Matlab code for "How to feed the global population with less greenhouse gas emissions from nitrogen fertilisers?"
Authors
Gao, Yunhu
Cabrera Serrenho, André
Publication Date
2022-06-07Later Version(s)
Type
Dataset
Metadata
Show full item recordCitation
Gao, Y., & Cabrera Serrenho, A. (2022). Matlab code for "How to feed the global population with less greenhouse gas emissions from nitrogen fertilisers?" [Dataset]. https://doi.org/10.17863/CAM.85113
Description
IMPORTANT NOTE: Please find an updated version of this dataset at https://doi.org/10.17863/CAM.86735
The dataset is the Matlab code used for the analysis in the paper "How to feed the global population with less greenhouse gas emissions from nitrogen fertilisers?".
There are five folders.
1. In the 'Current status and BAU folder', please run Whole.m to obtain the current statues of GHG emissions from nitrogen fertilisers in 2019.
2. In the Uncertainty folder, run All.m to estimate the uncertainty of GHG emissions from synthetic nitrogen fertilizers.
3. In the folder called 2050, three files named as whole_process_*** correspond to different scenarios.
4. In the Uncertainty folder, run GHG_Emissions_Consumption_Regional_demand.m to obtain the 95% confidence interval.
5. In the manure folder, run whole.m to estimate the GHG emissions from manure in world regions..
Format
Matlab 2021b
Keywords
nitrogen fertilizers, greenhouse gas emissions, mitigation, demand reduction, nitrification inhibitor
Sponsorship
C-THRU project funded by VKRF
Embargo Lift Date
2100-01-01
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.85113
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
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