Department of Environmental Engineering, University of Seoul, 02504, Seoul, Republic of Korea.
Createch Co. Ltd, 48059, Busan, Republic of Korea.
J Environ Manage. 2024 Jun;360:120926. doi: 10.1016/j.jenvman.2024.120926. Epub 2024 May 20.
In the Republic of Korea, Environmental Impact Assessment (EIAs) precedes development projects to predict and analyze potential environmental effects. Generally, EIA noise evaluations utilize 2D noise prediction equations and correction coefficients. This method, however, offers only a sectional noise evaluation and has limitations in complex environments with diverse noise sources. Moreover, the determination of various variables during the EIA process based on subjective human judgment raises concerns about the reliability of the results. Thus, this study aims to develop software accessible via a web environment for user-friendly EIA noise evaluations. This software supports integrated data management and generates a 3D noise prediction model for more precise and realistic analysis of noise impacts, specifically focusing on road-traffic noise at this stage of development. The 3D noise prediction model and noise map generated by the developed software have been validated against through comparison with the results of onsite noise measurements and commercial EIA software, SoundPLAN. This validation aimed to assess the practical utility of the application.
在大韩民国，环境影响评估（EIA）先于开发项目进行，以预测和分析潜在的环境影响。一般来说，EIA 噪声评估采用二维噪声预测方程和修正系数。然而，这种方法只能进行局部噪声评估，并且在具有多种噪声源的复杂环境中存在局限性。此外，EIA 过程中基于主观人为判断的各种变量的确定引发了对结果可靠性的担忧。因此，本研究旨在开发可通过网络环境访问的软件，以实现用户友好的 EIA 噪声评估。该软件支持集成数据管理，并生成 3D 噪声预测模型，以便更精确和真实地分析噪声影响，特别是在现阶段侧重于道路交通噪声。开发软件生成的 3D 噪声预测模型和噪声图已通过与现场噪声测量和商业 EIA 软件 SoundPLAN 的结果进行比较进行了验证。此验证旨在评估应用程序的实际效用。
