Research On Noise Spatial Distribution Model Of Residential Area Near The Road

With the urban development and the improvement of road infrastructure gradually, as well as people's awareness of environmental protection and improvement of environmental quality, environmental noise has become more and more affected by environmental concerns. Therefore, it is necessary to predict and evaluate the environmental noise before the project construction, and it's of great significance for environmental pollution control, management and planning. etc.Residential area is important for people's daily activities, but it is suffered by more and more noise. After completion of the planning project, we want to know the noise distribution and predict noise. According to the predictions, analyze spatial distribution, time distribution and the probability distribution characteristics of the noise objectively and effectively with help of computer simulation technology, and adjust the design based on the Urban Regional Environmental Noise Standards, so as to control the noise at Planning Stage effectively, Further more, the purpose of optimizing residential environment can be achieved. There are many problems of noise prediction models though each has its own advantages on specific applications. This paper uses the advantages of the neural network toestablish a prediction model based on the BP neural network. Innovation of this paper are: (1) Base on BP neural network to establishment a noise prediction model for small area, complement and developed a new method of noise prediction; (2) the noise prediction model combined with 3DCM , complex the sound field on nonlinear modeling. Experimental results shows that based on neural network noise prediction model has self-organization, global optimization and fault-tolerant learning abilities, neural networks can learn through the sample noise in the buildings of the acoustic field in non-linear modeling, which has a good predictive ability; The noise prediction model combined with 3DCM is a good simulation of noise in buildings in the distribution. Prediction of noise based on neural network combine with three-dimensional city models (3DCM), is better for information expression and analysis applications, offer scientific and effective supporting evidence to government departments for urban planning, management and decision-making.