AI Summary & Key Takeaways
AI InsightNoise pollution is the most important factorthat disrupts environmental quality and environmental health in the city center.
📌 3 Key Takeaways
Abstract
In this study with the purpose of determining the noise pollution originating from traffic inSivas city center, noise measurements were performed in 14 different points that represent thecity for 5 days in morning, noon and evening. Based on the measurement results, GIS basednoise pollution spatial distribution maps were created and also the noise levels and orbits thatchange according to the time as time-wise and spatial were determined. Also, noise pollutionlevel of city is revealed with calculating indexes such as traffic noise pollution index (NI),noise climate (NC), noise exposure index (NEI) and level of noise pollution (Lnp). Level ofequivalent continuous noise (Leq) value is above limit values in all regions and its meandetermined for morning, noon and evening hours as 75.19, 73.72 and 75.92 dB respectively.The highest Lnp values are calculated as 96,8 dB for morning, 98,7 dB for noon and 97 dB forevening. The highest NC values are calculated as 18,7 dB for morning, 21,3 dB for noon and21 dB for evening. Almost all of the NEI values were more than 1 and this shows that the levelof noise exposure of all measuring points is at excessive level. The NI value which is calculatedaccording to the measurements is usually above 74 dB. The areas affected by noise within theboundaries of Sivas city were revealed by using the noise distribution maps obtained with thehelp of GIS. When all of the results are evaluated, it is seen that there is a serious noisepollution problem around the traffic way of city. Noise pollution is the most important factorthat disrupts environmental quality and environmental health in the city center.