goblin_lite.LCA_processing.crop_lca_generator

This module contains the CropLCAGenerator class, which is responsible for generating crop footprints for climate change, eutrophication, and air quality.

Module Contents

Classes

CropLCAGenerator

Manages the calculation of crop-related footprints for various environmental impacts.
class goblin_lite.LCA_processing.crop_lca_generator.CropLCAGenerator(ef_country, crop_dataframe, scenario_dataframe, DATABASE_PATH, AR_VALUE)[source]

Manages the calculation of crop-related footprints for various environmental impacts. Leverages external classes for specific impact calculations.

data_manager_class

An instance of the DataManager class for database interactions.

Type:

DataManager

goblin_data_manager

Handles data management for the GOBLIN LCA framework.

Type:

GoblinDataManager

crop_dataframe

Dataframe containing crop-related data.

Type:

pandas.DataFrame

scenario_dataframe

Dataframe containing scenario-specific parameters.

Type:

pandas.DataFrame

DATABASE_PATH

Path to the external database, if None, default internal database used.

Type:

str, optional

AR_VALUE

IPCC Assessment Report version (e.g., ‘AR4’, ‘AR5’) for impact calculations.

Type:

str

ef_country

Country code for emission factors.

Type:

str

default_urea

Default urea application rate.

Type:

float

default_urea_abated

Default urea abated application rate.

Type:

float

generate_crop_footprint()[source]

Calculates footprints for climate change, eutrophication, and air quality.

generate_aggregated_crop_footprint()[source]

Calculates aggregated climate change footprints for crops.

generate_crop_footprint(urea=None, urea_abated=None)[source]

Generate crop footprints for climate change, eutrophication, and air quality for each scenario.

This method calculates and generates crop footprints for climate change, eutrophication, and air quality for each scenario based on the crop_dataframe and scenario_dataframe class attributes. The footprints are computed using default urea and urea abated values (these can be overridden ) for the baseline, while urea values are derived from the scenario_dataframe for each scenario. The AR Value (AR4, AR5) is derived from the class attributes, which defaults to AR5.

Data is saved to the database using the save_goblin_results_to_database method from the DataManager class.

Details

  • Footprints are generated for each scenario.

  • Employs default urea values for the baseline, scenario-specific urea from the scenario_dataframe.

  • Leverages the following classes:

    • ClimateChangeCrop

    • EutrophicationCrop

    • AirQualityCrop

  • Saves results to a database via the DataManager class.

param urea:

Urea application rate. Defaults to class-level default.

type urea:

float, optional

param urea_abated:

Urea abated application rate. Defaults to class-level default.

type urea_abated:

float, optional

rtype:

None

generate_aggregated_crop_footprint(urea=None, urea_abated=None)[source]

Generate aggregated crop footprints for climate change.

This method calculates and generates aggregated crop footprints for climate change based on the provided crop_dataframe and scenario_dataframe. The footprints for the baseline are computed using default urea and urea abated values (these can be overridden), as well as the AR value (AR4, AR5), defaults to AR5, specified in the class instance.

Data is saved to the database using the save_goblin_results_to_database method from the DataManager class.

Details

  • Footprints are generated for each scenario.

  • Employs default urea values for the baseline, scenario-specific urea from the scenario_dataframe.

  • Leverages the ClimateChangeCrop class.

  • Saves results to a database via the DataManager class.

param urea:

Urea application rate. Defaults to class-level default.

type urea:

float, optional

param urea_abated:

Urea abated application rate. Defaults to class-level default.

type urea_abated:

float, optional

rtype:

None