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Performance indicators to assess the implementation of automation in water user associations: A case study in southeast Spain

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  • Fernández-Pacheco, D.G.
  • Ferrández-Villena, M.
  • Molina-Martínez, J.M.
  • Ruiz-Canales, A.

Abstract

Water and energy in the agricultural sector must be used efficiently to obtain sustainable agriculture, which also leads to economical savings. This also has a positive influence on the conservation of fossil resources and the reduction of contamination. Automation in irrigation systems permits the control of water and energy resources. Therefore, several parameters related to water and energy efficiency, both in the pump station and in the collective irrigation network, can be controlled. In this study, several performance indicators are proposed to assess the implementation of automation in water user associations. Both the indicators and the methodology used for data gathering are detailed in the study, and the results of a case study in southeast Spain are presented. The results demonstrate that automation is a low-cost investment (1.24–6.72% of the total costs) compared to the large benefits and advantages (2.05–8.21% energy saving and 0.71–6.46% water saving). Moreover, the amortization periods are very short and are less than 1.5 years in the majority of cases.

Suggested Citation

  • Fernández-Pacheco, D.G. & Ferrández-Villena, M. & Molina-Martínez, J.M. & Ruiz-Canales, A., 2015. "Performance indicators to assess the implementation of automation in water user associations: A case study in southeast Spain," Agricultural Water Management, Elsevier, vol. 151(C), pages 87-92.
    • Handle: RePEc:eee:agiwat:v:151:y:2015:i:c:p:87-92
    DOI: 10.1016/j.agwat.2014.11.005
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    References listed on IDEAS

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    1. Hedley, C.B. & Yule, I.J., 2009. "A method for spatial prediction of daily soil water status for precise irrigation scheduling," Agricultural Water Management, Elsevier, vol. 96(12), pages 1737-1745, December.
    2. Almiñana, M. & Escudero, L.F. & Landete, M. & Monge, J.F. & Rabasa, A. & Sánchez-Soriano, J., 2010. "WISCHE: A DSS for water irrigation scheduling," Omega, Elsevier, vol. 38(6), pages 492-500, December.
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    Cited by:

    1. Balasubramanya, Soumya, 2019. "Effects of training duration and the role of gender on farm participation in water user associations in Southern Tajikistan: Implications for irrigation management," Agricultural Water Management, Elsevier, vol. 216(C), pages 1-11.
    2. Garrigós, J. & Molina, J.M. & Alarcón, M. & Chazarra, J. & Ruiz-Canales, A. & Martínez, J.J., 2017. "Platform for the management of hydraulic chambers based on mobile devices and Bluetooth Low-Energy motes," Agricultural Water Management, Elsevier, vol. 183(C), pages 169-176.
    3. Cáceres, Rafaela & Pol, Enric & Narváez, Lola & Puerta, Anna & Marfà, Oriol, 2017. "Web app for real-time monitoring of the performance of constructed wetlands treating horticultural leachates," Agricultural Water Management, Elsevier, vol. 183(C), pages 177-185.
    4. Loureiro, Dália & Beceiro, Paula & Moreira, Madalena & Arranja, Carina & Cordeiro, Diana & Alegre, Helena, 2023. "A comprehensive performance assessment system for diagnosis and decision-support to improve water and energy efficiency and its demonstration in Portuguese collective irrigation systems," Agricultural Water Management, Elsevier, vol. 275(C).
    5. Melián-Navarro, A. & Molina-Martínez, J.M. & Rodríguez-Díaz, J.A. & Ruiz-Canales, A., 2017. "Performance indicators to assess the implementation of automation in golf courses located in Southeast Spain," Agricultural Water Management, Elsevier, vol. 183(C), pages 35-40.

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