Spatial modelling of railway noise propagation

Authors

  • Kazemzadeh, Ali University of Tehran
Abstract:

In recent decades, population growth and progress of technology have shaped large and compact urban settlements. Existence of huge transportation systems and developed urban infrastructures are among the most important properties of modern cities. In spite of prompt transit and facilitated daily activities, development of transportation systems causes many problems, including traffic, air and noise pollutionand so on. Noise pollution as one of the most important human health threats can cause annoyance, sleep disturbance, decreased learning ability and even cardiovascular problems and blood pressure in long time. Sound is caused by a wide range of activities and processes. Road traffic, railways, airplanes landing, workrooms, industries and communicate places are the most important noise sources. Awareness of the noise emission status in urban environments and the identification of people at risk are primary steps that should be taken in planning as a basic information to reduce vulnerability. Currently, trains running along railways, after traffic jams, are ecoming the crucial  source of noise pollution. This is especially important in a large city such as Tehran, which crosses the rails a long way in residential areas. In this study, a spatial approach was used to model the noise pollution caused by railway transport in Tehran. To this end, the RMR standard was used to calculate the noise level generated in the source of sound (rail path). The noise emission and its attenuation in the environment was also modeled based on the method presented in ISO 9613-2. According to the results, the railway noise range in the studied area varies from 43 to 88 dB. The comparison of the estimated noise level with the measured values indicates a 3.5 dB RMSE. The overlapping of the noise map with the demographic data indicates that around 200,000 people are exposed to noise pollution of more than 70 dB and about 730,000 are exposed to noise pollution greater than 60 dB. Obviously, in the absence of proper residential insulation, the health of a large population of residents adjacent to the railway is at serious risk.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Modelling Error Propagation for Spatial Consistency

Currently, there are numerous effective models for managing error propagation in data manipulation and analysis. But the method is still lack in handling spatial consistency. This paper focuses on the algorithms and models of error propagation for spatial consistency, investigating the basic types of spatial data inconsistency and the procedures for correcting them. Since the correction operati...

full text

Comparison of Annoyance from Railway Noise and Railway Vibration

The aim of this study is to compare vibration exposure to noise exposure from railway traffic in terms of equal annoyance, i.e., to determine when a certain noise level is equally annoying as a corresponding vibration velocity. Based on questionnaire data from the Train Vibration and Noise Effects (TVANE) research project from residential areas exposed to railway noise and vibration, the dose r...

full text

Noise Modelling and Uncertainty Propagation for TOF Sensors

Time-of-Flight (TOF) cameras are active real time depth sensors. One issue of TOF sensors is measurement noise. In this paper, we present a method for providing the uncertainty associated to 3D TOF measurements based on noise modelling. Measurement uncertainty is the combination of pixel detection error and sensor noise. First, a detailed noise characterization is presented. Then, a continuous ...

full text

Wind Turbine Noise Propagation Modelling: An Unsteady Approach

Wind turbine sound generation and propagation phenomena are inherently time dependent, hence tools that incorporate the dynamic nature of these two issues are needed for accurate modelling. In this paper, we investigate the sound propagation from a wind turbine by considering the effects of unsteady flow around it and time dependent source characteristics. For the acoustics modelling we employ ...

full text

Propagation of errors in spatial modelling with GIS

One of the most powerful capabilities of GIS, particularly for the earth and environmental sciences, is that it permits the derivation of new attributes from attributes already held in the GIS database. For example, elevation data in the form of a digital elevation model (DEM) can be used to derive maps of gradient and aspect (Hutchinson and Gallant, Chapter 9); or digital maps of soil type and...

full text

Modelling Delay Propagation in Railway Networks Using Closed Family of Distributions

We present a new method to describe the long-run behaviour of a railway network in which moderate disturbances delay the traffic. The distribution functions of the source delays are supposed to be known and we calculate the distribution of the propagated delays across the network. In particular, we give conditions under which a stable operation of the network is possible. Technically, we assume...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 7  issue 1

pages  145- 168

publication date 2019-05

By following a journal you will be notified via email when a new issue of this journal is published.

Keywords

No Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023