How can forest management can regulate noise level from wind turbines?

Author:

HEINONEN Tero1,SELKIMÄKI Mari1,RANA Parvez2,TOKOLA Timo1

Affiliation:

1. University of Eastern Finland

2. Natural Resources Institute Finland (Luke)

Abstract

Abstract Forest can effectively serve as noise barrier, with their noise attenuation capacity varying based on the forest’s characteristics. Specifically, the attenuation level depends on the sound’s travel distance through the forest and the size and density of trees. Our study findings indicate that forest can provide up to 10 dB of additional noise attenuation. This was achieved by integrating a forest structure-based model into forest planning calculations, aimed at mitigating noise pollution from wind turbines. Incorporating this noise model as a management objective significantly reduced noise levels in the pilot study area, outperforming traditional business-as-usual management strategies. Furthermore, adapting a combination of uneven-aged and even-aged forest management approaches resulted in more forested landscape, which was more effective in mitigating higher noise levels. Our results contribute important insights that, along with further research, can guide future forest planning and management towards enhanced sustainability.

Publisher

Research Square Platform LLC

Reference43 articles.

1. Evaluating Spatial Design Techniques for Solving Land-use Allocation Problems;Aerts JCJH;Journal of Environmental Planning and Management,2005

2. Albert DG (2004) Past research on sound propagation through forests. USA Army Corps of Engineers, Engineer Research and Development Center. ERDC/CRREL TR-04-18, 2004

3. Noise Reduction by Vegetation and Ground;Aylor D;Journal of the Acoustical Society of America,1972

4. Spatial forest planning: A review;Baskent EZ;Ecol. Model.,2005

5. Crocker MJ (1998) Handbook of Acoustics. John Wiley & Sons, 9 Mar 1998

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3