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ŠUMARSKI LIST 7-8/2022 str. 69     <-- 69 -->        PDF

the bird species, especially during breeding and incubation periods, tree cutting with chainsaw should not be coincide with these sensitive periods. In case of necessity, the noise effect should be minimized by using electric powered or Li-Ion battery saws with lower noise levels.
In order to minimize the effect of the noise caused by the chainsaw, it will be safer for the chainsaw operators and other personnel working close to the perimeter to use suitable ear protection equipment. In addition, daily working hours and rest periods should be determined according to the noise levels. In this context, the standard noise exposure times specified in the regulations should be taken into consideration. Timely and correct maintenance and insulation of chainsaws will contribute to the reduction of the noise level caused by the chainsaw. In insulated chainsaws exposed metal parts are isolated from the internal metal motor components with protective insulation.
In addition, considering that the noise from chainsaw changes depending on the type of oil used for chain lubrication, it would be appropriate to evaluate alternative oil types such as vegetable oil and mineral oil to minimize noise exposure. Occupational seminars and trainings should be given to chainsaw operators on the potential impacts of noise on human health and how to prevent these impacts. Employees should undergo periodic health checks, taking precautions to prevent temporary damages from becoming permanent and applying the necessary treatments.
This study has shown that noise propagation maps will make significant contributions in determining the noise level in a study area. However, in future studies, it would be appropriate to evaluate the noise levels arising from chainsaws with different types and power sources. In addition, it will be beneficial to develop noise propagation maps of other harvesting equipment such as harvester, feller-buncher, skidder, agricultural tractor, logging truck. In addition to bird species, other wild animal species affected by anthropogenic noise propagation should be examined in future studies.
ACKNOWLEDGEMENTS
ZAHVALA
This study is funded by The Scientific and Technological Research Council of Türkiye (TUBITAK) with the project number 119O736.
REFERENCES
LITERATURA
Akay, A.E. and Acar, H.H., 2019: Using GIS Techniques for Modeling Noise Propagation from Mechanized Harvesting Equipment. European Journal of Forest Engineering, 5 (2):92-98.
Aydın, B., 2015: Noise mapping on a university campus area: Case study for Istanbul Technical University Ayazaga Campus. MSc Thesis. ITU, Institute of Science and Technology, İstanbul. 98 p.
Barber, J.R., Burdett, C.L., Reed, S.E., Warner, K.A., Formichella, C., Crooks, K.R., and Fristrup, K.M., 2011: Anthropogenic noise exposure in protected natural areas: estimating the scale of ecological consequences. Landscape Ecology, 26(9):1281-1296. https://doi.org/10.1007/s10980-011-9646-7
Cavalli, R., Miola, P., and Sartori, L., 2004: Chainsaw noise diffusion in forests managed with different silvicultural systems. L’Italia Forestale e Montana, 59(3):375-390.
Delaney, D.K., Grubb, T.G., Beier, P., Pater, L.L., and Hildegard Reiser, M., 1999: Effects of helicopter noise on Mexican spotted owls, Journal of Wildlife Management, 63(1):60-76. https://doi.org/10.2307/3802487
NCR, 1986: Noise Control Regulation, Ministry of Environment and Forestry, 17 p. http://www.istanbulsaglik.gov.tr/w/mev/mev_yon/gurultu_kontrol.pdf
Keyel, A.C., Reed, S.E., McKenna, M.F., and Wittemyer, G., 2017: Modeling anthropogenic noise propagation using the Sound Mapping Tools ArcGIS toolbox, Environmental Modelling & Software, 97:56-60. https://doi.org/10.1016/j.envsoft.2017.07.008
Kunc, H.P. and Schmidt, R., 2019: The effects of anthropogenic noise on animals: a meta-analysis, Biology Letters, 15(11):20190649. https://doi.org/10.1098/rsbl.2019.0649
Maraº, E.E., Maraº, H.H., Maraº, S.S., and Alkıº, Z., 2011: Analysis of the Prediction Method Used in Environmental Noise Mapping from GIS Data, Map Journal, 145:52-60.
Martin, S.A., Leung, A., and Pallini, P., 2005: California off-highway vehicle noise study. Wyle Laboratories, Inc., El Segundo, CA.
Melemez, K., Tunay, M., Fevzi, Ç. I. Ğ., and Emir, T., 2012: A Case Study on Health Examinations of Forest Workers in Forest Harvesting Works. Bartın Faculty of Forestry Journal, 14(21):37-46.
Neitzel, R. and Yost, M., 2001: Task-based Assessment of Occupational Vibration and Noise Exposures in Forestry Workers. The International Mountain Logging and 11th Pacific Northwest Skyline Symposium, 10-12 December, Seattle, Washington, USA. pp: 21-27
Neri, F., Laschi, A., Foderi, C., Fabiano, F., Bertuzzi, L., and Marchi, E., 2018: Determining noise and vibration exposure in conifer cross-cutting operations by using li-ion batteries and electric chainsaws. Forests, 9(8):501. https://doi.org/10.3390/f9080501
Polat, S. and Kırıkkaya, E.B., 2004: Effects of Noise on Education and Teaching. XIII. National Education Science Congress, 6-9 July, İnönü University, Faculty of Education, Malatya., Türkiye.
Potocnik, I. and Poje, A., 2010: Noise pollution in forest environment due to forest operations, Croatian Journal of Forest Engineering, 32(2):137-148.
Probst, W., Huber, B., 2003: The Sound Power Level of Cities, Sound and Vibration, 263:14-17.
Proto, A.R., Grigolato, S., Mologni, O., Macrì, G., Zimbalatti, G., and Cavalli, R., 2016: Modelling noise propagation generated by forest operations: a case study in Southern Italy, Procedia-Social and Behavioral Sciences. 223:841-848.