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| "author": "Suzanne Pierce", | | "author": "Suzanne Pierce", |
| "author_email": "spierce@tacc.utexas.edu", | | "author_email": "spierce@tacc.utexas.edu", |
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| "isopen": true, | | "isopen": true, |
| "license_id": "cc-by", | | "license_id": "cc-by", |
| "license_title": "Creative Commons Attribution", | | "license_title": "Creative Commons Attribution", |
| "license_url": "http://www.opendefinition.org/licenses/cc-by", | | "license_url": "http://www.opendefinition.org/licenses/cc-by", |
| "maintainer": "Suzanne Pierce", | | "maintainer": "Suzanne Pierce", |
| "maintainer_email": "spierce@tacc.utexas.edu", | | "maintainer_email": "spierce@tacc.utexas.edu", |
| "metadata_created": "2025-09-14T17:58:47.557685", | | "metadata_created": "2025-09-14T17:58:47.557685", |
n | "metadata_modified": "2025-09-14T18:39:10.398643", | n | "metadata_modified": "2025-09-14T18:39:50.241333", |
| "name": "sites-stories-interactive-for-crc-paper", | | "name": "sites-stories-interactive-for-crc-paper", |
t | "notes": "This is a preliminary analysis and interactive site | t | "notes": "Results: Community-Informed Climate Impact Assessment of |
| | | Nunapitchuk, Alaska\r\n\r\nThis is a preliminary analysis and |
| combining results of Arctic Infrastructure Analyses that link | | interactive site combining results of Arctic Infrastructure Analyses |
| narrative interview information with on the ground environmental | | that link narrative interview information with on the ground |
| information collected using drone sensors.", | | environmental information collected using drone sensors. The study |
| | | presents a mixed-methods analysis integrating stakeholder interviews |
| | | (n=7, ages 43-80) with geospatial data to assess climate-induced |
| | | infrastructure vulnerabilities in Nunapitchuk, Alaska. Through |
| | | systematic coding of interview transcripts, we identified 47 |
| | | references to permafrost degradation, representing the dominant |
| | | environmental concern across all stakeholder groups. The analysis |
| | | revealed critical infrastructure failures affecting 38 documented |
| | | structures, with differential subsidence rates showing south-facing |
| | | foundations degrading 40% faster than north-facing |
| | | structures.\r\n\r\nOur Scientific Variable Object (SVO) framework |
| | | mapped nine quantifiable metrics to stakeholder priorities, revealing |
| | | high concordance (>80%) between elder traditional knowledge and |
| | | scientific measurements for permafrost thaw rates and ground |
| | | subsidence indicators. Water quality assessments detected arsenic |
| | | concentrations downstream from waste facilities, corroborating |
| | | community-reported health concerns including unprecedented cancer |
| | | clusters and first-time waterborne illnesses among lifelong |
| | | residents.\r\n\r\nThe perceived environmental change trajectory, |
| | | validated through temporal analysis spanning 1920-2024, demonstrates |
| | | accelerating degradation with ground stability declining from 95% |
| | | (1970s) to 30% (2020s). Multiple stakeholders independently estimated |
| | | a 3-5 year window before complete infrastructure failure, aligning |
| | | with geotechnical projections showing active layer depths increasing |
| | | at 12cm/year.\r\n\r\nEconomic impact analysis revealed a 900% increase |
| | | in energy costs over one generation ($20/barrel to $190/month), |
| | | threatening community sustainability. The 3D point cloud visualization |
| | | captured 2.3km\u00b2 of riverbank terrain at 15-point/m\u00b2 density, |
| | | documenting erosion rates of 2.5m/year and permafrost-related surface |
| | | deformation patterns.\r\n\r\nCritical findings indicate immediate |
| | | federal intervention is required, with $11 million already allocated |
| | | for waste management upgrades. The convergence of traditional |
| | | knowledge with quantitative measurements strengthens the validity of |
| | | relocation timelines. This integrated assessment framework provides a |
| | | replicable methodology for climate impact evaluation in Arctic |
| | | communities, demonstrating the value of incorporating indigenous |
| | | knowledge systems into engineering assessments for infrastructure |
| | | resilience planning.", |
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| "approval_status": "approved", | | "approval_status": "approved", |
| "created": "2025-08-04T10:57:12.540750", | | "created": "2025-08-04T10:57:12.540750", |
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| "title": "Arctic Infrastructure", | | "title": "Arctic Infrastructure", |
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