environmental_insights.air_pollution_functions

environmental_insights.air_pollution_functions#

air_pollution_concentrations_to_UK_daily_air_quality_index#

def air_pollution_concentrations_to_UK_daily_air_quality_index(
        predicitions, pollutant, air_pollutant_column_name)

Add onto an existing dataframe the Daily Air Quality Index (https://uk-air.defra.gov.uk/air-pollution/daqi?view=more-info) for the air pollutant concentration data described.

Arguments:

predicitions : pandas.DataFrame A dataframe of the air pollution concentrations that are to be added onto. pollutant : str The string of the air pollutant concentration thresholds to be used to create the air quality indexes. air_pollutant_column_name : str The string of the column name for the air pollution concentration to calculate the air quality index on.

Returns:

pandas.DataFrame A dataframe with the additional columns for the air quality index based on the outlined air pollution concentration data.

visualise_air_pollution_daily_air_quality_index#

def visualise_air_pollution_daily_air_quality_index(
        air_pollution_GDF,
        aqi_to_plot,
        filename,
        plot_uk_outline: bool = False)

Visualise air_pollution_GDF with the UK Daily Air Quality Index (https://uk-air.defra.gov.uk/air-pollution/daqi?view=more-info) using the individual index bounds and standard color codes.

Arguments:

air_pollution_GDF : geopandas.GeoDataFrame A geodataframe of the air pollution concentrations that are to be plotted. aqi_to_plot : str Name of the column within air_pollution_GDF that has the indexes to plot. Must be one of [“no2 AQI”, “o3 AQI”, “pm10 AQI”, “pm2p5 AQI”, “so2 AQI”]. filename : str Filename for the visualisation (PNG) in the visualisations directory. plot_uk_outline : bool, default False If True, draw the 1km UK grid outline first in a thin black line.

visualise_air_pollution_daily_air_quality_bands#

def visualise_air_pollution_daily_air_quality_bands(
        air_pollution_GDF,
        aqi_to_plot,
        filename,
        plot_uk_outline: bool = False)

Visualise air_pollution_GDF with the UK Daily Air Quality Index bands (https://uk-air.defra.gov.uk/air-pollution/daqi?view=more-info) using the band names and standard color codes.

Arguments:

air_pollution_GDF : geopandas.GeoDataFrame aqi_to_plot : str Name of the column with AQI bands. Must be one of: [“no2 Air Quality Index AQI Band”, “o3 Air Quality Index AQI Band”, “pm10 Air Quality Index AQI Band”, “pm2p5 Air Quality Index AQI Band”, “so2 Air Quality Index AQI Band”]. filename : str plot_uk_outline : bool, default False

change_in_concentrations_visulisation#

def change_in_concentrations_visulisation(first_dataframe,
                                          second_dataframe,
                                          air_pollutant,
                                          filename,
                                          plot_uk_outline: bool = False)

Visualisation the change in concentrations for two datasets of air pollution concentrations based on actual concentrations.

Arguments:

first_dataframe : pandas.DataFrame The first concentration dataset. second_dataframe : pandas.DataFrame The second concentration dataset. air_pollutant : str Common column name in both dataframes used to calculate the difference. filename : str Filename for the output PNG. plot_uk_outline : bool, default False If True, draw the UK grid outline first in thin black.

change_in_aqi_visulisation#

def change_in_aqi_visulisation(first_dataframe,
                               second_dataframe,
                               air_pollutant,
                               filename,
                               plot_uk_outline: bool = False)

Visualisation the change in concentrations for two datasets of air pollution concentrations based on air quality indexes.

Arguments:

first_dataframe : pandas.DataFrame second_dataframe : pandas.DataFrame air_pollutant : str filename : str plot_uk_outline : bool, default False

change_in_concentration_line#

def change_in_concentration_line(air_pollutant, baseline_list, change_list,
                                 days, hours_covered, filename)

Visualisation the change in concentrations for two datasets of air pollution concentrations in a line graph.

Arguments:

air_pollutant : str The name of the air pollutant to plot, baseline_list : list List of the air pollution concentrations for the baseline scenario. change_list : list List of the air pollution concentrations for the future scenario. days : list The days the lists cover. hours_covered : list The hours the lists cover. filename : str Filename for the visualisation output.

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