GREENMAP: A Sustainable Urban Planning Method Combining FDTD-FEM in Noise and GIS-based Environmental Analysis

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Abstract

Results It was observed that changes of Sound Pressure Level (SPL) in different heights and directions, defined for sound source moving by vehicle trajectory, a considerable reduction of noise behind the building. The frequency analysis and statistical regression modeling by the Short-Time Fourier Transform (STFT) exposed that environmental noise levels would influence hearing, blood glucose testing level, body mass index (BMI), age, etc. Further analysis revealed that the highest noise exposure was associated with higher levels of fasting glucose, BMI, and an increased risk of age-related hearing. Sound propagation over the first and third floors of different microphone sizes. Co-simulation of time-domain 3D sound pressure and particle velocity mapping by combining a hybrid FDTD-FEM framework for high-resolution in a shock tube experiment, where time-dependent wave propagation is more suitable to describe with a finite-difference-based solver of FDTD. This approach can be a powerful tool in urban noise reduction and building acoustic insulation. The study gives the basic concepts about environmental noise pollution, health risks, and opens new ways to evaluate the effectiveness of noise barriers, which will be very helpful in urban planning & public health protection.

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