259 lines
12 KiB
Python
259 lines
12 KiB
Python
""" this file includs global variables shared between tab """
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import numpy as np
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import pandas as pd
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import datetime
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# --- load raw data ---
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# =========================================================
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# --- ACOUSTIC DATA TAB ---
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# =========================================================
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# Variables names # Description # Type
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ABS_name = [] # Acoustic Backscatter System name : ["Aquascat 1000R", "UB-SediFlow"] # List of strings
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temperature = 0 # Temperature of measurements (One temperature for all measurements) # Float
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water_velocity = 0 # Speed of sound in water (One speed of sound for all measurements) # Float
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# --- Acoustic raw data ---
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path_BS_raw_data = [] # Paths of the acoustic data files # List of strings
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filename_BS_raw_data = [] # Files names of the acoustic data files # List of strings
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BS_raw_data = [] # Acoustic raw data measurements : 3D arrays (freq x depth x time) # List of arrays
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BS_raw_data_reshape = [] # Acoustic raw data measurements : 2D arrays (freq x (depth x time)) # List of arrays
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depth = [] # Distance from transducer : 2D array (freq x depth) # List of arrays
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depth_reshape = [] # Distance from transducer : 2D array (freq x (depth x time)) # List of arrays
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depth_2D = [] # Distance from transducer : 2D array (freq x depth) # List of arrays
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time = [] # Time of measurements : 2D array (freq x time) # List of arrays
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time_reshape = [] # Time of measurements : 2D array (freq x (depth x time)) # List of arrays
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# --- Measurement information ---
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date = [] # Date of measurements # List of dates
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hour = [] # Time of measurements # List of time
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distance_from_ABS_to_free_surface = [] # Set distance from ABS to free surface # List of floats
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freq = [] # Frequency of measurements : 1D array # List of arrays
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freq_text = [] # Frequency of measurements : list of string # List of lists
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kt_read = [] # Constant of calibration kt of the ABS read from acoustic file # List of list
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# for each frequency
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kt_corrected = [] # Constant of calibration kt of the ABS corrected # list of float
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# Sometimes, the read values of kt are wrong. Then, we define
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# default values for all frequency of the ABS.
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water_attenuation = [] # Sound attenuation in water for each frequency and for one temperature # List of lists
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nb_profiles = [] # Total number of profiles for each frequency = time length # List of lists
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nb_profiles_per_sec = [] # Profile rate (Hz) for each frequency # List of lists
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nb_cells = [] # Number of cells in profiles for each frequency # List of lists
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cell_size = [] # Cell size for each frequency (m) # List of lists
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pulse_length = [] # Pulse length (m) # List of lists
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nb_pings_per_sec = [] # Number of pings per seconds (Hz) # List of lists
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nb_pings_averaged_per_profile = [] # Profiles per average # List of lists
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gain_rx = [] # Rx gain # List of lists
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gain_tx = [] # Tx gain # List of lists
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DataFrame_acoustic = pd.DataFrame()
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# --- Modify raw data limits ---
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tmin = [] # Minimum boundary of time for each recording : (index, value) # List of tuples
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tmax = [] # Maximum boundary of time for each recording : (index, value) # List of tuples
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rmin = [] # Minimum boundary of depth for each recording : (index, value) # List of tuples
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rmax = [] # Maximum boundary of depth for each recording : (index, value) # List of tuples
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BS_cross_section = [] # BS data limited with tmin and tmax values # List of arrays
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depth_cross_section = [] # depth limited with rmin and rmax values # List of arrays
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time_cross_section = [] # time limited with rmin and rmax values # List of arrays
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# --- Detect bottom ---
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BS_stream_bed = [] # BS data (raw or cross_section) with detected bottom : # List of arrays
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# 3D array : (freq x depth x time)
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depth_bottom = [] # Depth value of th bottom : 1D array # List of arrays
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val_bottom = [] # Level of the BS signal on the bottom : 1D array # List of arrays
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ind_bottom = [] # Index of bottom in depth array : list of int # List of lists
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freq_bottom_detection = [] # Frequency use to detect the bottom : (index, string) # List of tuple
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dept_bottom_detection_min = [] # Min value to detect bottom on the first vertical # List of float
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depth_bottom_detection_max = [] # Max value to detect bottom on the first vertical # List of float
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depth_bottom_detection_1st_int_area = [] # interval for searching area # List of float
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# ----------------------------------------------------------------------------------------------------------------------
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# =========================================================
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# --- SIGNAL PREPROCESSING TAB ---
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# =========================================================
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# Variables names # Description # Type
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path_BS_noise_data = []
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filename_BS_noise_data = []
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BS_noise_raw_data = [] # BS noise raw data : BS signal listen
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BS_noise_averaged_data = [] # BS noise raw data averaged (array has the same shape than BS_raw_data shape)
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BS_mean = []
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date_noise = []
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hour_noise = []
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noise_method = []
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noise_value = []
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SNR_filter_value = []
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Nb_cells_to_average_BS_signal = []
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data_preprocessed = []
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time_snr_reshape = np.array([])
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SNR_reshape = np.array([]) # snr is reshape to be included in table of values in acoustic data tab
