Šumarski list, Vol. 146 No. 7-8, 2022.
Izvorni znanstveni članak
https://doi.org/10.31298/sl.146.7-8.5
Using GIS techniques for modeling of anthropogenic noise propagation generated by a chainsaw in forest harvesting
Abdullah E. Akay
; Faculty of Forestry, Bursa Technical University, Türkiye
Hulusi H. Acar
; Faculty of Health Sciences, Istanbul Yeni Yüzy University, Türkiye
Buse Kalkan
; Faculty of Health Sciences, Istanbul Yeni Yüzy University, Türkiye
Sažetak
Noise is an environmental pollution that negatively affects human health and reduces the performance of employees. Forest harvesting activities are one of the working environments where noise effect is intense. The most common equipment used in forest operations is chainsaw whose noise affects not only the operator but also the wildlife in the territory. The noise maps showing noise propagation can be effectively used in evaluating and controlling the noise effects. In this study, it was aimed to measure the anthropogenic noise levels resulting from the chainsaw used in tree felling and to map its noise propagation with SPreAD-GIS (System for Prediction of Acoustic Detectability) which is a GIS (Geographical Information Systems) based noise prediction software. The study was conducted in Karacabey Flooded Forest within the city of Bursa in Türkiye. The results indicated that the average noise level from the chainsaw was above the danger limit (90 dBA) that causes increased physiological reactions and headache on the workers. According to the noise propagation map, the noise exposure of the employees exceeded the warning limit (85 dBA) and the maximum noise level was 95.96 dBA during the harvesting activity. In some parts of the study area, the noise level was 45 dBA or above, causing negative effects on bird species. It can be concluded that the noise maps can be effectively used to determine noise propagation generated by a chainsaw and evaluate the noise effects on the operators and as well as on the bird species in the perimeter.
Ključne riječi
anthropogenic noise; noise propagation map; SPreAD-GIS; chainsaw
Hrčak ID:
281746
URI
Datum izdavanja:
31.8.2022.
Posjeta: 640 *