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校准普里斯特利-泰勒模型,用于在绿色屋顶的不同基底深度的蒸发透气

Haowen Xie¹, Yawen Wu², Mark Randall³

¹Nanxun Innovation Institute, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.

Water science and technology : a journal of the International Association on Water Pollution Research

|February 14, 2025

概括

对绿色屋顶 (GRs) 的蒸发透气 (ET) 模型参数进行校准,可以提高基板深度的准确性. 这项研究通过优化普里斯特利-泰勒系数α以改善水资源管理来提高ET估计.

科学领域:

环境科学环境科学
水文学的水文学
建筑科学建筑科学

背景情况:

从绿色屋顶 (GRs) 估计的蒸发透气 (ET) 通常忽视模型参数校准.
现有的研究通常集中在单个基板深度 (SD),限制了适用性.
准确的ET数据对于了解GR性能和水资源管理至关重要.

研究的目的:

为了提高从绿色屋顶 (GRs) 通过各种基底深度 (SDs) 来估计蒸发转化 (ET) 的准确性.
校准普里斯特利-泰勒系数 (α) 用于对GRs进行增强的ET建模.
评估参数校准对不同SD的ET估计准确性的影响.

主要方法:

从户外GR实验设置 (2021年4月 - 2023年4月) 中利用了692天的每日ET数据.
通过使用NSGA-II优化优化系数α来校准和验证普里斯特利-泰勒模型.
在三种基板深度中比较模型性能:50 mm,150 mm和300 mm.

主要成果:

未校准的普里斯特利-泰勒模型显示,对于较浅 (50毫米) 和较深 (300毫米) 的基底深度,准确性降低.
通过NSGA-II优化,在所有测试的基底深度上显著提高了ET估计准确性.
观察到的最实质性的性能改善是在300毫米的基底深度.

结论:

参数校准对于在绿色屋顶 (GRs) 中精确估计蒸发透气 (ET) 非常重要.
优化普里斯特利-泰勒系数 (α) 提高了模型可靠性跨不同的基底深度.
这项研究为改善绿色屋顶系统的保留和调节提供了基础.

关键词:

普里斯特利泰勒模型模型校准校准的时间蒸发透气是指蒸发透气.绿色屋顶是一个绿色的屋顶.基板的深度是很大的.

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