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    A New Method for Evaluating the Technical Efficiency of Irrigation and Drainage Networks Using LRDEA and Three-Step Monte Carlo Simulation

    Source: Journal of Irrigation and Drainage Engineering:;2024:;Volume ( 150 ):;issue: 001::page 04023032-1
    Author:
    Abas Abdeshahi
    ,
    Mostafa Mardani Najafabadi
    ,
    Elham Kalbali
    DOI: 10.1061/JIDEDH.IRENG-9995
    Publisher: ASCE
    Abstract: Investigating the efficiency of irrigation networks is one of the most crucial factors in providing the information needed to improve the efficiency of these systems. Due to the recent water crisis in Iran, it should be considered by managers and planners in this area. Therefore, in this study, the linear robust data envelopment analysis (LRDEA) method, which has the potential to apply uncertain conditions for the model data, is used to evaluate the efficiency of four irrigation networks in the Karun catchment located in Khuzestan province, Iran. The use of this model depends on determining the appropriate input and output data that were examined. On the other hand, to study the effect of water and soil resources’ quality on the efficiency of these networks, two scenarios with and without considering the quality of these resources in the input data are considered. The results show that the addition of water and soil quality input data causes some networks to experience a significant increase in efficiency score, resulting in a significant difference between the rankings in the two scenarios; so that the average efficiency of networks in the first scenario was 0.8 and in the second scenario is 0.97. It is also found that there is a significant difference between actual and desirable use for both input data of maintenance costs and personnel, which has led to inefficiencies in networks. This difference is less in the second scenario and is calculated as 41% and 34% for maintenance costs and personnel, respectively. Examining the Monte Carlo simulation results shows that LRDEA is reliable in terms of applying uncertain conditions and using its results to improve the efficiency of networks.
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      A New Method for Evaluating the Technical Efficiency of Irrigation and Drainage Networks Using LRDEA and Three-Step Monte Carlo Simulation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4297716
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    • Journal of Irrigation and Drainage Engineering

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    contributor authorAbas Abdeshahi
    contributor authorMostafa Mardani Najafabadi
    contributor authorElham Kalbali
    date accessioned2024-04-27T22:52:25Z
    date available2024-04-27T22:52:25Z
    date issued2024/02/01
    identifier other10.1061-JIDEDH.IRENG-9995.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4297716
    description abstractInvestigating the efficiency of irrigation networks is one of the most crucial factors in providing the information needed to improve the efficiency of these systems. Due to the recent water crisis in Iran, it should be considered by managers and planners in this area. Therefore, in this study, the linear robust data envelopment analysis (LRDEA) method, which has the potential to apply uncertain conditions for the model data, is used to evaluate the efficiency of four irrigation networks in the Karun catchment located in Khuzestan province, Iran. The use of this model depends on determining the appropriate input and output data that were examined. On the other hand, to study the effect of water and soil resources’ quality on the efficiency of these networks, two scenarios with and without considering the quality of these resources in the input data are considered. The results show that the addition of water and soil quality input data causes some networks to experience a significant increase in efficiency score, resulting in a significant difference between the rankings in the two scenarios; so that the average efficiency of networks in the first scenario was 0.8 and in the second scenario is 0.97. It is also found that there is a significant difference between actual and desirable use for both input data of maintenance costs and personnel, which has led to inefficiencies in networks. This difference is less in the second scenario and is calculated as 41% and 34% for maintenance costs and personnel, respectively. Examining the Monte Carlo simulation results shows that LRDEA is reliable in terms of applying uncertain conditions and using its results to improve the efficiency of networks.
    publisherASCE
    titleA New Method for Evaluating the Technical Efficiency of Irrigation and Drainage Networks Using LRDEA and Three-Step Monte Carlo Simulation
    typeJournal Article
    journal volume150
    journal issue1
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/JIDEDH.IRENG-9995
    journal fristpage04023032-1
    journal lastpage04023032-12
    page12
    treeJournal of Irrigation and Drainage Engineering:;2024:;Volume ( 150 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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