Artykuł  

Improving Traffic-noise-mitigation Strategies with LiDAR-based 3D Tree-canopy Analysis

Krótki opis
creativeworkseries.issn1898-1135
dc.contributor.authorWickramathilaka, Nevil
dc.contributor.authorUjang, Uznir
dc.contributor.authorAzri, Suhaibah
dc.date.issued2024
dc.description.abstractThe leaves on trees absorb road noise and serve as noise barriers. Tree structures such as tree belts and isolated trees have various methods for absorbing sounds. The depth, surface area, and noise-absorption coefficient of trees contribute to noise absorption. Therefore, this study aims to address this issue of traffic-noise pollution through the use of trees, in particular, by analyzing the noise-absorption coefficient of leaves, the surface area of the leaves, and the depths of the trees. However, the study stresses the need for 3D tree-canopy visualization to identify these factors. To achieve this, the study used LiDAR point clouds to provide accurate data for the convex hull visualizations of canopies. Additionally, a formulated equation for calculating traffic noise after absorption has been suggested by combining the traffic-noise absorption and Henk de Kluijver traffic-noise models. The study also compares the effectiveness of tree belts and isolated trees in reducing noise pollution, concluding that, below a canopy of trees, there is no noise reduction. Finally, the study has demonstrated that the number and sizes of leaves affect noise absorption, showing that noise pollution can be reduced by 1 to 3 dB(A) in the research area by using trees.en
dc.description.placeOfPublicationKraków
dc.description.versionwersja wydawnicza
dc.identifier.doihttps://doi.org/10.7494/geom.2024.18.3.81
dc.identifier.eissn2300-7099
dc.identifier.issn1898-1139
dc.identifier.urihttps://repo.agh.edu.pl/handle/AGH/108421
dc.language.isoeng
dc.publisherWydawnictwa AGH
dc.rightsAttribution 4.0 International
dc.rights.accessotwarty dostęp
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subjecttraffic-noise pollutionen
dc.subjecttreesen
dc.subject3D tree-canopy visualizationen
dc.subjectLiDAR|noise-absorption coefficienten
dc.titleImproving Traffic-noise-mitigation Strategies with LiDAR-based 3D Tree-canopy Analysisen
dc.title.relatedGeomatics and Environmental Engineering
dc.typeartykuł
dspace.entity.typePublication
publicationissue.issueNumberNo. 3
publicationissue.paginationpp. 81-103
publicationvolume.volumeNumberVol. 18
relation.isJournalIssueOfPublication3f63e1ed-b3b8-4abf-856c-745b6b138c47
relation.isJournalIssueOfPublication.latestForDiscovery3f63e1ed-b3b8-4abf-856c-745b6b138c47
relation.isJournalOfPublication102998b2-3fd0-4247-98bf-973d6a9ba2d9
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