bw_temporalis.lcia package#
Submodules#
bw_temporalis.lcia.climate module#
- bw_temporalis.lcia.climate.characterize_co2(series, period=100, cumulative=False)#
Calculate the cumulative or marginal radiative forcing (CRF) from CO2 for each year in a given period.
If cumulative is True, the cumulative CRF is calculated. If cumulative is False, the marginal CRF is calculated. Takes a single row of the TimeSeries Pandas DataFrame (corresponding to a set of (date/amount/flow/activity). For each year in the given period, the CRF is calculated. Units are watts/square meter/kilogram of CO2.
- Returns:
A TimeSeries dataframe with the following columns
- date (datetime64[s])
- amount (float)
- flow (str)
- activity (str)
- Parameters:
period (int | None) –
cumulative (bool | None) –
- Return type:
DataFrame
Notes
See also the relevant scientific publication on CRF: https://doi.org/10.5194/acp-13-2793-2013 See also the relevant scientific publication on the numerical calculation of CRF: http://pubs.acs.org/doi/abs/10.1021/acs.est.5b01118
See also
characterize_methane
The same function for CH4
- bw_temporalis.lcia.climate.characterize_methane(series, period=100, cumulative=False)#
Calculate the cumulative or marginal radiative forcing (CRF) from CH4 for each year in a given period.
If cumulative is True, the cumulative CRF is calculated. If cumulative is False, the marginal CRF is calculated. Takes a single row of the TimeSeries Pandas DataFrame (corresponding to a set of (date/amount/flow/activity). For earch year in the given period, the CRF is calculated. Units are watts/square meter/kilogram of CH4.
- Parameters:
series (array-like) – A single row of the TimeSeries dataframe.
period (int, optional) – Time period for calculation (number of years), by default 100
cumulative (bool, optional) – Should the RF amounts be summed over time?
- Returns:
A TimeSeries dataframe with the following columns
- date (datetime64[s])
- amount (float)
- flow (str)
- activity (str)
- Return type:
DataFrame
Notes
See also the relevant scientific publication on CRF: https://doi.org/10.5194/acp-13-2793-2013 See also the relevant scientific publication on the numerical calculation of CRF: http://pubs.acs.org/doi/abs/10.1021/acs.est.5b01118
See also
characterize_co2
The same function for CO2