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Development of a Decision Support System for Irrigation Systems Analysis

Author

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  • Roula Khadra
  • Nicola Lamaddalena

Abstract

Different groups of hydrants or configurations operate simultaneously in on-demand pressurized irrigation systems, generating different flow regimes. The varieties of flow regimes cause a variability in hydrant pressure and consequently an adequate analysis of the hydraulic performance of the system is needed for better operation and adequate management. A reliable performance assessment needs a modern diagnostic analysis in space and time. To this aim, this research assessed the hydraulic performance of an irrigation district distribution network calculating two performance indicators at hydrant level: relative pressure deficit and reliability, and integrated the outputs in a geographic information system environment providing a framework for a decision support system (DSS). The user friendly interface provides detailed, attainable and interpretable information to address the present scenario as well as the future development of the system, and facilitates the cooperation among researchers, managers, and manufacturers to improve operation, maintenance, and management activities. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • Roula Khadra & Nicola Lamaddalena, 2010. "Development of a Decision Support System for Irrigation Systems Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(12), pages 3279-3297, September.
    • Handle: RePEc:spr:waterr:v:24:y:2010:i:12:p:3279-3297
    DOI: 10.1007/s11269-010-9606-z
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    References listed on IDEAS

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    1. Pereira, Luis S., 1999. "Higher performance through combined improvements in irrigation methods and scheduling: a discussion," Agricultural Water Management, Elsevier, vol. 40(2-3), pages 153-169, May.
    2. Calejo, M.J. & Lamaddalena, N. & Teixeira, J.L. & Pereira, L.S., 2008. "Performance analysis of pressurized irrigation systems operating on-demand using flow-driven simulation models," Agricultural Water Management, Elsevier, vol. 95(2), pages 154-162, February.
    3. Sakthivadivel, R. & Thiruvengadachari, S. & Amerasinghe, U. & Bastiaanssen, W. G. M. & Molden, D., 1999. "Performance evaluation of the Bhakra Irrigation System, India, using remote sensing and GIS techniques," IWMI Research Reports H024199, International Water Management Institute.
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    5. M. Rowshon & M. Amin & T. Lee & A. Shariff, 2009. "GIS-Integrated Rice Irrigation Management Information System for a River-Fed Scheme," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(14), pages 2841-2866, November.
    6. Bastiaanssen, W. G. M. & Molden, D. J. & Thiruvengadachari, S. & Smit, A. A. M. F. R. & Mutuwatte, L. & Jayasinghe, G., 1999. "Remote sensing and hydrologic models for performance assessment in Sirsa Irrigation Circle, India," IWMI Research Reports H024074, International Water Management Institute.
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    Cited by:

    1. J. Rodríguez Díaz & P. Montesinos & E. Poyato, 2012. "Detecting Critical Points in On-Demand Irrigation Pressurized Networks – A New Methodology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1693-1713, April.
    2. Bernd Klauer & Michael Rode & Johannes Schiller & Uwe Franko & Melanie Mewes, 2012. "Decision Support for the Selection of Measures according to the Requirements of the EU Water Framework Directive," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(3), pages 775-798, February.
    3. I. Fernández García & P. Montesinos & E. Camacho Poyato & J.A. Rodríguez Díaz, 2016. "Incorporating the Irrigation Demand Simultaneity in the Optimal Operation of Pressurized Networks with Several Water Supply Points," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1085-1099, February.
    4. Nicola Lamaddalena & Roula Khadra & Youssef Tlili, 2012. "Reliability-Based Pipe Size Computation of On-Demand Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(2), pages 307-328, January.
    5. Georges Comair & Daene McKinney & David Maidment & Gonzalo Espinoza & Harish Sangiredy & Abbas Fayad & Fernando Salas, 2014. "Hydrology of the Jordan River Basin: A GIS-Based System to Better Guide Water Resources Management and Decision Making," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 933-946, March.
    6. Stambouli, T. & Faci, J.M. & Zapata, N., 2014. "Water and energy management in an automated irrigation district," Agricultural Water Management, Elsevier, vol. 142(C), pages 66-76.
    7. A. Ghumman & R. Khan & Q. Khan & Z. Khan, 2012. "Modeling for Various Design Options of a Canal System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2383-2395, June.
    8. I. García & P. Montesinos & E. Poyato & J. Díaz, 2014. "Methodology for Detecting Critical Points in Pressurized Irrigation Networks with Multiple Water Supply Points," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 1095-1109, March.
    9. Sawassi, Aymen & Ottomano Palmisano, Giovanni & Crookston, Brian & Khadra, Roula, 2022. "The Dominance-based Rough Set Approach for analysing patterns of flexibility allocation and design-cost criteria in large-scale irrigation systems," Agricultural Water Management, Elsevier, vol. 272(C).
    10. R. Khadra & M. A Moreno & H. Awada & N. Lamaddalena, 2016. "Energy and Hydraulic Performance-Based Management of Large-Scale Pressurized Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3493-3506, August.
    11. Salvador, R. & Latorre, B. & Paniagua, P. & Playán, E., 2011. "Farmers’ scheduling patterns in on-demand pressurized irrigation," Agricultural Water Management, Elsevier, vol. 102(1), pages 86-96.
    12. Richard Harvey & Heather Murphy & Edward McBean & Bahram Gharabaghi, 2015. "Using Data Mining to Understand Drinking Water Advisories in Small Water Systems: a Case Study of Ontario First Nations Drinking Water Supplies," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5129-5139, November.

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