Multi-Source Synthesis, Harmonization, and Inventory of Critical Infrastructure and Human-Impacted Areas in Permafrost Regions of Alaska (SIRIUS)
The Arctic region has undergone warming at a rate more than three times higher than the global average. This warming has led to the degradation of near-surface permafrost, resulting in a loss of ground stability. This instability not only poses a primary threat to Arctic infrastructure and human-imp...
| Main Authors: | , , , |
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| Format: | Text |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://doi.org/10.5194/essd-2023-393 https://essd.copernicus.org/preprints/essd-2023-393/ |
| Summary: | The Arctic region has undergone warming at a rate more than three times higher than the global average. This warming has led to the degradation of near-surface permafrost, resulting in a loss of ground stability. This instability not only poses a primary threat to Arctic infrastructure and human-impacted areas, but can also lead to secondary ecological hazards from infrastructure failure associated with hazardous materials. This development underscores the need for a comprehensive inventory of critical infrastructure and human-impacted areas, that is linked to environmental data to assess their susceptibility to permafrost degradation as well as the ecological consequences that may arise from infrastructure failure. In this study, we provide such an inventory for Alaska, a vast state covering approximately 1.5 million km 2 , with a population of over 733,000 people and a history of industrial development on permafrost. Our SIRIUS inventory integrates data from (i) the Sentinel-1/2 derived Arctic coastal human impact dataset (SACHI), (ii) OpenStreetMap , (iii) the pan-Arctic catchments summary database (ARCADE), (iv) the permafrost extent, probability and mean annual ground temperatures, and (v) the contaminated sites database and reports to create a unified new dataset of critical infrastructure and human-impacted areas as well as permafrost and watershed information for Alaska. The integration steps involved harmonizing spatial references, extents, and geometries, the usage of text mining techniques to generate additional geospatial data on contaminated sites – including contaminants, cleanup duration, and affected medium – from textual reports, and the incorporation of a uniform usage type classification scheme for infrastructure. The combination of SACHI and OSM enhanced the detail of the usage type classification for infrastructure from 5 to 13 categories, which allows for the identification of elements critical to Arctic communities beyond industrial sites. Further, the new inventory unites the high level ... |
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