Traffic noise is the main noise factors of university campuses, especially for the new campuses which have internal roads beneath the ground. In this paper, the method of noise prediction was used to predict and assess the noise level of the new campus of Anhui University of Science and Technology so as to provide the corresponding database and technical support for the environment planning. By measuring the traffic flow and traffic noise of different types of motor vehicles in the old campus, the traffic noise prediction model of the new campus was built through the noise prediction software Cadna/ A. Then the noise distribution diagram was drawn and the corresponding noise control measures were proposed. The result shows that the noise level of the campus can meet the noise standards of domestic first-grade area by constructing enclosing wall around the campus and setting the noise barrier around the internal north-south road beneath the ground.%交通噪声是造成高校环境噪声超标的主要因素,尤其对城市道路下穿校园的新校区影响更大.运用噪声预测方法对在建的安徽理工大学新校区进行噪声预测评估,为其环境规划提供相应的依据和技术支持.通过测量统计校园周围道路不同类型的机动车流量数据,结合测量已有道路的交通噪声,利用Cadna/A噪声预测软件,建立新校区交通噪声模型,计算并绘制噪声网格分布图,并提出相应噪声控制措施.结果表明,通过采取在校园四周增加围墙,并在南北下穿城市道路旁设置声屏障等措施后,可以改善校园声环境,使其达到国家Ⅰ类地区噪声规定标准.
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