RCAIDE.Library.Plots.Noise.plot_noise_level

plot_noise_level#

plot_noise_level(noise_data, noise_level=False, save_figure=False, save_filename='Sideline_Noise_Levels', file_type='.png', width=11, height=7)[source]#

Creates a visualization of A-weighted Sound Pressure Levels at various sideline distances.

Parameters:

noise_data (NoiseData) –
RCAIDE noise data structure containing:
- microphone_y_resolutionint
  Number of sideline measurement positions
- microphone_locationsndarray
  
  3D array of microphone positions where:
  
  [:,:,0] : x-positions (longitudinal)
  
  [:,:,1] : y-positions (sideline)
  
  [:,:,2] : z-positions (vertical)
noise_level (ndarray, optional) – 2D array of noise levels at measurement points (default: False)
save_figure (bool, optional) – Flag for saving the figure (default: False)
save_filename (str, optional) – Name of file for saved figure (default: “Sideline_Noise_Levels”)
file_type (str, optional) – File extension for saved figure (default: “.png”)
width (float, optional) – Figure width in inches (default: 11)
height (float, optional) – Figure height in inches (default: 7)

Returns:

fig – Handle to the generated figure showing noise levels vs range

Return type:

matplotlib.figure.Figure

Notes

Creates visualization showing:

Noise level variation with distance
Multiple sideline measurement positions
Color-coded sideline distances
Customizable appearance

Major Assumptions

Noise levels are A-weighted SPL in dBA
Microphones are in a regular grid
Range is in nautical miles
Sideline distances are in meters

Definitions

‘Sound Pressure Level’: A-weighted acoustic pressure level in dBA
‘Sideline Distance’: Perpendicular distance from flight path
‘Range’: Distance along flight path

plot_noise_level#

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