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Field measurements based model for surface irrigation efficiency assessment

Author

Listed:
  • Canone, D.
  • Previati, M.
  • Bevilacqua, I.
  • Salvai, L.
  • Ferraris, S.

Abstract

Within scenarios of water scarcity, the irrigation efficiency plays an increasingly strategic role. In this paper, a method that uses an advance-infiltration model based on four field measurements and the soil particle size distribution is proposed to estimate border-irrigation efficiencies. This method was applied to fifteen irrigation events and the application, storage and distribution efficiencies were estimated. The advance-infiltration model was validated against soil moisture measurements. The field-scale saturated hydraulic conductivity was estimated by model fitting to the measured depth of water infiltration. The sensitivity of the modelled irrigation efficiency to the operational surface irrigation parameters was evaluated by simulating seven irrigation scenarios based on field-collected data.

Suggested Citation

  • Canone, D. & Previati, M. & Bevilacqua, I. & Salvai, L. & Ferraris, S., 2015. "Field measurements based model for surface irrigation efficiency assessment," Agricultural Water Management, Elsevier, vol. 156(C), pages 30-42.
    • Handle: RePEc:eee:agiwat:v:156:y:2015:i:c:p:30-42
    DOI: 10.1016/j.agwat.2015.03.015
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    References listed on IDEAS

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    1. Ana Iglesias & Luis Garrote & Francisco Flores & Marta Moneo, 2007. "Challenges to Manage the Risk of Water Scarcity and Climate Change in the Mediterranean," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(5), pages 775-788, May.
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    Cited by:

    1. Fan, Yubing & Massey, Raymond E. & Park, Seong C., 2017. "Multicrop Production Decisions and Economic Irrigation Water Use Efficiency: Effects of Water Costs, Pressure Irrigation Adoption and Climate Determinants," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258561, Agricultural and Applied Economics Association.
    2. Emiliana Valentini & Serena Sapio & Emma Schiavon & Margherita Righini & Beatrice Monteleone & Andrea Taramelli, 2024. "Development of a Pre-Automatized Processing Chain for Agricultural Monitoring Using a Multi-Sensor and Multi-Temporal Approach," Land, MDPI, vol. 13(1), pages 1-17, January.
    3. Akbari, Mahmood & Gheysari, Mahdi & Mostafazadeh-Fard, Behrouz & Shayannejad, Mohammad, 2018. "Surface irrigation simulation-optimization model based on meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 201(C), pages 46-57.
    4. Cao, Xinchun & Li, Yueyao & Wu, Mengyang, 2022. "Irrigation water use and efficiency assessment coupling crop cultivation, commutation and consumption processes," Agricultural Water Management, Elsevier, vol. 261(C).

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