and Competitiveness Ministry [AGL2017-83738-C3-3-R]
- Education, Culture and Sports Council (JCCM, Spain) [SBPLY/17/180501/000357]
- FEDER funds
- European Commission
- PRIMA program
- project SUPROMED [1813]
This study conducted over three consecutive growing seasons in a drip-irrigated young almond orchard utilized a Simplified Two-Source Energy Balance (STSEB) model to quantify water use, showing the potential to predict water use in almond orchards by monitoring biophysical parameters such as crop coefficients and vegetation fractional cover.
Encouraged by the necessity to better understand the water use in this woody crop, a study was carried out in a commercial drip-irrigated young almond orchard to quantify and monitor the crop evapotranspiration (ETc) and its partitioning into tree canopy transpiration (T) and soil evaporation (E), to list and analyze single and dual crop coefficients, and to extract relationships between them and the vegetation fractional cover (f(c)) and remote-sensing-derived vegetation indices (VIs). A Simplified Two-Source Energy Balance (STSEB) model was applied, and the results were compared to ground measurements from a flux tower. This study comprises three consecutive growing seasons from 2017 to 2019, corresponding to Years 2 to 4 after planting. Uncertainties lower than 50 W m(-2) were obtained for all terms of the energy balance equation on an instantaneous scale, with average estimation errors of 0.06 mm h(-1) and 0.6 mm d(-1), for hourly and daily ETc, respectively. Water use for our young almond orchard resulted in average mid-season crop coefficient (K-c mid) values of 0.30, 0.33, and 0.45 for the 2017, 2018, and 2019 growing seasons, corresponding to f(c) mean values of 0.21, 0.35, and 0.39, respectively. Average daily evapotranspiration for the same periods resulted in 1.7, 2.1, and 3.2 mm d(-1). The results entail the possibility of predicting the water use of any age almond orchards by monitoring its biophysical parameters.
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