环境感知、建模与计算
Owl Lab 研究线索 03
环境感知、建模与计算
如何更准确、高效地感知、量化和模拟城市环境过程？
让方法更适合真实问题
城市环境研究依赖我们能够看到什么、测量什么，以及如何把复杂过程转化为可以分析和模拟的信息。这一研究线关注环境感知、微气候模拟与计算方法的适用性，通过验证、校准、参数化、模型简化与计算加速，提升不同方法在真实城市问题中的准确性、效率与可用性。
概念范围
感知 → 量化 → 建模 → 修正 → 加速
Selected published work
Ouyang et al. (2021). Evaluating the thermal-radiative performance of ENVI-met model for green infrastructure typologies: Experience from a subtropical climate. Building and Environment, 108427. DOI →
Ouyang et al. (2022). Comparing Different Recalibrated Methods for Estimating Mean Radiant Temperature in Outdoor Environment. Building and Environment, 109004. DOI →
Supporting methodological work
- Sinsel et al. (2022). Implementation and evaluation of mean radiant temperature schemes in the microclimate model ENVI-met. Urban Climate.
- Liu et al. (2023). Modeling microclimatic effects of trees and green roofs/façades in ENVI-met: Sensitivity tests and proposed model library. Building and Environment.
- Schöneberger et al. (2025). Enhancing urban microclimate simulations: Validating ENVI-met’s accuracy in modeling multi-directional radiative fluxes and mean radiant temperature in subtropical Hong Kong. Building and Environment.
- Wang et al. (2025). A multi-scale mapping approach of local climate zones: A case study in Hong Kong. Urban Climate.