Assessing the performance of a large-scale irrigation system by estimations of actual evapotranspiration obtained by Landsat satellite images resampled with cubic convolution
| Autor: | Giuseppe Ciraolo, Miguel Angel Moreno Hidalgo, Hassan Awada, Antonino Maltese, Giuseppe Provenzano, Juan Ignacio Córcoles |
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| Přispěvatelé: | Awada H., Ciraolo G., Maltese A., Provenzano G., Moreno Hidalgo M.A., Corcoles J.I. |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
SEBAL
Irrigation 010504 meteorology & atmospheric sciences 0211 other engineering and technologies 02 engineering and technology Management Monitoring Policy and Law 01 natural sciences Surface energy balance Irrigation system performance Computers in Earth Science Evapotranspiration Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali Computers in Earth Sciences Water-use efficiency 021101 geological & geomatics engineering 0105 earth and related environmental sciences Earth-Surface Processes Hydrology Global and Planetary Change Settore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia Remote sensing Irrigation district Latent heat flux Thematic Mapper Water saving Earth-Surface Processe Resampling method Environmental science Satellite Scale (map) Settore ICAR/06 - Topografia E Cartografia |
| Popis: | Remote sensing techniques allow monitoring the Earth surface and acquiring worthwhile information that can be used efficiently in agro-hydrological systems. Satellite images associated to computational models represent reliable resources to estimate actual evapotranspiration fluxes, ETa, based on surface energy balance. The knowledge of ETa and its spatial distribution is crucial for a broad range of applications at different scales, from fields to large irrigation districts. In single plots and/or in irrigation districts, linking water volumes delivered to the plots with the estimations of remote sensed ETa can have a great potential to develop new cost-effective indicators of irrigation performance, as well as to increase water use efficiency. With the aim to assess the irrigation system performance and the opportunities to save irrigation water resources at the “SAT Llano Verde” district in Albacete, Castilla-La Mancha (Spain), the Surface Energy Balance Algorithm for Land (SEBAL) was applied on cloud-free Landsat 5 Thematic Mapper (TM) images, processed by cubic convolution resampling method, for three irrigation seasons (May to September 2006, 2007 and 2008). The model allowed quantifying instantaneous, daily, monthly and seasonal ETa over the irrigation district. The comparison between monthly irrigation volumes distributed by each hydrant and the corresponding spatially averaged ETa, obtained by assuming an overall efficiency of irrigation network equal to 85%, allowed the assessment of the irrigation system performance for the area served by each hydrant, as well as for the whole irrigation district. It was observed that in all the investigated years, irrigation volumes applied monthly by farmers resulted generally higher than the corresponding evapotranspiration fluxes retrieved by SEBAL, with the exception of May, in which abundant rainfall occurred. When considering the entire irrigation seasons, it was demonstrated that a considerable amount of water could have been saved in the district, respectively equal to 26.2, 28.0 and 16.4% of the total water consumption evaluated in the three years. |
| Databáze: | OpenAIRE |
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