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Study on Real Time Optimal Regulation of Agricultural WaterResources in the Yellow River Irrigation Area

机译:黄河灌区农业水源实时优化调控研究

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摘要

With the background of water resources crisis, according to the characteristics of agricultural water resources in Yellow River irrigation area and the real time dispatch principle, a layered coupling model for real time optimal dispatch of agricultural water resources is established. The model consists of three modules : mid and long term ( years ) optimal dispatch module , short term ( growing stage ) optimal module and feedback information of real time error correction system. By applying this model the forward rolling dispatch including " the forecasting, decision making, implementation, error correction, further forecasting, further decision making, further implementation, further error correction" is realized. The principal results are as following: according to the principle of real time dispatch and the characteristics of agricultural water resources configuration, a layered coupling model for real time optimal dispatch of agricultural water resources is established. The model embodies the connotation of facing time to reach the optimal real time dispatch under the constraint condition of mid and long optimal. Analysis method of fuzzy clustering R/S for forecasting typical year, of which the forecasting theory and method are simple, has a better application value. The method of modified grey interval — development belt model to forecast the precipitation improves the accuracy of prediction. The real time correction model based on the theory of fuzzy recognition technology realized real time correction of forecasting error and dispatch result, which can increase the reliability and practicability of the model.
机译:随着水资源危机的背景,根据黄河灌区农业水资源的特点和实时发货原则,建立了一个用于实时派出农业水资源的分层耦合模型。该模型由三个模块组成:中期和长期(年)最优调度模块,短期(生长阶段)最优模块和实时误差校正系统的反馈信息。通过将该模型应用于前进滚动调度,包括“预测,决策,实现,纠错,进一步预测,进一步的决策,进一步实施,进一步的纠错”。主要结果如下:根据实时派遣的原则和农业水资源配置的特点,建立了农业水资源的实时优化派遣的分层耦合模型。该模型体现了在中期和长度的约束条件下实现最佳实时发货的结论。预测理论和方法简单的预测理论和方法的预测年度模糊聚类R / S的分析方法具有更好的应用价值。修改灰度间隔开发带模型的方法预测降水提高了预测的准确性。基于模糊识别技术理论的实时校正模型实现了预测误差和调度结果的实时校正,可以提高模型的可靠性和实用性。

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