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相关概念视频

Design Example: Design of an Irrigation Channel01:27

Design Example: Design of an Irrigation Channel

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Trapezoidal channels are widely used in irrigation systems due to their cost-effectiveness and efficiency in conveying water. Trapezoidal channels feature a flat bottom and sloping sides, making them stable and easier to construct compared to other shapes. The bottom width and side slope ratio are determined based on the required flow capacity and site conditions. The side slope is kept gentle for unlined channels to prevent soil erosion.Hydraulic parameters in channel design include the flow...
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Conservation of Mass in Moving, Nondeforming Control Volume01:14

Conservation of Mass in Moving, Nondeforming Control Volume

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Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
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Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
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Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
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Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
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Laminar flow represents a smooth, orderly fluid motion where particles move along parallel paths, resulting in minimal mixing between layers. Streamlined particle paths characterize this flow regime and occur under conditions where viscous forces dominate over inertial forces. The distinction between laminar, transitional, and turbulent flow is primarily determined by the Reynolds number, a dimensionless quantity calculated as:
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一种基于优化LSTM模型的精确灌量预测方法.

Hui Yan1, Fahuan Xie2, Duo Long3

  • 1School of Information Engineering, Suqian University, Suqian, Jiangsu, China.

PeerJ. Computer science
|December 13, 2024
PubMed
概括

本研究介绍了一种优化的双向LSTM (BiLSTM) 模型,注意精确的作物灌量预测. 这种先进的模型提高了水资源管理和作物生产效率.

关键词:
准确的灌量预测.农业生产农业生产注意力机制注意力机制BiLSTM-CNN-注意事项空间特征 空间特征是指空间特征.时间信息 时间信息.

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科学领域:

  • 农业科学 农业科学
  • 数据科学数据科学数据科学
  • 机器学习 机器学习

背景情况:

  • 准确预测灌量对于可持续农业和最佳水资源管理至关重要.
  • 传统方法往往难以捕捉影响作物用水需求的复杂时空动态.

研究的目的:

  • 开发和验证一个优化的灌量预测模型,利用深度学习技术.
  • 提高灌预测的准确性和可靠性,以改善农业决策.

主要方法:

  • 利用双向长短期记忆 (BiLSTM) 网络来建模时间特征和顺序依赖.
  • 使用卷积神经网络 (CNN) 来提取空间特征和特征之间的相关性 (温度,降水,风速).
  • 集成了一个注意力机制来优先考虑关键特征,进一步提高预测性能.

主要成果:

  • 与RNN,CNN,LSTM,BiLSTM和BiLSTM-CNN相比,提出的BiLSTM-CNN-Attention模型表现出优异的性能.
  • 实现显著低误差指标:平均平方误差 (MSE) 为 0.000004,根平均平方误差 (RMSE) 为 0.005968,平均绝对误差 (MAE) 为 0.004599.
  • 获得了0.9749,高的确定系数 (R2),表明春季玉米灌量有很强的预测能力.

结论:

  • BiLSTM-CNN-Attention模型为预测作物灌量提供了强大而准确的解决方案.
  • 这种方法促进了更精确的灌管理,从而提高了水的利用效率和提高了作物生产.
  • 这些发现特别适用于面临水资源短缺或旨在优化资源分配的农业地区.