ROAD TRAFFIC NOISE IN THE CITY OF KONYA MODELING USING BY GIS

distance at which the emission levels are measured (1 m), D is perpendicular distance from observer to the center line of the traffic lane (m) and  is ground effect adjustment. The example of dialog box for data input this model is shown in Figure 1. Figure 1. Data input into FHWA model with dialog box. The Ldn for a given location in a community may be calculated from the hourly Leq’s. That is, the Leq for each hour of the day may be added on a logarithmically averaged basis to obtain Ldn. An equation expressing this method is as follows: Ldn = 10 ∙ log [12/24 ∙ 10 L eq, day / 10 + 4/24 ∙ 10 (L eq, evening + 5)/10 + 8/24 ∙ 10(L eq, night + 10)/ 10] Where Leq, day, Leq, evening and Leq, night are the average equivalent sound pressure levels in the day, evening, and night period respectively.

USI NG OF GIS FOR NOISE MAP GIS contains a database management system designed for spatial data and is thus a very good system for management of geographic data. GIS performs some possibilities; - the possibility to manage the data, - ensuring the integrity and consistency between data, - rapid access to the data, - the availability of the data stored for different kinds of application. SGEM 200 6 - Section IV 431 Firstly the coordinates of the measurement points were shown on the dijital map of the city of Konya. These were made by using “Georeferensing” module of GIS (ArcGIS

0) software. Noise contours were calculated and managed in GIS by using interpolating noise levels computed on a raster of points. Until now, there is no any standarts for used interpolation method. Interpolation in GIS software does not require a regular raster of calculation points. The data about the noise sources, the areas and buildings was gathered, stored and managed in the database. Apart from this data, photographs stored in the database for presentation of the data. Some of the possibilities of a spatial database management system in this noise studies are illustrated in Figure 2. It concerns three GIS data layers; the location of road and buildings and the computed noise levels. Figure 2. Illustrations of environmental noise pollution in GIS. 6th International Multidisciplinary Scientific GeoConference SGEM2006 www.sgem.org Int er nat ional Confer ence SGEM 200 6 432

CONCLUSION The noise maps will help to establish the existing baseline so that we will be able to measure the effectiveness of future initiatives to control noise. They will also let us see in an understandable and visual way how noise spreads from roads and into residential areas. GIS is a useful tool for building the noise maps. And GIS was used to produce a noise map in this study. Furthermore predicting noise levels from roadway, integrating noise data with other GIS based data sets and producing noise maps are realized. As a result noise pollution from roadway is visualized in the form of noise contours which provide a visual description of the soundscape. The noise levels countor lines can be displayed in the different intervals of noise levels. the noise levels were compared with the allowed maximum noise levels in Turkish Noise Regulation. It was determined that the noise levels exceeded the levels in Turkish Noise Regulation. Acknowledgement The authors are greatly indebted to the Scientific Research Projects Foundation of Selcuk University (S.U. BAP) for giving financial support. REFERENCES

Barry, T.M., Reagan, J.A., 1978. FHWA Highway Traffic Noise Prediction Model. FHWA -RD -77-108. Federal Highway Administration, Washington DC, USA.

Calixto, A., Diniz, F.B., Zanin, P.H.T. 2003 The statistical modelling of road traffic noise in an urban setting. Cities, Vol. 20, No.1, p. 23-29, 2003

Kluijver, H. Stoter, J. 2003. Noise mapping and GIS: optimising quality and effiency of noise effect studies. Computers, Environment and Urban Systems, 27 (2003) 85 –

Nelson, P.M., 1987. Traffic Noise Reference Book. Cambridge University Press, Cambridge.

Onunu, M.U. 2000. Road traffic noise in Nigeria: Measurements, Analysis and evalution of nuisance. Journal of Sound and vibration 233 (3), 391-405

Ozdemir, C, Dursun S, Burdurlu Y, 1999. Konya (şehir merkezi) Gürültü Kirliliği Haritasö, Mühendislik Bilimleri Dergisi 5, 2 –3, 1179 –1185

Pamanikabud, P., 1990. Highway traffic noise prediction model for Asian country. In: Proceedings of the Institution of Engineers Australia Vibration and Noise Conference. Melbourne, Australia, 18–20 September 1990.

Pamanikabud, P. ve Tansatcha M. 2003 Geographical information system for traffic noise analysis and forecasting with the appearance of barriers, Environmental Modelling&Software 18, 959-973. Rau J, Wooten D.1980, Environmental Impact Analysis Handbook, McGrwaHill, USA World Health Organization, 1999. Guidelines for communit y noise, http://www.who.int/docstore/peh/noise/Comnoise -1.pdf 6th International Multidisciplinary Scientific GeoConference SGEM2006 www.sgem.org