Abstract
Among the sounds constituting a part of our daily lives, the undesired and disturbing ones are named noise. The noises can be defined as the acoustic energy that affects the physiological and psychological welfare of humans due to its direct or indirect effects on the human health. But, the traffic noise, which is one of the disturbing noises having wide dispersion in urban areas, affects the health of a gradually increasing number of people. The number of studies on measurement, dispersion, and mapping of traffic noise in developed and developing countries is gradually increasing. It can be seen that the studies concentrate on mapping based on the city centers and neighborhoods, where the traffic is intense. In this article, unlike the regional noise measurement studies, the transversal cross sections were established with a certain interval according to the land status along the main street, and the noise measurement points were determined using the global navigation satellite system (GNSS). The daily mean noise levels (Lden) were calculated by performing the measurements at daytime, evening, and nighttime. Using ArcGIS 10.4 software, the accuracy of noise maps created via inverse distance weighting (IDW), radial basis function (RBF), and ordinary kriging (OK) geostatistical analysis interpolation methods and the dispersion effect of traffic noise were compared. According to the visual method and error corrections, it was found that the best noise map was obtained using the RBF method. It is believed that the map provides accurate and reliable results because of the flat land surface, higher noise values measured on the road region, decrease in the noise at the points farther from the road region, and soft transitions between the noise values depending on the distance from the road. In order to take measures in order to decrease or eliminate noise on the main street, the local administrators and decision-makers can make use of these maps, the accuracy of which has been confirmed.
Similar content being viewed by others
References
Akerlöf L (1996) Acoustic guide: selection of acoustic quality in buildings: residential buildings, office buildings, hotels, school buildings, institutional buildings. Byggforskningsrådet, Sweden
ArcGIS (2008) Using ArcGIS Desktop. ESRI Press, Redlands
ArcGIS Desktop 9.3 Help (2014a) Implementing inverse distance weighted (IDW). http://webhelp.esri.com/arcgisdesktop/9.2/index.cfm?TopicName=Implementing_Inverse_Distance_Weighted_%28IDW%29. Accessed 16 Jan 2014
ArcGIS Desktop 9.3 Help (2014b) Using Kriging. http://webhelp.esri.com/arcgisdesktop/9.2/index.cfm?TopicName=Using_kriging. Accessed 4 Oct 2014
ArcGIS Desktop 9.3 Help (2014c) How radial basis functions work. http://resources.arcgis.com/ja/help/main/10.1/index.html#//00310000002p000000. Accessed 16 Nov 2014
ArcGIS Desktop 9.3 Help (2014d) Deterministic_methods_for_spatial_interpolation. http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?TopicName=Deterministic_methods_for_spatial_interpolation. Accessed 12 Apr 2015
ArcGIS Help 10.1 (2015) Histograms. http://resources.arcgis.com/en/help/main/10.1/index.html#//00310000000p000000. Accessed 12 May 2015
Asensio C, Recuero M, Ruiz M, Auseio M, Pavon I (2011) Self-adaptive grids for noise mapping refinement. Appl Acoust 75:599
Banerjee D, Chakraborty SK, Bhattacharyya S, Gangopadhyay A (2000) Appraisal and mapping the spatial-temporal distribution of urban road traffic noise. Int J Environ Sci Technol 6(2):325
Başel E.D.K, Çakın K, Satman A (2008) Türkiye’nin Yeraltı Sıcaklık Haritası Ve Tahmini Isı İçeriği. VII. Ulusal Temiz Enerji Sempozyumu, 10, İstanbul
Berglund B, Lindvall T (1995) Community noise. Report to the World Health Organization. Archives of the Center for Sensory Research., 2:1–195
Berglund B, Lindvall T, Schwela D.H (1999) Guidelines for community noise. http://whqlibdoc.who.int/hq/1999/a68672.pdf. Accessed 17 Sept 2012
Can A, Dekoninck L, Botteldooren D (2014) Measurement network for urban noise assessment: comparison of mobile measurements and spatial interpolation approaches. Appl Acoust 83:32–39. https://doi.org/10.1016/j.apacoust.2014.03.012
Can A, Guillaume G, Picaut J (2016) Cross-calibration of participatory sensor networks for environmental noise mapping. Appl Acoust 110:99–109. https://doi.org/10.1016/j.apacoust.2016.03.013
De Smith MJ, Goodchild MF, Longley PA (2009) Geospatial analysis. A comprehensive guide to principles, techniques and software tools. The Winchelsea Press, Winchelsea
Doygun H, Gurun DK (2007) Analyzing and mapping spatial and temporal dynamics of urban traffic noise pollution: a case study in Kahramanmaras, Turkey. Environ Monit Assess 142(1–3):65
Environmental Noise Action Plan (2009–2020) http://www.cygm.gov.tr/CYGM/Files/EylemPlan/Cevresel_%20Gurultu_%20Eylem_Plani.pdf
Erdoğan S, Doğan M, Yilmaz İ, Güllü M, Baybura T et al (2007) Afyonkarahisar il merkezi karayolu trafik gürültü haritasının hazırlanması. Afyon Kocatepe Üniversitesi Fen bilimleri dergisi 7(2):151–164
Gjestland T (2008) Background noise levels in Europe. SINTEF A6631 report Trondheim: SINTEF ICT; 2008 June
Guideline for environmental noise measurement and assessment (2010) Yönetmelik. Resmi Gazete Tarihi: 04.06.2010 Resmi Gazete Sayısı: 27601
