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Information Journal Paper

Title

NON-STRUCTURAL MANAGEMENT OF FLOODPLAINS USING AGRICULTURAL FLOOD LOSS ESTIMATION

Pages

  83-94

Abstract

 AGRICULTURAL FLOOD LOSS ESTIMATION is the first step toward NON-STRUCTURAL MANAGEMENT of rural areas and requires the combination of flood frequency analysis, flood hydraulic simulation and loss function estimation for each growth stage of the crop. Due to the amount of investment and plant resistance, agricultural loss varies according to different growth stages; that is, agricultural flood loss is a time dependent phenomenon. In the proposed algorithm, which is based on the Monte Carlo technique, the chance of the flood occurrence at each growth stage is generated via a repetitive sampling from the Uniform probability density function while an insignificant difference between two consecutive summations of the losses at different stages gives the final total loss. RICE as the main crop of the north of Iran was selected for the study. The results showed that the loss is a non-linear function of the growth stages and increases as follows: transplanting, clustering stemming and harvesting. In contrast to the existing methods that suppose 100% loss for flooded areas, the 100, 200, and 500 return period floods caused losses equal to 21, 27, and 47% respectively.

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    • Cite

    APA: Copy

    SHOKOOHI, ALIREZA, & GANJI, ZAHRA. (2013). NON-STRUCTURAL MANAGEMENT OF FLOODPLAINS USING AGRICULTURAL FLOOD LOSS ESTIMATION. IRANIAN OF IRRIGATION & WATER ENGINEERING, 3(12), 83-94. SID. https://sid.ir/paper/247328/en

    Vancouver: Copy

    SHOKOOHI ALIREZA, GANJI ZAHRA. NON-STRUCTURAL MANAGEMENT OF FLOODPLAINS USING AGRICULTURAL FLOOD LOSS ESTIMATION. IRANIAN OF IRRIGATION & WATER ENGINEERING[Internet]. 2013;3(12):83-94. Available from: https://sid.ir/paper/247328/en

    IEEE: Copy

    ALIREZA SHOKOOHI, and ZAHRA GANJI, “NON-STRUCTURAL MANAGEMENT OF FLOODPLAINS USING AGRICULTURAL FLOOD LOSS ESTIMATION,” IRANIAN OF IRRIGATION & WATER ENGINEERING, vol. 3, no. 12, pp. 83–94, 2013, [Online]. Available: https://sid.ir/paper/247328/en

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