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A Simulation-Optimization Model for Conjunctive Use of Canal and Pond in Irrigating Paddy Fields

机译:稻田水渠渠联合利用的模拟优化模型

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摘要

In this study, a new methodology is presented for conjunctive use of canal and pond to assess the role of ponds in saving local water and optimizing use of them in supplying irrigation water requirement of paddy fields. Evapotranspiration, runoff, irrigation water requirement, irrigation interval and pond water balance were simulated and then number of canal intake, storage volume and released volume of pond were optimized by binary genetic algorithm. Minimizing the number of canal intake and limitations of no deficit irrigation and storage volume of pond was defined as objective function and constraints, respectively. The effectiveness of the proposed methodology is examined through applying it for Fashtam pond in Sangar, Guilan province in Northern part of Iran. The results showed that 60, 54 and 46% of irrigation requirement of paddy fields were supplied by precipitation and runoff water saved in Fashtam pond and the rate of overflow of pond to maximum pond volume were 100, 74 and 34% in wet, normal and dry years, respectively. The model develops a scenario to increase pond capacity in selected case study for Fashtam pond located in Guilan province in Iran. It demonstrates how supply of irrigation to paddy fields has been increased to 100, 91 and 61% in wet, normal and dry years, respectively through simulation-optimization approach.
机译:在这项研究中,提出了一种新的方法,用于运河和池塘的联合使用,以评估池塘在节约当地水资源方面的作用,并优化池塘在满足稻田灌溉需水量方面的利用。模拟了蒸散量,径流,灌溉需水量,灌溉间隔和池塘水量平衡,然后利用二元遗传算法对渠道的取水量,蓄水量和蓄水量进行了优化。尽量减少运河的进水数量和无亏灌溉的限制以及池塘的蓄水量分别定义为目标函数和约束条件。通过将其应用于伊朗北部桂兰省桑加尔的Fashtam池塘,检验了该方法的有效性。结果表明,Fashtam池塘中的降水和径流水满足了稻田灌溉需求的60%,54%和46%,湿,正常和正常状态下池塘溢流对最大池塘容积的比率分别为100%,74%和34%。分别是干年。该模型为选定位于伊朗桂兰省的Fashtam池塘的案例研究提供了增加池塘容量的方案。它演示了如何通过模拟优化方法,分别在潮湿,正常和干旱年份将稻田的灌溉供应量分别提高到100%,91%和61%。

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