Li et al. (2025) A New Approach to Sensible Heat Flux via CFD-Surface Renewal Integration

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Agronomy
• Year: 2025
• Date: 2025-11-25
• Authors: Yang Li, Yongguang Hu, Yongzong Lu, Yanan Fu, Jizhang Wang
• DOI: 10.3390/agronomy15122708

Research Groups

Not specified in the provided text.

Short Summary

This study integrates surface renewal theory (SR) with computational fluid dynamics (CFD) and large eddy simulation (LES) to improve sensible heat flux estimation in tea plantations by proposing a new CFD-based method for determining the SR calibration coefficient (α) and demonstrating accurate temperature fluctuation simulations.

Objective

• To address challenges in surface renewal theory (SR) application for sensible heat flux estimation, specifically determining the calibration coefficient (α) and ensuring reliability of high-frequency temperature sensors, by integrating SR with computational fluid dynamics (CFD) and large eddy simulation (LES) models.

Study Configuration

• Spatial Scale: Flat tea plantation fields.
• Temporal Scale: High-frequency temperature variations (10 Hz), simulated fluctuations across different timescales (1 minute, 30 minutes).

Methodology and Data

• Models used: Surface Renewal (SR) theory, Computational Fluid Dynamics (CFD) models, Large Eddy Simulation (LES) models.
• Data sources: Simulated high-frequency temperature variations generated by LES/CFD models.

Main Results

• The Large Eddy Simulation (LES) model accurately simulates high-frequency temperature fluctuations in tea plantations, achieving R² values ranging from 0.72 to 0.99 across 1-minute and 30-minute timescales.
• A novel CFD-based method is proposed for determining the surface renewal calibration coefficient (α), which dynamically accounts for variations in atmospheric stability and terrain heterogeneity.
• The integrated CFD-based approach offers a cost-effective and simplified alternative to traditional eddy covariance systems for sensible heat flux estimation, maintaining high precision under diverse atmospheric conditions (sunny, cloudy, overcast, nighttime).

Contributions

• Development of a CFD-based method to dynamically determine the surface renewal calibration coefficient (α), improving its accuracy and applicability in heterogeneous environments and varying atmospheric conditions.
• Demonstration of LES model's capability to accurately simulate high-frequency temperature fluctuations, validating its use for precise sensible heat flux calculations.
• Introduction of a cost-effective and simplified alternative to eddy covariance systems for sensible heat flux measurements, broadening the practical application of surface renewal theory in crop water requirement research.

Funding

Not specified in the provided text.

Citation

@article{Li2025New,
  author = {Li, Yang and Hu, Yongguang and Lu, Yongzong and Fu, Yanan and Wang, Jizhang},
  title = {A New Approach to Sensible Heat Flux via CFD-Surface Renewal Integration},
  journal = {Agronomy},
  year = {2025},
  doi = {10.3390/agronomy15122708},
  url = {https://doi.org/10.3390/agronomy15122708}
}