Development and Application of Large-Scale Industrial Noise Models: Environmental Impact Analysis for Sustainable Industrial Development
- DOI
- 10.2991/978-94-6463-902-5_11How to use a DOI?
- Keywords
- Noise model; CadnaA; Noise control; Noise reduction strategy
- Abstract
Industrial noise pollution represents a significant conflict between industrial economic development and the health and well-being of residents. To provide new noise reduction strategies for large industrial parks, this study takes a large industrial park as a case example and combines field measurements with numerical simulations to develop an industrial noise model for an area of approximately 180,850 m2. Based on this model, three distinct noise reduction schemes were proposed. The effectiveness of these schemes was then evaluated from three perspectives: noise maps, noise exposure of sensitive buildings, and factory boundaries. Finally, a comprehensive comparative analysis of the characteristics of each scheme was conducted. The findings of this study indicate that environmental noise prediction models can provide precise noise reduction solutions for industrial noise control projects.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yongji Zhao AU - Lei Zhu AU - Yi Qin AU - Heping Liu AU - Yaxuan Sun PY - 2025 DA - 2025/12/16 TI - Development and Application of Large-Scale Industrial Noise Models: Environmental Impact Analysis for Sustainable Industrial Development BT - Proceedings of the 2025 7th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2025) PB - Atlantis Press SP - 105 EP - 112 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-902-5_11 DO - 10.2991/978-94-6463-902-5_11 ID - Zhao2025 ER -