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一个基于NARX的优化模型,用于预测河流中的热力学和热浪.
Senlin Zhu1, Fabio Di Nunno2, Jiang Sun1
1College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou, China.
The Science of the total environment
|March 27, 2024
概括
这项研究通过使用优化的外源输入 (NARX) 模型的非线性自行回归网络来增强河流热浪预测. 改进的模型准确地预测了河水温度和热浪特征,这对于了解气候变化影响至关重要.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 气候变化研究 气候变化研究
背景情况:
- 河流的热力学对于水生生物的健康至关重要,气候变化引起的热浪越来越多地影响着它们.
- 现有的模型在描述河流热浪持续时间和强度方面缺乏准确性.
- 需要先进的建模技术来预测河流热事件.
研究的目的:
- 用外源输入 (NARX) 模型来增强非线性自回网络,以改进河流热浪预测.
- 为了提高河水温度 (RWT) 动态和热浪事件的特征.
- 为了比较优化NARX模型与已建立的air2stream模型的性能.
主要方法:
- 开发了一个基于NARX的优化模型,结合了贝叶斯优化 (BO) 和贝叶斯规范化 (BR) 算法.
- 利用了维斯拉河流域18条河流的长期数据集 (1991-2021年).
- 将BO-NARX-BR模型的性能与RWT和热浪建模的air2stream模型进行比较.
主要成果:
- 与air2stream.BR相比,BO-NARX-BR模型在校准,验证和热浪预测方面表现出卓越的性能.
- 该研究发现,在维斯拉河流域,河流热浪的频率和强度越来越高.
- 基于NARX的模型在描述河流热浪方面表现得更好.
结论:
- 优化的基于NARX的模型为河流热力学和热浪提供了增强的预测能力.
- 调查结果强调了由于气候变化而在维斯拉河流域不断升级的河流热浪威胁.
- 这项研究为波兰和全球河流热浪分析提供了基础研究.
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