Urban climate and building adaptation strategies

Two-way coupled numerical simulation between outdoor thermal environment and PM2. 5 in urban blocks

Meilin Wang, Hang Ma, Xing Zheng, Chun Han, Pengyuan Shen

2025

Building and Environment

Two-way coupled numerical simulation between outdoor thermal environment and PM2. 5 in urban blocks

Calculation logic of different models.

Summary

This study develops a bidirectional model (TWC) linking urban thermal environments and PM2.5 via momentum and heat coupling, validated with high R² values (0.81–0.79) and outperforming one-way/non-coupled models by reducing RMSE (e.g., PM2.5 by 24.22%), demonstrating enhanced accuracy in simulating their interactions.

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.

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Publication Details

Journal

Building and Environment

Publication Year

2025

Authors

Meilin Wang, Hang Ma, Xing Zheng, Chun Han, Pengyuan Shen

Categories

Urban climate and building adaptation strategies