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首页> 外文期刊>Science of the total environment >Development of a traffic noise prediction model on inland waterway of China using the FHWA
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Development of a traffic noise prediction model on inland waterway of China using the FHWA

机译：基于FHWA的中国内陆河道交通噪声预测模型的建立。

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摘要

Based on the local environmental standards, vessels types and traffic conditions, an inland waterway traffic noise prediction model was developed for use in China. This model was modified from the US FHWA model by adding the ground absorption and water surface attenuation correction terms to the governing equations. The parameters that were input into the equations, including traffic flow, vessel speed, distance from the center of the inland waterway to the receiver, position and height of the barriers and buildings, location of the receiver, type of ground, percentage of soft ground cover within the segment, and water surface conditions were re-defined. The model was validated by comparing the measured noise levels obtained at 33 sampling sites from Shugang Channel, Yanhe Channel and Danjinlicaohe Channel in China with the predicted values. The deviation between the predicted and measured noise levels within the range of ±1.5 dB(A) was 81.8%. The mean difference between the predicted and measured noise levels was 0.15 ± 1.75 dB(A). However, the noise levels predicted developed model are generally higher than the measured levels. Overall, the comparison has proved that the developed method is of a high precision, and that it can be applied to estimate the traffic noise exposure level on inland waterway in China.
机译：根据当地环境标准，船舶类型和交通状况，开发了内河航道交通噪声预测模型，供中国使用。该模型是通过将地面吸收和水面衰减校正项添加到控制方程式而从美国FHWA模型中修改而来的。输入到方程式中的参数，包括交通流量，船只速度，从内陆水道中心到接收器的距离，障碍物和建筑物的位置和高度，接收器的位置，地面的类型，软地面的百分比覆盖段内，重新定义了水面条件。通过比较中国疏港航道，沿河航道和丹金里高河航道的33个采样点的测得噪声水平与预测值，对模型进行了验证。在±1.5 dB（A）范围内，预测噪声水平与测量噪声水平之间的偏差为81.8％。预测噪声电平与测量噪声电平之间的平均差为0.15±1.75 dB（A）。但是，噪声水平预测的已开发模型通常高于测得的水平。总体而言，比较结果表明，该方法具有较高的精度，可用于估算我国内河航道交通噪声暴露水平。

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  • 来源
    《Science of the total environment》 |2014年第1期|480-485|共6页
  • 作者

    Ben-lin Dai; Yu-long He; Fei-hu Mu; Ning Xu; Zhen Wu;

  • 作者单位

    Jiangsu Key Laboratory for Biomass-based Energy and Enzyme Technology, Huaiyin Normal University, Huaian 223300, PR China,Jiangsu Key Laboratory for Chemistry of Low-Dimensional Material, Huaiyin Normal University, Huaian 223300, PR China,School of Chemistry and Chemical Engineering, Huaiyin Normal University, No. 111, Changjiang West Road, Huaian City, Jiangsu Province 223300, PR China;

    School of Earth Science and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, PR China;

    Jiangsu Key Laboratory for Chemistry of Low-Dimensional Material, Huaiyin Normal University, Huaian 223300, PR China;

    Jiangsu Key Laboratory for Biomass-based Energy and Enzyme Technology, Huaiyin Normal University, Huaian 223300, PR China;

    Jiangsu Key Laboratory for Biomass-based Energy and Enzyme Technology, Huaiyin Normal University, Huaian 223300, PR China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Prediction model; Ground absorption; Water surface attenuation; Traffic noise; Inland waterway;

    机译：预测模型;地面吸收;水面衰减;交通噪音;内河航道;

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