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Determining the Sensitivity of Performance Indicators in Doroodzan Irrigation and Drainage Network Using a Flow Hydraulic Simulation Model

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  • Mohammad Ali Shahrokhnia

    (Agricultural Engineering Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization)

Abstract

Determining and evaluating the sensitivity of water delivery structures in irrigation networks can lead to better management of these systems. So far, some indicators have been introduced and used in this regard. Most of the previous indicators were based on the discharge difference of the gates due to changes in input factors. The novelty of this paper is the definition of sensitivity for performance indicators of irrigation and drainage networks. 12 equations were introduced to determine the sensitivity of the indicators to gate opening changes and discharge changes. The values of these indicators were determined using a flow simulation model in the Droodzen irrigation and drainage network in southwest Iran. The results showed that the introduced indicators can be used to determine more sensitive structures and better management of an irrigation network. These indicators are general and can be used for other irrigation and drainage networks in the world. Some regression equations were presented to relate the performance indicators to gate setting. The sensitive structures may also be identified comparing the slope of these lines.

Suggested Citation

  • Mohammad Ali Shahrokhnia, 2024. "Determining the Sensitivity of Performance Indicators in Doroodzan Irrigation and Drainage Network Using a Flow Hydraulic Simulation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 107-122, January.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:1:d:10.1007_s11269-023-03654-2
    DOI: 10.1007/s11269-023-03654-2
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    References listed on IDEAS

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    1. Kazem Shahverdi & Hossein Talebmorad, 2023. "Automating HEC-RAS and Linking with Particle Swarm Optimizer to Calibrate Manning’s Roughness Coefficient," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(2), pages 975-993, January.
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