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Canada_construction_emissions_inventory_[Public_Data]

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Zenodo2024-07-16 更新2026-05-26 收录
下载链接:
https://zenodo.org/doi/10.5281/zenodo.10233490
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资源简介:
Overview: This data was created using the code stored at the following GitHub. The code applies OpenIO-Canada to Canadian Supply-Use Tables to create EEIO matrices. It then performs additional analyses on said matrices to obtain consumption-based accounts of GHG emissions driven by Canadian construction sectors, as well as data on the geographic flows and GDP intensity of embodied emissions in construction. File descriptions: 1. T2_Figure2_data.csv A file containing the data represented in Figure 2.  2. T3_Figure3_data.csv A file containing the data represented in Figure 3.  3. T4_Figure4_data.csv A file containing the data represented in Figure 4.  4. T5_Figure5_data.csv A file containing the data represented in Figure 5.  5. T6_Figure6_data.csv A file containing the data represented in Figure 6.  6. T7_Figure7_data.csv A file containing the data represented in Figure 7.  7. CanCons_workbook_V2.xlsx A workbook summarizing all the analyses performed to create the figures in the paper "Developing a comprehensive account of embodied emissions within the Canadian construction sector". Contains all the data exported by the jupyter notebook stored at the GitHub link, as well as the additional analysis & formatting steps taken. 8. RAW_data-for-analysis_figure2-7.zip A Zip file containing the raw data created by CanCons_Analysis_notebook.ipynb and used by the CanCons_workbook (above) to produce the figures in question. This includes: Figure2_RAW_data.csv A direct export of the D matrix, along with totals. Figure3_RAW_data.csv Results of a contribution analysis of the final demand for construction-based Gross Fixed Capital Formation (GFCF) from all Canadian provinces and territories. Results show, for construction demand in each province, all the environmental impacts driven by each construction sub-sector. Figure3_RAW_data_GDP.csv Accompanies Figure3_RAW_data.csv. Contains data from the Y matrix on the final demand for construction-based GFCF in $. Used for calculating intensities per unit GDP used in Table 1. Figure4_RAW_data_[construction sector].csv 3 files which contain the results of contribution analyses of 3 individual construction sectors: Roads & Highways, Communications Infrastructure, and Residential Buildings. Results show, for each province, the embodied environmental impacts associated with the inputs into these 3 sectors. Figure5+6_RAW_data_Baseline.csv Results of a standard contribution analysis of Construction GFCF to serve as a baseline for the following files. Figure5+6_RAW_data_Zero[Region].csv Each file represents the result of a contribution analysis for Construction GFCF where the S matrix values for the [Region] (representing the environmental impacts caused by supply-chain steps within a region) have been zeroed out. This means that the results in these files represent a world where the [Region]'s contribution to the final impacts of all other regions have been removed. Subtracting these values from the baseline results in values representing each [Region]'s contribution to consumption-based impacts driven by construction every other region. This allows the flows of embodied emissions in construction materials to be mapped. Figure7_RAW_data.csv Subset of results from Figure3_RAW_data on the distribution of energy (TJ) and emissions (kgCO2) across regions and construction sectors.
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Zenodo
创建时间:
2023-11-30
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