基于自适应里埃分解法和多尺度时间卷积网络的每日流量预测
Lijin Yu1, Zheng Wang2, Rui Dai1
1School of Computer Science and Technology, Zhejiang University of Technology, No. 288 Liuhe Road, Hangzhou, 310023, Zhejiang, China.
Environmental science and pollution research international
|August 7, 2023
概括
本研究介绍了AFDM-MTCN,这是一个新的流水预测模型,可以有效处理非线性和非静止数据. 该模型将自适应里埃分解 (AFDM) 与多尺度时间卷积网络 (MTCN) 结合起来,以提高准确性.
科学领域:
- 水文学的水文学
- 时间序列分析时间序列分析
- 机器学习 机器学习
背景情况:
- 流失系列表现出非线性和非静止性,挑战传统的预测模型.
- 单个预测模型往往无法捕捉水文数据的复杂内部动态.
研究的目的:
- 开发一个先进的流失预测模型,AFDM-MTCN,克服现有方法的局限性.
- 提高复杂的水文系统中排水预测的准确性和可行性.
主要方法:
- 拟议的AFDM-MTCN模型结合了自适应里埃分解法 (AFDM) 和多尺度时间卷积网络 (MTCN).
- 优化完善的福里埃分解法 (IFDM) 与Sparrow搜索算法用于增强的时间模式提取.
- 增强的时间卷积网络 (TCN) 具有多尺度的内核,跳过连接和深度可分离的卷积,用于强大的特征提取.
主要成果:
- 在排水预测准确性和可行性方面,AFDM-MTCN表现令人满意.
- 与其他分解技术相比,AFDM在从非静止的流水数据中提取模式方面表现出卓越的能力.
- 该模型在河流域的两个水文站上与最先进的方法进行了验证.
结论:
- AFDM-MTCN为准确的流水预测提供了一个有希望的方法,特别是对于非线性和非静止数列.
- 适应性分解方法是捕捉水文数据中复杂模式的关键.
- 该研究强调了将先进的分解和深度学习技术集成到水文建模中的潜力.
相关概念视频
01:18Uniform Depth Channel Flow: Problem Solving
87
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
87
01:24Rapidly Varying Flow
97
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
97
01:11Continuous -time Fourier Transform
348
The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...
348
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
71
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
71
01:29Gradually Varying Flow
87
Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
87
01:20Deconvolution
188
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
188