التفاصيل البيبلوغرافية
| العنوان: |
Noise mapping due to motor vehicle activities in the by-pass ring road area of the city of Kendari. |
| المؤلفون: |
LAKAWA, Irwan, SYAMSUDDIN, HUJIYANTO, ILHAM, Vickky A. |
| المصدر: |
Scientific Review: Engineering & Environmental Sciences / Przegląd Naukowy: Inżynieria i Kształtowanie Środowiska; 2023, Vol. 32 Issue 4, p392-406, 15p |
| مصطلحات موضوعية: |
MOTOR vehicles, DECIBEL meters, NOISE, LAND use |
| مصطلحات جغرافية: |
CZECH Republic |
| مستخلص: |
The by-pass ring road in Kendari serves as a crucial artery, facilitating accessibility and mobility between the city center and the expanding outskirts. However, heightened traffic has led to a notable upswing in noise along the highway. This study aims to systematically map the distribution of this noise across various land uses in the vicinity. To accomplish this, measurements were taken at eleven specific points along the road, utilizing a sound level meter (SLM). The collected data, encompassing noise levels on the highway and its impact on different land uses, underwent a thorough analysis through mathematical equations. Subsequently, mapping was executed using the overlay method based on coordinate points. The findings reveal a vehicular composition predominantly comprised of motorcycles (68%), followed by light vehicles (27%), and heavy vehicles (5%). Notably, although heavy vehicles constitute a mere 5%, they significantly influence the elevation of noise levels. The highest noise intensity impacting land use is observed in service areas, succeeded by commercial and school zones, with the lowest levels recorded in settlement areas. The mapped results depict a noise exposure of 67 dB reaching receptors, coupled with an average noise reduction of 9 dB. Remarkably, as the average distance from the noise source on the highway to the receptors increases (averaging 14 m), there is a discernible reduction in noise intensity. This visually apparent trend is corroborated by the noise mapping results. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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