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Modelling irrigation scheduling to analyse water management at farm level, during water shortages.

机译:在缺水期间对灌溉计划进行建模,以分析农场一级的水管理。

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The area under irrigated maize has significantly increased in the Charente river basin during the last 10 years. Maize water requirements are maximum in the summer, the period with low water flows and highest environmental vulnerability. Irrigationmanagement strategies at farm level during water shortages are discussed. A computer programme called IRMA is used to represent the farmer's decision making process. The model was calibrated and validated using information collected through a detailed monitoring of irrigation and farming practices of three representative farms during two irrigation seasons. The accuracy of the model was good; the difference between measured and simulated cumulative water volume used was slightly less than 8.5%. Analysisof daily simulated water demand shows that farmers have adopted different strategies to deal with water shortages, depending on the physical and socio-economic characteristics of their farms. The application presented in this paper stresses the potential of the proposed approach, if used on a larger farm sample, to compare the expected impact of different water management policies on water demand and irrigation practices at the farm level.
机译:过去十年来,夏朗德河流域的玉米灌溉面积大大增加。夏季,水流量低,环境脆弱性最高的时期,玉米需水量最大。讨论了缺水期间农场一级的灌溉管理策略。使用称为IRMA的计算机程序代表农民的决策过程。使用在两个灌溉季节期间对三个代表性农场的灌溉和耕作实践进行详细监控所收集的信息,对模型进行了校准和验证。该模型的准确性很好;测量和模拟使用的累积水量之间的差异略小于8.5%。对每日模拟需水量的分析表明,农民根据农场的自然和社会经济特征,采取了不同的策略来应对缺水问题。本文介绍的应用程序强调了该方法的潜力(如果用于较大的农场样本),可以比较不同水管理政策对农场一级的需水量和灌溉实践的预期影响。

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