Impact of anthropogenic heat emissions on meteorological parameters and air quality in Beijing using a high-resolution model simulation

Highlights

• The Large scale Urban Consumption of energY model was updated and coupled with WRF.

• Anthropogenic heat emissions altered the precipitation and its spatial distribution.

• A reasonable AHE scheme could improve the performance of simulated PM_2.5.

• AHE aggravated the O₃ pollution in urban areas.

Abstract

Anthropogenic heat emissions (AHE) play an important role in modulating the atmospheric thermodynamic and kinetic properties within the urban planetary boundary layer, particularly in densely populated megacities like Beijing. In this study, we estimate the AHE by using a Large-scale Urban Consumption of energY (LUCY) model and further couple LUCY with a high-resolution regional chemical transport model to evaluate the impact of AHE on atmospheric environment in Beijing. In areas with high AHE, the 2-m temperature (T₂) increased to varying degrees and showed distinct diurnal and seasonal variations with maxima in night and winter. The increase in 10-m wind speed (WS₁₀) and planetary boundary layer height (PBLH) exhibited slight diurnal variations but showed significant seasonal variations. Further, the systematic continuous precipitation increased by 2.1 mm due to the increase in PBLH and water vapor in upper air. In contrast, the precipitation in local thermal convective showers increased little because of the limited water vapor. Meanwhile, the PM_2.5 reduced in areas with high AHE because of the increase in WS₁₀ and PBLH and continued to reduce as the pollution levels increased. In contrast, in areas where prevailing wind direction was opposite to that of thermal circulation caused by AHE, the WS₁₀ reduced, leading to increased PM_2.5. The changes of PM_2.5 illustrated that a reasonable AHE scheme might be an effective means to improve the performance of PM_2.5 simulation. Besides, high AHE aggravated the O₃ pollution in urban areas due to the reduction in NO_x.

Graphical abstract

Keywords

Anthropogenic heat emissions / LUCY / High-resolution / Meteorological parameters / Air quality

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Acknowledgements

This work was supported in part by the National Key R & D Program of China (Grant No. 2018YFC0213502), the National Natural Science Foundation of China (Grant No. 41907190), and the Beijing Municipal Commission of Science and Technology (No. Z19110000119004). We acknowledge the Tsinghua National Laboratory for Information Science and Technology for providing access to the “Explorer 100” cluster system.

Electronic Supplementary Material

Supplementary material is available in the online version of this article at https://doi.org/10.1007/s11783-021-1478-3 and is accessible for authorized users.

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