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Testing the water balance model criteria using TDR measurements, micrometeorological data and satellite-based information

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  • Consoli, S.
  • Licciardello, F.
  • Vanella, D.
  • Pasotti, L.
  • Villani, G.
  • Tomei, F.

Abstract

Aiming at developing real time water balance modelling for irrigation scheduling, this study assesses the accuracy of the soil water balance model CRITERIA, developed by the hydro-meteorological service of the Emilia-Romagna region (Italy). The model consists of (i) an algorithm for coupling the surface flow components (i.e. Richards equation), and (ii) various modules which may be applicable to different topographical and environmental conditions. In this study, CRITERIA was applied to simulate the soil water balance for an orange orchard in semi-arid Mediterranean conditions (Eastern Sicily, insular Italy) during the cropping season 2011.

Suggested Citation

  • Consoli, S. & Licciardello, F. & Vanella, D. & Pasotti, L. & Villani, G. & Tomei, F., 2016. "Testing the water balance model criteria using TDR measurements, micrometeorological data and satellite-based information," Agricultural Water Management, Elsevier, vol. 170(C), pages 68-80.
    • Handle: RePEc:eee:agiwat:v:170:y:2016:i:c:p:68-80
    DOI: 10.1016/j.agwat.2015.11.003
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    References listed on IDEAS

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    1. González-Dugo, M.P. & Escuin, S. & Cano, F. & Cifuentes, V. & Padilla, F.L.M. & Tirado, J.L. & Oyonarte, N. & Fernández, P. & Mateos, L., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. II. Application on basin scale," Agricultural Water Management, Elsevier, vol. 125(C), pages 92-104.
    2. Minacapilli, M. & Iovino, M. & D'Urso, G., 2008. "A distributed agro-hydrological model for irrigation water demand assessment," Agricultural Water Management, Elsevier, vol. 95(2), pages 123-132, February.
    3. Er-Raki, S. & Rodriguez, J.C. & Garatuza-Payan, J. & Watts, C.J. & Chehbouni, A., 2013. "Determination of crop evapotranspiration of table grapes in a semi-arid region of Northwest Mexico using multi-spectral vegetation index," Agricultural Water Management, Elsevier, vol. 122(C), pages 12-19.
    4. Consoli, S. & Vanella, D., 2014. "Mapping crop evapotranspiration by integrating vegetation indices into a soil water balance model," Agricultural Water Management, Elsevier, vol. 143(C), pages 71-81.
    5. A. Capra & S. Consoli & B. Scicolone, 2013. "Long-Term Climatic Variability in Calabria and Effects on Drought and Agrometeorological Parameters," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(2), pages 601-617, January.
    6. Mateos, L. & González-Dugo, M.P. & Testi, L. & Villalobos, F.J., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. I. Method validation," Agricultural Water Management, Elsevier, vol. 125(C), pages 81-91.
    7. Cammalleri, C. & Rallo, G. & Agnese, C. & Ciraolo, G. & Minacapilli, M. & Provenzano, G., 2013. "Combined use of eddy covariance and sap flow techniques for partition of ET fluxes and water stress assessment in an irrigated olive orchard," Agricultural Water Management, Elsevier, vol. 120(C), pages 89-97.
    8. Consoli, Simona & D'Urso, Guido & Toscano, Attilio, 2006. "Remote sensing to estimate ET-fluxes and the performance of an irrigation district in southern Italy," Agricultural Water Management, Elsevier, vol. 81(3), pages 295-314, March.
    9. J. Maestre-Valero & D. Martínez-Granados & V. Martínez-Alvarez & J. Calatrava, 2013. "Socio-Economic Impact of Evaporation Losses from Reservoirs Under Past, Current and Future Water Availability Scenarios in the Semi-Arid Segura Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1411-1426, March.
    10. Martínez-Alvarez, V. & García-Bastida, P.A. & Martin-Gorriz, B. & Soto-García, M., 2014. "Adaptive strategies of on-farm water management under water supply constraints in south-eastern Spain," Agricultural Water Management, Elsevier, vol. 136(C), pages 59-67.
    11. Tasumi, Masahiro & Allen, Richard G., 2007. "Satellite-based ET mapping to assess variation in ET with timing of crop development," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 54-62, March.
    12. Er-Raki, S. & Chehbouni, A. & Guemouria, N. & Duchemin, B. & Ezzahar, J. & Hadria, R., 2007. "Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region," Agricultural Water Management, Elsevier, vol. 87(1), pages 41-54, January.
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    3. Teixeira, Antônio & Leivas, Janice & Struiving, Tiago & Reis, João & Simão, Fúlvio, 2021. "Energy balance and irrigation performance assessments in lemon orchards by applying the SAFER algorithm to Landsat 8 images," Agricultural Water Management, Elsevier, vol. 247(C).
    4. Pereira, L.S. & Paredes, P. & Jovanovic, N., 2020. "Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach," Agricultural Water Management, Elsevier, vol. 241(C).
    5. Dzikiti, S. & Volschenk, T. & Midgley, S.J.E & Lötze, E. & Taylor, N.J & Gush, M.B. & Ntshidi, Z. & Zirebwa, S.F & Doko, Q. & Schmeisser, M. & Jarmain, C. & Steyn, W.J & Pienaar, H.H., 2018. "Estimating the water requirements of high yielding and young apple orchards in the winter rainfall areas of South Africa using a dual source evapotranspiration model," Agricultural Water Management, Elsevier, vol. 208(C), pages 152-162.
    6. Longo-Minnolo, G. & Vanella, D. & Consoli, S. & Intrigliolo, D.S. & Ramírez-Cuesta, J.M., 2020. "Integrating forecast meteorological data into the ArcDualKc model for estimating spatially distributed evapotranspiration rates of a citrus orchard," Agricultural Water Management, Elsevier, vol. 231(C).

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