Development of a traffic noise prediction model on inland waterway of China using the FHWA

Dai, Benlin; He, Yong; Mu, Feihu; Xu, Ning; Wu, Zhen

doi:10.1016/j.scitotenv.2013.06.019

Cited by 25 publications

(24 citation statements)

References 16 publications

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“…Therefore, dividing channel into k segments, and considering the effect of water surface attenuation, the model for each segment to predict the inland waterway traffic noise based on the Schall 03 can be mathematically described as (Richtlinie zur berechnung der schallimmissionen von schienenwegen 1990; Kurze and Weißenberger 2003;Möhler et al 2006;Prascevic et al 2013;Dai et al 2014Dai et al , 2015 …”

Section: Mathematical Modelmentioning

confidence: 99%

“…The distance attenuation parameter b due to water surface absorption can be mathematically expressed as (Dai et al 2014(Dai et al , 2015 b…”

Section: The Air Absorption Attenuation Correction D Lkmentioning

confidence: 99%

“…Possible reasons may be due Dai et al (2014; to neglecting effects of water surface condition in the field when utilize the modified FHWA model to assess noise levels (see Table 6 method, for instance, the reference speed is used instead of the actual average speed in the model (Möhler et al 2006;Chang et al 2012). These limitations may cause 0.339 dBA in the mean square error between the measured and predicted traffic noise levels.…”

Section: Model Comparisonmentioning

confidence: 99%

“…In addition, no water surface gradient along vessel travel direction and river bank shielding corrections are applied in this improved model because of the lack of related information. This uncorrected factor may contribute to overestimated inland waterway traffic noise levels among the surrounding areas (Dai et al 2014). However, this limitation can be overcome when these data are available for each study case.…”

Section: Model Comparisonmentioning

confidence: 99%

“…However, in addition to the modified Federal Highway Administration (FHWA) and Richtlinien für den Lärmschutz an Straßen (RLS 90) models by Dai et al (2014Dai et al ( , 2015, there is still lack of suitable methods for predicting the inland waterway traffic noise. The railway traffic noise prediction models are usually utilized to assess inland waterway traffic noise exposure level.…”

Section: Introductionmentioning

confidence: 99%

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An inland waterway traffic noise prediction model for environmental assessment in China

Dai

Sheng

et al. 2016

Int. J. Environ. Sci. Technol.

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This paper aimed at proposing an inland waterway traffic noise prediction model for environmental assessment in China. The study was the first to predict inland waterway traffic noise levels considering water surface condition and absorption influence in China. The analysis results indicated that the inland waterway traffic noise exposure levels can be influenced by water surface. The model was developed based on the Germany Schall 03 model by adding the water surface condition and absorption correction terms to the governing equations. Results showed that the predicted noise levels by the developed model correlated well with the measurements. In addition, the developed model had higher precision compared with the existing models such as the Schall 03 model, the modified US Federal Highway Administration (FHWA) model and the modified Germany Richtlinien für den Lärmschutz an Straßen (RLS 90) model. The proposed model can be utilized to assess inland waterway traffic noise exposure in China.

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Section: Mathematical Modelmentioning

confidence: 99%

“…The distance attenuation parameter b due to water surface absorption can be mathematically expressed as (Dai et al 2014(Dai et al , 2015 b…”

Section: The Air Absorption Attenuation Correction D Lkmentioning

confidence: 99%

Section: Model Comparisonmentioning

confidence: 99%

Section: Model Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An inland waterway traffic noise prediction model for environmental assessment in China

Dai

Sheng

et al. 2016

Int. J. Environ. Sci. Technol.

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School-reopening impact on traffic-induced noise level at different land uses: a case study

Monazzam

Karimi

Nassiri

et al. 2015

Int. J. Environ. Sci. Technol.

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Reopening of schools is usually associated with increased urban traffic and is likely to exacerbate trafficinduced noise level in metropolitan cities. This study was performed to investigate the role of reopening of schools on noise level in one of the most crowded districts of Tehran City. For this, two different noise criteria of LAeq 10min and SPL were measured during working days at three occasions of morning, noon, and evening in summer (school holiday season) and autumn (reopening season of schools in Iran). According to the results, the average equivalent sound pressure level was 72.3 dB(A) in summer and 72.9 dB(A) in autumn. The P value of 0.44 obtained from t test indicated that there is no significant difference between the equivalent sound pressure level of the holiday and reopening seasons in the district. Further, the value of the indices Traffic Noise Index, Noise Impact Index, and noise pollution level was constant within both seasons studied. This may be due to the rigid surface of the passages such as asphalt pavement, and high-rise buildings, as well as the facade of buildings that can gradually overshadow the role of school-induced traffic on noise pollution in metropolitan cities.

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Inland waterway traffic noise prediction model: a comparison

Dai

Sheng

Huang

et al. 2023

Int. J. Environ. Sci. Technol.

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Development of a traffic noise prediction model on inland waterway of China using the FHWA

Cited by 25 publications

References 16 publications

An inland waterway traffic noise prediction model for environmental assessment in China

An inland waterway traffic noise prediction model for environmental assessment in China

School-reopening impact on traffic-induced noise level at different land uses: a case study

Inland waterway traffic noise prediction model: a comparison

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