Application of GIS in Urban Traffic Noise Pollution
Abstract
Large urban areas are facing growing problems of noise pollutions. Geospatial Information Systems (GIS) can conveniently be adapted to gather, analyze and present noise information. GIS can also be extended to answer to user specific problems through deterministic and statistics models. The objectives of this research were to measure urban traffic noise levels, analyze temporal and spatial dynamics of urban traffic- induced noise pollution in the first districted of Tehran estimate the noise for pollution concentration, assess the results of Federal Highway Administration Traffic Noise Model (FHWA-TNM) and Iranian Traffic Noise Predictor (ITNP); and represent them in a GIS environment. Measurements were done at the traffic peak time and also when the traffic was at its minimum, during three successive months. In this study, Leq, L10, L50, L90, Lmax and Lmin were gathered. The results demonstrated that most of commercial and residential regions surrounding the main streets are suffering from sever noise pollution. Processed data, spatial analysis and models are integrated within the framework of ArcGIS software environment, providing adequate tools to address noise issues. The assessment showed that the issue of noise pollution is currently ignored in urban regulations concerning environmental quality.
Li B, Shu T, Dawson RW. A GIS based road traffic noise prediction model. Appl Acoust 2002; 63: 679-691.
Ohrstrom E, Hadzibajramovic E, Holmes M, Svensson H. Effects of road traffic noise on sleep: Studies on children and adults. J Environ Psycho 2006; 26(2): 116-126.
Pamanikabud P, Tharasawatpipat C. Modeling of urban area stop-and-go traffic noise. Journal of Transportation Engineering, Am Society of Cil Eng (ASCE) 1999; 125(2): 152–159.
Bjork J, Ardo J, Stroh E, Lovkvist H, Ostergren P, Albin M. Road traffic noise in southern Sweden & its relation to annoyance, disturbance of daily activities and health., Scand J Work Environ & Health 2006; 32(5): 392-401.
Enmarker I. The effects of meaningful irrelevant speech and road traffic noise on teachers attention, episodic and semantic memory. Scand J of Psychol 2004; 45(5): 393-405.
Jevic J, Belojevic G, Paunovic K, Stojanov V. Road traffic noise and sleep disturbances in an urban population: Cross–sectional study. Croatian Med J 2006; 47(1): 125-133.
Omidvari M, Nouri J. Effects of noise pollution on traffic policemen. Inter J Environ Res 2008; 3(4): 645-652.
Stansfeld SA, Berglund B, Clark C, Lopez-Barrio I, Fischer P, Ohrstrom E. Aircraft and road traffic noise and childrens cognition and health: A cross-national study. Lancet, 365. 2005; 1942–1949.
WHO. Guidelines for Community Noise. Geneva: World Health Organization, Guideline Document 2000.
Doygun H, Gurun DK. Analysing and mapping spatial and temporal dynamics of urban traffic noise pollution: a case study in Kahramanmaraş, Turkey. Environ Monit Assess 2007. Published online.
FHWA. High way traffic noise in United States (problem and response). 2006 http://www.fhwa.dot.gov/environment/traffic noise.htm
Piccolo A, Plutino, D and Cannistraro G. Evaluation and analysis of the environmental noise of Messina, Italy. App Acoust 2004; 66(4): 465- 470
DEFRA, (2004). Noise mapping England, the London road traffic noise map. Available online: http://www. noisemapping.org
Abbaspour M, Golmohammadi R, Nassiri P, Mahjub H, An investigation on time-interval optimization of traffic noise measurement. J low freq noise, vibration and active control 2006; 25(4): 267-273.
Alesheikh AA, Sadeghi Naeeni Fard F. Design and Implementation of a Knowledge Based System to Improve Maximum Likelihood Classification Accuracy" Canadian J Remote Sensing, 2007; 33(6): 459-467.
Amirian P, Alesheikh AA and Bassiri A. Standards-based, Interoperable Services for Accessing Urban Services Data for the City of Tehran. Comput, Environ Urban Systems 2010; 34(4): 309-321.
Alesheikh AA, Soltani MJ, Nouri N, Khalilzadeh M. Land Assessment for Flood Spreading Site Selection Using Geospatial Information System. Inter J Environ Sci Technol 2008; 5(4): 455-462.
Hosseinali F, Alesheikh AA. Weighting spatial information in GIS for copper mining exploration. Am J App Sci 2008; 5(9): 1187-1198.
Abo-qudais S, Alhiary, A. Statistical model for traffic noise at signalized intersections. Build Environ 2007; 42: 2939-2948.
Tang UW, Wang ZS. Influences of urban forms on traffic–induced noise and air pollution: Results from a modeling system. Environ Model softw 2007; 22(12): 1750-1764.
Shu N, Cohn LF, Harris RA, Kim TK, Li W. Comparative evaluation of the ground reflection algorithm in FHWA traffic noise model (TNM2.5). App Acoust 2007; 68 (11): 1459-1467.
Morallis B, Gomez Escobar V, Mende Sierra JA, Gomez VR, Trujillo Carmona R. An environmental noise study in city of Caceres, Spain. Appl Acoust 2002; 63(10): 1061-1070.
Pamanikabud P, Vivitjinda P. Noise prediction for highways in Thailand. Transp Res, Part D 2002; 7(6): 441-449.
Hankard M, Cerjan J, Leasure J. Evaluation of the FHWA Traffic Noise Model (TNM) for highway traffic noise prediction in the State of Colorado. Report No. CDOT-2005-21, 2006.
Golmohammadi R, Abbaspour M, Nassiri P, Mahjub H. Road traffic noise model. J Res Health Sci 2007; 7(1): 13-17.
Golmohammadi R, Abbaspour M, Nassiri P, Mahjub H. A compact Model for predicting road traffic noise. Iran J Environ Health Sci Eng 2009; 6(3): 181-186.
| Files | ||
| Issue | Vol 2 No 2 (2010) | |
| Section | Articles | |
| Keywords | ||
| Noise pollution GIS FHWA-TNM Spatial analysis ITNP Iran | ||
| Rights and permissions | |
|
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
