Meilin Wang , Hang Ma , Xing Zheng , Chun Han , Pengyuan Shen
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引用次数: 0
Abstract
While recent studies have explored the influence of outdoor thermal environment parameters on the dispersion of fine particulate matter (PM2.5), or conversely the impact of PM2.5 on urban thermal balance, integrated models that quantify the bidirectional feedback mechanisms between these factors are rarely discussed. This research developed a two-way coupled (TWC) numerical model that integrates the thermal environment and PM2.5 in urban blocks. The proposed model establishes the two-way interactions by coupling momentum exchange between PM2.5 and airflow speed using the discrete phase model (DPM) and the coupling heat balance between PM2.5 concentration and thermal radiation using the discrete ordinates (DO) model. The simulation results of the TWC model, validated against actual measurement data, yielded average coefficients of determination (R2) of 0.81 for air temperature, 0.73 for wind speed, and 0.79 for PM2.5 concentration. To evaluate the effectiveness of our model, we also constructed two "one-way coupled" models, which consider the unidirectional influence, and the traditional uncoupled model that neglects these interactions. Numerical simulation results indicated that the TWC model reduced the root mean square error (RMSE) of air temperature, wind speed, and PM2.5 concentration by 0.12 °C (0.28 %),0.02 m/s (89.67 %),2.74 μg/m3 (24.22 %) compared to the non-coupled model, respectively.
期刊介绍:
Building and Environment, an international journal, is dedicated to publishing original research papers, comprehensive review articles, editorials, and short communications in the fields of building science, urban physics, and human interaction with the indoor and outdoor built environment. The journal emphasizes innovative technologies and knowledge verified through measurement and analysis. It covers environmental performance across various spatial scales, from cities and communities to buildings and systems, fostering collaborative, multi-disciplinary research with broader significance.