Noise mapping technology of high-speed railway based on GIS

Yanliang Li, Lanhua Liu, Zhiqiang Li

Article ID: 1669
Vol 5, Issue 2, 2022, Article identifier:16-24

VIEWS - 67 (Abstract) 27 (PDF)

Abstract


In order to promote the application of noise map in high-speed railway noise management, the high-speed railway noise map drawing technology based on the combination of noise prediction model and geographic information system (GIS) is studied. Firstly, according to the distribution characteristics of noise sources and line structure characteristics of high-speed railway, the prediction model of multi equivalent sound sources and the calculation method of sound barrier insertion loss of high-speed railway are optimized; secondly, a three-dimensional geographic information model of a high-speed railway is built in GIS software, and the railway noise prediction technology based on the model is developed again; then, the noise of discrete nodes is calculated, and the continuous noise distribution map is drawn by spatial interpolation. The research results show that the comparison error between the noise map of a high-speed railway drawn by this technology and the measured results is less than 1 dB (A), which verifies the accuracy and practicality of the high-speed railway noise map, and can be used as a reference for the railway noise management department to formulate noise control countermeasures.


Keywords


High Speed Railway; Noise Prediction Model; Equivalent Sound Source; GIS; Noise Map

Full Text:

PDF


References


Fan C, Wang T, Zhou B, et al. The development trend of noise map. Environmental Engineering 2016; 34(Supplement 1): 1095–1098.

Manvell D, Ballarin ML, Stapelfeldt H, et al. SADMAM combining measurements and calculations to map noise in Madrid. INTER-NOISE and NOISE-CON Congress and Conference Proceedings; 2004 Aug 22. Prague: Institute of Noise Control Engineering; 2004. p. 1998–2005.

Peng Y. Making and application of road traffic noise map of Luohu district of Shenzhen City. Environmental Monitoring and Forewarning 2014; 6(2): 42–44.

Xia D, Zhou Y, Zhu W. Study on application of noise mapping to noise environment management. Noise and Vibration Control 2013; 33(4): 162–166.

Cai M, Chen H, Ma X. 3D noise map based on GIS and OpenGL. Environmental Engineering 2015; 33(5): 111–113.

Su W, Pan X, Ye P. The study of acoustic computing model for the noise barrier of high-speed railway. China Railway Science 2013; 34(1): 126–130.

Ju L, Ge J, Guo Y. Model of high-speed railway noise prediction based on multi-source mode. Journal of Tongji University: Natural Science 2017; 45(1): 58–63.

Liu L, Sun J, Li Z, et al. A research on the calculation method of noise reduction effect of high-speed railway noise barriers based on 3 equivalent noise source model. Railway Transport and Economy 2018; 40(10): 81–87.

Li Y, Li Z, He C, et al. External noise source identification of Chinese high-speed EMU based on algorithm optimization. China Railway Science 2019; 40(1): 94–101.

Wu X. A study on the prediction methods of railway environmental noise. Railway Transport and Economy; 2018, 40(12): 98–103.

Li Z, Liu L. A new method for calculating the additional length of noise barrier on high-speed railway. Proceedings of 2020 Western China Acoustic Symposium. Shanghai: Technical Acoustics; 2020: 312–315.




DOI: http://dx.doi.org/10.24294/jgc.v5i2.1669

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License

This site is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.