GIS model for identifying urban areas vulnerable to noise pollution: case study

Abstract

The unprecedented expansion of the national car ownership over the last few years has been determined by economic growth and the need for the population and economic agents to reduce travel time in progressively expanding large urban centres. This has led to an increase in the level of road noise and a stronger impact on the quality of the environment. Noise pollution generated by means of transport represents one of the most important types of pollution with negative effects on a population’s health in large urban areas. As a consequence, tolerable limits of sound intensity for the comfort of inhabitants have been determined worldwide and the generation of sound maps has been made compulsory in order to identify the vulnerable zones and to make recommendations how to decrease the negative impact on humans. In this context, the present study aims at presenting a GIS spatial analysis model-based methodology for identifying and mapping zones vulnerable to noise pollution. The developed GIS model is based on the analysis of all the components influencing sound propagation, represented as vector databases (points of sound intensity measurements, buildings, lands use, transport infrastructure), raster databases (DEM), and numerical databases (wind direction and speed, sound intensity). Secondly, the hourly changes (for representative hours) were analysed to identify the hotspots characterised by major traffic flows specific to rush hours. The validated results of the model are represented by GIS databases and useful maps for the local public administration to use as a source of information and in the process of making decisions.

Keywords

GIS modelling / noise pollution / sound intensity / environmental impact / vulnerability

References

[1] Anees M M, Qasim M, Bashir A (2013). Physiological and physical impact of noise pollution on environment. Asian Journal of Environmental and Earth Sciences, 1(1): 25–31

[2] Babisch W (2004). Health aspects of extra-aural noise research. Noise Health, 6(22): 69–81

[3] Babisch W (2006). Transportation noise and cardiovascular risk: updated review and synthesis of epidemiological studies indicate that the evidence has increased. Noise Health, 8(30): 1–29

[4] Babisch W, Beule B, Schust M, Kersten N, Ising H (2005). Traffic noise and risk of myocardial infarction. Epidemiology, 16(1): 33–40

[5] Baloye D O, Palamuleni L G (2015). A comparative land use-based analysis of noise pollution levels in selected urban centers of Nigeria. Int J Environ Res Public Health, 12(10): 12225–12246

[6] Belojevic G, Jakovljevic B, Stojanov V, Paunovic K, Ilic J (2008). Urban road traffic noise and blood pressure and heart rate in preschool children. Environ Int, 34(2): 226–231

[7] Berglund B, Lindvall T, Dietrich H S (1999). Guidelines for community noise. Geneva: World Health Organization

[8] Berglund B, Lindvall T (1995). Community Noise. Stockholm: Center for Sensory Research

[9] Bluhm G, Nordling E, Berglind N (2004). Road traffic noise and annoyance: an increasing environmental health problem. Noise Health, 6: 43–49

[10] Carter N L (1996). Transportation noise, sleep, and possible after-effects. Environ Int, 22(1): 105–116

[11] Darabont A, Iorga I, Ciodaru, M (1983). Noise and vibration measurement in technical domains. Buccharest: Editura Tehnică (in Romanian)

[12] Dzhambov A M, Dimitrova D D (2014). Urban green spaces’ effectiveness as a psychological buffer for the negative health impact of noise pollution: a systematic review. Noise Health, 16(70): 157–165

[13] Dzhambov A M, Dimitrova D D, Turnovska T H (2014). Improving traffic noise simulations using space syntax: preliminary results from two roadway systems. Archives of Industrial Hygiene and Toxicology, 65: 259–272

[14] Environmental Protection Agency (1974). Information on levels of environmental noise requisite to protect public health and welfare with an adequate margin of safety. EPA/ONAC Report 550/9-74-004. Washington, DC

[15] European Environment Agency (2010).  Good practice guide on noise exposure and potential health effects, EEA Technical report No 11/2010, Copenhagen,

[16] European Environment Agency (2014). Noise in Europe, Report No 10/2014, Copenhagen,

[17] European Federation for Transport and Environment (2008). Can you hear us? Why it is finally time for the EU to tackle the problem of noise from road and rail traffic. Jos Dings, ed. Brussels: T&E

[18] European Parliament (2002). Directive 2002/49/EC of the European Parliament and of the Council of 25 June 2002 relating to the assessment and management of environmental noise. Official Journal of the European Communities, L(189): 12–25

[19] Farca Fș A, Sivertun (2009). Road Traffic noise: GIS Tools for Noise Mapping and a Case Study of SKANE Region. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 34, Part XXX

[20] Garg N, Maji S (2014). A critical review of principal traffic noise models: strategies and implications. Environmental Impact Assessment Review,  46: 68–81

