Abstract: Based on the types of campus noise sources and their characteristics, on-site noise monitoring was carried out in multiple areas of the campus. Based on the measured data, and with the combination of the principle of geometric divergence and attenuation of sound energy, Cadna/A software was used to simulate and predict the campus noise. Through the comparative analysis of the measured data and prediction results, noise reduction measures were proposed. The results showed that the combination of experiments and numerical simulations could better reflect the characteristics of campus noise and had strong operability, making up for the shortage of experimental work and providing useful reference for effective campus noise management in the future.