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International Journal of Environment Science and Technology
Center for Environment and Energy Research and Studies (CEERS)
ISSN: 1735-1472 EISSN: 1735-1472
Vol. 13, No. 5, 2016, pp. 1235-1244
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Bioline Code: st16117
Full paper language: English
Document type: Research Article
Document available free of charge
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International Journal of Environment Science and Technology, Vol. 13, No. 5, 2016, pp. 1235-1244
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An inland waterway traffic noise prediction model for environmental assessment in China
Dai, B. L.; Sheng, N.; He, Y. L.; Xu, J. M. & Zhu, A. F.
Abstract
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.
Keywords
Inland waterway; Schall 03 model; Vessel traffic noise; Water surface influence
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