• Large eddy simulation (PALM) for megacities Nanjing and Dongguan, China

We use the PALM system to simulate the transport of traffic-related emissions in Nanjing and Dongguan. This model was developed by the PALM group at the Leibniz University Hannover and was developed as a turbulence-resolving LES model system especially for performing on massively parallel computer architecture.

Please refer to Zhang et al. 2021 for more details.

 

 

 

• Convolutional Neural Network (CNN) based app

PALM model provides high-resolution and accurate simulations of urban air quality but extremely computational expensive. We developed a CNN-based machine learning approach to replace the PALM with AI.

Please refer to Wang et al. 2024 for more details.