[21] Haq M A, Islam M M, Ali M S, Haque M F, Akhand M M R (2012). Status of noise pollution in mixed areas of Dhaka City: a GIS approach. Journal of Environmental Science & Natural Resources, 5(1): 09–17

[22] Ising H, Kruppa B (2004). Health effects caused by noise: evidence from the literature from the past 25 years. Noise Health, 6: 5–13

[23] Jazani R K, Saremi M, Rezapour T, Kavousi A, Shirzad H (2015). Influence of traffic-related noise and air pollution on self-reported fatigue. Int J Occup Saf Ergon, 21(2): 193–200

[24] Job R F S (1999). Noise sensitivity as a factor influencing human reaction to noise. Noise Health, 3: 57–68

[25] Joint Research Centre (2011), Institute for environment and sustainability. Publications office of the European Union, Luxemburg,

[26] Kephalopoulos S, Paviotti M (2013). Noise maps from different national assessment methods: differences, uncertainties, and needs for harmonization. In: Licitra G, ed. Noise Mapping in the EU: Models and Procedures. London: CRC Press

[27] Konecni V J (1975). The mediation of aggressive behavior. arousal level versus anger and cognitive labeling. J Pers Soc Psychol, 32(4): 706–712

[28] Kucas A, Hoej J, Frederiksen R (2007). Efficient Noise Mapping using ArcGIS and detailed Noise Propagation Simulation, In: ESRI European User Conference

[29] Licitra G (2013). Noise Mapping in the EU: Models and Procedures. London: CRC Press

[30] Licitra G, Ascari E (2013). The Good Practice Guide,Version 2'. In: Licitra G, ed. Noise Mapping in the EU: Models and Procedures, London: CRC Press

[31] Maschke C, Hecht K (2007). Stress and noise – the psychological/physiological perspective and current limitations. In: Luxon L, Prasher D, eds. Noise and Its Effects. Chichester: John Wiley & Sons

[32] Mathews K E, Cannon L K (1975). Environmental noise level as a determinant of helpful behavior. J Pers Soc Psychol, 32(4): 571–577

[33] Méline J, Van Hulst A, Thomas F, Karusisi N, Chaix B (2013). Transportation noise and annoyance related to road traffic in the French RECORD study. Int J Health Geogr, 12(1): 44

[34] Mihăiescu T, Mihăiescu R (2009). Traffic noise pollution in urban areas. Case study –Bistrita town. Proenvironment/Promediu, 2: 222–225

[35] Olson H F (1967). Music, Physics and Engineering. Dover Publications

[36] Pandya G H (2003). Assessment of traffic noise and its impact on the community. Int J Environ Stud, 60(6): 595–602

[37] Passchier-Vermeer W, Passchier W F (2000). Noise exposure and public health. Environ Health Perspect, 108(s1 Suppl. 1): 123–131

[38] Quamrul A M, Shahadat H M, Azharul I M (2015). Noise pollution assessment in Jamalpur Municipal Area, Bangladesh, International. Res J Environ Sci, 4(6): 52–58

[39] Reed S E, Boggs J L, Mann J P (2010). SPreAD-GIS: an ArcGIS toolbox for modeling the propagation of engine noise in a wildland setting. Version 2.0. The Wilderness Society, San Francisco, CA

[40] Reed S E, Boggs J L, Mann J P (2012). A GIS tool for modeling anthropogenic noise propagation in natural ecosystems. Environ Model Softw, 37: 1–5

[41] Sheng N, Tang U W (2011). Spatial analysis of urban form and pedestrian exposure to traffic noise. Int J Environ Res Public Health, 8(12): 1977–1990

[42] Stansfeld S A, Matheson M P (2003). Noise pollution: non-auditory effects on health. Br Med Bull, 68(1): 243–257

[43] Stansfeld S, Clark C (2011). Outcomes of the European network on noise and health (ENNAH). In: 40th International Congress and Exposition on Noise Control Engineering, Proceedings of INTERNOISE 2011. Osaka, 25–29

[44] Sternberg R J (1999). Handbook of Creativity. Cambridge University Press

[45] Swain B K, Goswami S (2013). Integration and comparison of assessment and modeling of road traffic noise in Baripada town, India. International Journal of Energy and Environment, 4(2): 303–310

[46] Tsai K T, Lin M D, Chen Y H (2009). Noise mapping in urban environments: a Taiwan study. Appl Acoust, 70(7): 964–972

[47] Van Blokland G, Peeters B (2009). Modelling the noise emission of road vehicles and results of recent experiments. Internoise, Ottawa

[48] Weber N, Haase D, Franck U (2014). Assessing modelled outdoor traffic-induced noise and air pollution around urban structures using the concept of landscape metrics. Landsc Urban Plan, 125: 105–116

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