Spatial causal network for hydrogen production in the Pilbara region, Western Australia

Full description

This dataset was compiled by the Water for Sustainable Hydrogen project from source data referenced within the dataset and/or metadata. The spatial causal network comprises a rigorous and comprehensive scientific assessment of potential causal pathways by which hydrogen and renewable energy development can affect environmental assets. The network approach is coupled with a systematic evaluation of the likelihood, consequence and mitigation options for each causal pathway from one or more human activities to multiple valued assets. The method includes analysis of the confidence in these evaluations, recognizing where knowledge gaps constrain assessments of risks to particular assets. The causal network approach is complemented by a spatially explicit analysis of the region that allows residual risk (i.e. risk remaining after all feasible mitigations) to be mapped for all valued assets. This identifies which activities could lead to potential impacts of varying concern (rated from ‘very low’ to ‘very high’), their likely pathways, which valued assets are at risk and where these residual risks are greatest. The output maps reveal ‘risk hotspots’ where more detailed local-scale assessments and monitoring should focus. This dataset contains the spreadsheets describing the causal network for the region and the spatial grids evaluating likelihood, consequence and mitigation. The dataset also contains a spreadsheet summarising the results and all output grids with the level of concern.
Lineage: This dataset has the input spreadsheet describing the nodes and links for each region for both the blue and green spatial causal network (PIL_blue_input.xlsx and PIL_green_input.xlsx) and the spreadsheet summarizing the results of the spatial causal network analysis (PIL_b_aspatial_out.xlsx and PIL_g_aspatial_out.xlsx). The dataset also contains all the grids associated with the link evaluations (grids/input) as geotiff files. The filename corresponds to the entries in the gridname column in the input spreadsheet. The dataset also contains the output grids as geotiff files. These are stored in the directory outputs, organised in a directory per endpoint. Each of these directories contains the overall impact grid (geotiff), and three subdirectories (activity, stressor, process) of the impact grids of the causal pathways that contain the activity, stressor or process. The dataset also contains the asset source datasets (PIL_asset_source_data.xlsx) and the boundary extent shapefile.