Noise Dispersion Modelling in the Planned Logistics Warehouse and Residential Area

Abstract Environmental noise pollution affects approximately 20% of Europeans, with logistics warehouses representing significant noise sources through heavy vehicle traffic, loading operations, and equipment. This study aims to analyse noise prediction methodologies applied to the planned logistics warehouse activities and to identify the factors that may affect the accuracy and reliability of acoustic modelling results. Before performing calculations, information was collected regarding the planned activities, the surrounding environment, transport flows, and technical parameters necessary for noise modelling. The main sources of noise include incoming and outgoing traffic (up to 100 heavy-duty and 100 light-duty vehicles per day), internal warehouse equipment, and loading/unloading ramps. The CADNA A software was used for calculations, applying mobile, point, and area source models based on the ISO 9613-2 methodology and the requirements of HN 33:2011. The calculation results showed that even in the worst-case scenario (85 dB(A) noise in the production area), the noise level in the residential environment located closer than 291 meters does not exceed the limit values established by HN 33:2011. The dominant noise source is the nearby A1 highway, where noise levels near the planned economic activity site ranged from 65.8 to 68.9 dB(A) during the daytime, from 64.4 to 67.4 dB(A) in the evening, and from 60.8 to 65.0 dB(A) at night. The assessment concluded the planned economic activity will not significantly impact the noise environment. Implemented construction and organizational measures (multi-layered walls with Rw ≥ 27 dB(A), indoor operations, traffic management) ensure acoustic comfort and demonstrate effective preventive noise assessment in sustainable development planning.

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Publication Details

Journal
Civil and Environmental Engineering
Published
2025-11-12
DOI
https://doi.org/10.2478/cee-2026-0035
Primary Topic
Noise Effects and Management
Type
article
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article

Noise Dispersion Modelling in the Planned Logistics Warehouse and Residential Area

Donatas Rekus, Vytautė Juodkienė
Civil and Environmental Engineering
Noise Effects and Management
article

Noise Dispersion Modelling in the Planned Logistics Warehouse and Residential Area

Donatas Rekus, Vytautė Juodkienė
article en

Abstract

Abstract Environmental noise pollution affects approximately 20% of Europeans, with logistics warehouses representing significant noise sources through heavy vehicle traffic, loading operations, and equipment. This study aims to analyse noise prediction methodologies applied to the planned logistics warehouse activities and to identify the factors that may affect the accuracy and reliability of acoustic modelling results. Before performing calculations, information was collected regarding the planned activities, the surrounding environment, transport flows, and technical parameters necessary for noise modelling. The main sources of noise include incoming and outgoing traffic (up to 100 heavy-duty and 100 light-duty vehicles per day), internal warehouse equipment, and loading/unloading ramps. The CADNA A software was used for calculations, applying mobile, point, and area source models based on the ISO 9613-2 methodology and the requirements of HN 33:2011. The calculation results showed that even in the worst-case scenario (85 dB(A) noise in the production area), the noise level in the residential environment located closer than 291 meters does not exceed the limit values established by HN 33:2011. The dominant noise source is the nearby A1 highway, where noise levels near the planned economic activity site ranged from 65.8 to 68.9 dB(A) during the daytime, from 64.4 to 67.4 dB(A) in the evening, and from 60.8 to 65.0 dB(A) at night. The assessment concluded the planned economic activity will not significantly impact the noise environment. Implemented construction and organizational measures (multi-layered walls with Rw ≥ 27 dB(A), indoor operations, traffic management) ensure acoustic comfort and demonstrate effective preventive noise assessment in sustainable development planning.

Civil and Environmental Engineering
Kauno kolegija Higher Education Institution (LT), Kaunas University of Applied Engineering Sciences (LT)
Openalex Percentile: Top 54%
Noise Effects and Management
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