Modelling and evaluation of light railway system's noise using neural predictors


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Erkaya S., Geymen A. , BOSTANCI B.

JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE AND ENGINEERING, cilt.13, 2015 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 13
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1186/s40201-015-0173-3
  • Dergi Adı: JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE AND ENGINEERING

Özet

Background: Noise is defined as a sound or series of sounds that are considered to be invasive, irritating, objectionable and disruptive to the quality of daily life. Noise is one of the environmental pollutants, and in cities it is usually originated from road traffic, railway traffic, airports, industry etc. The tram is generally considered as environmentally friendly, namely non-polluting and silent. However complaints from residents living along the tramway lines prove that it may sometimes cause annoyance. In this study, a Global Pointing System (GPS) receiver for determining the sampling locations and a frequency based noise measurement system for collecting the noise data are used to analyse the noise level in the city centre. Both environmental (background) and tram noises are measured.