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SNR_raw_data = [] # SNR is computed with BS_noise_averaged_data
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time_noise = []
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depth_noise = []
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tmin_snr = np.array([])
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tmax_snr = np.array([])
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# BS_noise_cross_section = [] # BS_noise_cross_section = BS_noise_data[:, :, tmin:tmax] (former Noise_data)
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SNR_cross_section = [] # SNR_data = snr[:, :, tmin:tmax]
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SNR_stream_bed = []
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time_snr = []
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time_average = np.array([])
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SNR_data_average = np.array([]) # SNR data computed with BS signal averaged (not with BS raw signal)
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# --- Processed data in Signal Processing Tab ---
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BS_raw_data_pre_process_SNR = []
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BS_raw_data_pre_process_average = []
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BS_raw_data_pre_process_SNR_average = []
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BS_cross_section_pre_process_SNR = [] # BS data filtered with SNR values (remove point if SNR < value) - bottom is not detected
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BS_cross_section_pre_process_average = [] # BS data averaged - bottom is not detected
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BS_cross_section_pre_process_SNR_average = [] # BS data averaged and filtered with SNR - bottom is not detected
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BS_stream_bed_pre_process_SNR = [] # BS data filtered with SNR values (remove point if SNR < value) - bottom is detected
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BS_stream_bed_pre_process_average = [] # BS data averaged - bottom is detected
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BS_stream_bed_pre_process_SNR_average = [] # BS data averaged and filtered with SNR - bottom is detected
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# ----------------------------------------------------------------------------------------------------------------------
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# =========================================================
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# --- SAMPLE DATA TAB ---
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# =========================================================
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# Variables names # Description # Type
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# --- Fine sediment Data ---
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# --- Sand sediment Data ---
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sample_fine = []
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path_fine = ""
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filename_fine = ""
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columns_fine = []
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distance_from_bank_fine = [] # distance from left bank (m)
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depth_fine = [] # depth (m)
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time_fine = []
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radius_grain_fine = [] # grain radius (um)
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Ctot_fine = [] # Total concentration (g/L)
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D50_fine = [] # median diameter (um)
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frac_vol_fine = []
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# Volume fraction (%)
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frac_vol_fine_cumul = [] # Cumulated volume fraction (%)
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fine_sample_profile = [] # Fine sample choose for the profile in calibration
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sample_sand = []
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path_sand = ""
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filename_sand = ""
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columns_sand = []
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distance_from_bank_sand = [] # distance from left bank (m)
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depth_sand = [] # depth (m)
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time_sand = []
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radius_grain_sand = []
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Ctot_sand = [] # Total concentration (g/L)
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D50_sand = [] # median diameter (um)
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frac_vol_sand = [] # Volume fraction (%)
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frac_vol_sand_cumul = [] # Cumulated volume fraction (%)
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sand_sample_target = [] # Sand sample target for calibration
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sand_sample_target_indice = []
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Ctot_fine_per_cent = []
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Ctot_sand_per_cent = []
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fine_sample_position = []
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sand_sample_position = []
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# ----------------------------------------------------------------------------------------------------------------------
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# =========================================================
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# --- SEDIMENT CALIBRATION TAB ---
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# =========================================================
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# Variables names # Description # Type
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sediment_attenuation = []
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FCB = []
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depth_real = []
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lin_reg = []
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# --- Sediment Calibration
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frequencies_for_calibration = []
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range_lin_interp = []
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M_profile_fine = []
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path_calibration_save_file = ""
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path_calibration_import_file = ""
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filename_calibration_import_file = ""
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ks = []
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sv = []
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X_exponent = []
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alpha_s = []
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zeta = []
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J_cross_section = []
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frequency_for_inversion = tuple()
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# ----------------------------------------------------------------------------------------------------------------------
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# =========================================================
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# --- ACOUSTIC INVERSION TAB ---
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# =========================================================
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# Variables names # Description # Type
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frequencies_to_compute_VBI = np.array([])
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VBI_cross_section = []
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# VBI_stream_bed = np.array([[[]]])
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SSC_fine = []
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SSC_sand = []
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# --- Save study ---
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acoustic_data = []
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dirname_save_as = ""
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filename_save_as = ""
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dirname_open = ""
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filename_open = ""
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read_table_trigger = 0
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