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A distributed agro-hydrological model for irrigation water demand assessment

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  • Minacapilli, M.
  • Iovino, M.
  • D'Urso, G.

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  • 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.
    • Handle: RePEc:eee:agiwat:v:95:y:2008:i:2:p:123-132
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    1. D'Urso, G. & Menenti, M. & Santini, A., 1999. "Regional application of one-dimensional water flow models for irrigation management," Agricultural Water Management, Elsevier, vol. 40(2-3), pages 291-302, May.
    2. Droogers, P. & Bastiaanssen, W. G. M. & Beyazgul, M. & Kayam, Y. & Kite, G. W. & Murray-Rust, H., 2000. "Distributed agro-hydrological modeling of an irrigation system in western Turkey," Agricultural Water Management, Elsevier, vol. 43(2), pages 183-202, March.
    3. Ben-Asher, J. & van Dam, J. & Feddes, R.A. & Jhorar, R.K., 2006. "Irrigation of grapevines with saline water: II. Mathematical simulation of vine growth and yield," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 22-29, May.
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    1. 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.
    2. Klug, Hermann & Kmoch, Alexander, 2015. "Operationalizing environmental indicators for real time multi-purpose decision making and action support," Ecological Modelling, Elsevier, vol. 295(C), pages 66-74.
    3. Martínez-Gimeno, M.A. & Jiménez-Bello, M.A. & Lidón, A. & Manzano, J. & Badal, E. & Pérez-Pérez, J.G. & Bonet, L. & Intrigliolo, D.S. & Esteban, A., 2020. "Mandarin irrigation scheduling by means of frequency domain reflectometry soil moisture monitoring," Agricultural Water Management, Elsevier, vol. 235(C).
    4. Rallo, Giovanni & Provenzano, Giuseppe, 2013. "Modelling eco-physiological response of table olive trees (Olea europaea L.) to soil water deficit conditions," Agricultural Water Management, Elsevier, vol. 120(C), pages 79-88.
    5. C. Cammalleri & G. Ciraolo & M. Minacapilli & G. Rallo, 2013. "Evapotranspiration from an Olive Orchard using Remote Sensing-Based Dual Crop Coefficient Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4877-4895, November.
    6. Ko, Jonghan & Piccinni, Giovanni & Steglich, Evelyn, 2009. "Using EPIC model to manage irrigated cotton and maize," Agricultural Water Management, Elsevier, vol. 96(9), pages 1323-1331, September.
    7. 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.
    8. Fu, Chong & Xue, Jing & Chen, Junfeng & Cui, Lihong & Wang, Hui, 2024. "Evaluating spatial and temporal variations of soil water, heat, and salt under autumn irrigation in the Hetao Irrigation District based on distributed SHAW model," Agricultural Water Management, Elsevier, vol. 293(C).
    9. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2019. "Hydrological complexities in irrigated agro-ecosystems with fragmented land cover types and shallow groundwater: Insights from a distributed hydrological modeling method," Agricultural Water Management, Elsevier, vol. 213(C), pages 868-881.

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