Gupta AK, Nigam SP, Honsi JS (1986) A study on traffic noise for various land use for mixed traffic flow. Indian Highway 14(2):30
Harman BI, Koseoglu H, Yigit CO (2016) Performance evaluation of IDW, kriging and multiquadric interpolation methods in producing noise mapping: a case study at the city of Isparta, Turkey. Appl Acoust 112:147–157. https://doi.org/10.1016/j.apacoust.2016.05.024
Ilgar R (2012) Çanakkale şehir içi trafiğindeki araç kaynaklı gürültü kirliliğine yönelik ön çalışma. J World Turks 4(1):253–267
İnal C, Yiğit C.Ö (2003) Jeodezik Uygulamalarda Kriging Enterpolasyon Yönteminin Kullanılabilirliği. Coğrafi Bilgi Sistemleri ve Jeodezik Ağlar Çalıştayı 177–185 Konya
Isaaks EH, Srivastava RM (1989) An introduction to applied geostatistics. Oxford University Press, New York
Kauss D (2002) Noise mapping and annoyance. Noise Health 4(15):7
Kluijver H, Stoter J (2003) Noise mapping and GIS: optimizing quality and efficiency of noise effect studies. Comput Environ Urban Syst 27(1):85–102. https://doi.org/10.1016/S0198-9715(01)00038-2
Ko JH, Chang Sİ, Lee BC (2011) Noise impact assessment by utilizing noise map and GIS: a case study in the city of Chungju, Republic of Korea. Appl Acoust 72(8):544–550. https://doi.org/10.1016/j.apacoust.2010.09.002
Kumar A, Maroju S, Bhat A (2007) Application of ArcGIS geostatistical analyst for interpolating environmental data from observations. Environ Prog Sustain Energy 26(3):220–225
Lee SW, Chang SL, Park YM (2008) Utilizing noise mapping for environmental impact assessment in a downtown redevelopment area of Seoul, Korea. Appl Acoust 69(8):704–714. https://doi.org/10.1016/j.apacoust.2007.02.009
Li J, Heap AD (2008) A review of spatial interpolation methods for environmental scientists. Geoscience Australia, Record 2008/23 ed., 1st, Canberra, Australia
Maraş EE, Maraş HH, Maraş SS, Alkış Z (2011) CBS Verilerinden Çevresel Gürültü Haritalarının Hazırlanmasında Kullanılan Tahmin Yönteminin Analizi. Harita Dergisi, 145: 52–60
Mehdi MR (2002) Appraisals of noise pollution, traffic and land use patterns in Metropolitan Karachi through GIS and remote sensing techniques. PhD University of Karachi
Mehdi MR, Kim M, Seong JC, Arsalan MH (2011) Spatio-temporal patterns of road traffic noise pollution in Karachi. Environ Int 37(1):97–104. https://doi.org/10.1016/j.envint.2010.08.003
Merchan CI, Balteiro LD (2013) Noise pollution mapping approach and accuracy on landscape scales. Sci Total Environ 449:115–125. https://doi.org/10.1016/j.scitotenv.2013.01.063
Moragues A, Alcaide T (1996) The use of a geographical information system to assess the effect of traffic pollution. Sci Total Environ 189:267
Murphy E, King EA (2016) Smartphone-based noise mapping: integrating sound level meter app data into the strategic noise mapping process. Sci Total Environ 562:852–859. https://doi.org/10.1016/j.scitotenv.2016.04.076
Pamanikabud P, Tansatcha M (2003) Geographical information system for traffic noise analysis and forecasting with the appearance of barriers. Environ Model Softw 18(10):959–973. https://doi.org/10.1016/S1364-8152(03)00097-5
Remesan R, Mathew J (2015) Model data selection and data pre-processing approaches. In: Hydrological data driven modelling. Springer International Publishing, pp. 41–70
Şen A (2007) Elektrik Alan Şiddetlerinin Ölçümü ve Coğrafi Bilgi Sistemi Ortamında Yapay Sinir Ağları İle Analizi. Dissertation Yıldız Technical University
Seto EYW, Holt A, Rivard T, Bhatia R (2007) Spatial distribution of traffic induced noise exposures in a US city: an analytic tool for assessing the health impacts of urban planning decisions. Int J Health Geogr 6(24):1–16
Tsai K-T, Lin M-d, Chen Y-h (2009) Noise mapping in urban environments: A Taiwan study. Appl Acoust 70(7):964–972. https://doi.org/10.1016/j.apacoust.2008.11.001
TUİK Türkiye İstatistik Kurumu (2016) Ulaştırma İstatistikleri. http://www.tuik.gov.tr/PreTablo.do?alt_id=1051. Accessed 11 Oct 2016
Tural S (2011) Gerçek zamanlı meteoroloji verilerinin toplanması, analizi ve haritalanması. Dissertation Ankara University
Watson D F, Philip G M (1985) A refinement of inverse distance weighted interpolation. Geo-processing 2(4):315–327
Wei W, Van Renterghem T, De Coensel B, Botteldooren D (2016) Dynamic noise mapping: a map-based interpolation between noise measurements with high temporal resolution. Appl Acoust 101:127–140. https://doi.org/10.1016/j.apacoust.2015.08.005
WHO (2017) WHO/Europe Noise. http://www.euro.who.int/en/health-topics/environment-and-health/noise/noise. Accessed 11 Jan 2017
Yilmaz G, Hocanli Y (2006) Mapping of noise by using GIS in Sanliurfa. Environ Monit Assess 121(1–3):103–108. https://doi.org/10.1007/s10661-005-9109-1
Zambon G, Radaelli S, Bisceglie A (2007) Criteria for determination of the area to be mapped around roads (Directive 2002/49/ec). 19th. International Congress on Acoustics, Madrid, 2–7 September, PACS: 43.50
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Bostanci, B. Accuracy assessment of noise mapping on the main street. Arab J Geosci 11, 4 (2018). https://doi.org/10.1007/s12517-017-3343-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12517-017-3343-z