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道路交通噪声不同预测模型之比较
引用本文:张玉环,张音波,江燕云.道路交通噪声不同预测模型之比较[J].环境工程,2012(Z1):79-83.
作者姓名:张玉环  张音波  江燕云
作者单位:环境保护部华南环境科学研究所
基金项目:中央级公益性科研院所基本科研业务费专项资金项目(基金编号:zx-200912-002)
摘    要:目前,我国在进行道路交通噪声环境影响评价工作中主要使用的预测模型有2009声导则模型、2006规范模型,此外,也有部分噪声评价工作采用了德国的CadnaA软件。因各种模型在使用条件和参数选取等方面存在不同,导致预测结果存在差异。如何选取合适的预测模型,一直是国内学者不断研究想解决的问题。本文对已有道路交通噪声进行现场实测,通过设计不同的预测模式进行模型验证,将预测结果与实测值进行比较,结果表明这五种噪声预测模式中,模式一、模式四、CadnaA软件的噪声预测值与实际情况最相符,模式一绝对预测误差昼间在3.3-6.0 dB(A)之间,夜间在-3.4-0.2 dB(A)之间。使用2009声导则模型、2006规范模型相结合的预测模式更为准确。

关 键 词:道路工程  预测模型  分析  交通噪声

COMPARISION ON THE ROAD TRAFFIC NOISE PREDICTION MODELS
Zhang Yuhuan Zhang Yinbo Jiang Yanyun.COMPARISION ON THE ROAD TRAFFIC NOISE PREDICTION MODELS[J].Environmental Engineering,2012(Z1):79-83.
Authors:Zhang Yuhuan Zhang Yinbo Jiang Yanyun
Institution:Zhang Yuhuan Zhang Yinbo Jiang Yanyun(South China Institute of Environmental Sciences.MEP,Guangzhou,510655,China)
Abstract:During the environmental impact assessment of traffic noise,we mainly used the noise guideline model of Version 2009 and the specification model of Version 2006.We also used the German software of Cadna A for the part of our evaluation work.Differences of the using conditions and parameters among these prediction models would lead to the differences of predicted results.How to select appropriate prediction model? Domestic scholars had been researching the problem and trying to solve it.This paper first monitored the road traffic noise values,and then designed 5 prediction models to verify the predicted results and the monitored values.The predicted results of the prediction model 1,prediction model 2 and the software of Cadna A conformed to the monitored values relatively in the 5 prediction models.The difference between the predicted and the monitored of prediction model 1 ranged from 3.3-6.0 dB in the daytime and-3.4-0.2 dB in the night time.It could be found that,the predicted results of traffic noise by noise guideline model of Version 2009 and the specification model of Version 2006 combined will be more accurately.
Keywords:road engineering  prediction model  analysis  traffic noise
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