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Risk Assessment of Agricultural Water Conveyance and Delivery Systems by Fuzzy Fault Tree Analysis Method

机译:模糊故障树分析法在农业输水系统风险评价中的应用。

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Improving the efficiency of main Agricultural Water Conveyance and Delivery Systems (AWCDS) has a significant impact on improving water productivity in agriculture. Therefore, risk assessment of mentioned systems is necessary to increase reliability of operational performance. Accordingly, this study for the first time presents a unique framework to assess the adequacy, equity, and efficiency of agricultural water distribution and delivery risk assessment within AWCDS. In this way, the Fault Tree Analysis (FTA) technique is employed for risk assessment of "undesirability of supply and delivery". The west Dez main irrigation canal in Khuzestan province of Iran was determined as the case study of the research. A set of questionnaires filled up by managers and experts of this irrigation district, the failure probabilities of the basic events are gathered in the form of linguistic terms. Due to the uncertainty in these terms, the system's risk assessment to determine the failure probability of the top event was performed based on Fuzzy Fault Tree Analysis method (FFTA). The results of the study showed that the failure probability in the fuzzy approach is 0.55 which is roughly 0.15 more than crisp approach. Also, the rating of the basic events based on their contribution to the occurrence of the top event was carried out using importance measures. Five major events were identified with an emphasis on operational and socio-economic issues related to distribution and delivery of water. Comparing the results of risk assessment with the mathematical model reveals that the latter's failure probability will be less than the system's FTA due to non-consideration of some important factors.
机译:提高主要农业用水输送和输送系统(AWCDS)的效率对提高农业用水生产率具有重大影响。因此,有必要对上述系统进行风险评估,以提高运营绩效的可靠性。因此,本研究首次提出了一个独特的框架,用于评估AWCDS中农业用水分配和输送风险评估的充分性,公平性和效率。这样,故障树分析(FTA)技术用于“供应和交付的不合需要性”风险评估。确定了伊朗胡塞斯坦省西部Dez主灌溉渠为案例研究。由该灌区的管理人员和专家填写的一系列调查表中,基本事件的失败概率以语言形式收集。由于这些术语的不确定性,因此基于模糊故障树分析方法(FFTA)进行了系统风险评估以确定最高事件的失败概率。研究结果表明,模糊方法的失效概率为0.55,比脆性方法高出约0.15。此外,还使用重要性度量对基础事件对顶级事件发生的贡献进行了评级。确定了五项重大事件,重点是与水的分配和输送有关的业务和社会经济问题。将风险评估结果与数学模型进行比较表明,由于未考虑某些重要因素,后者的失败概率将小于系统的FTA。

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