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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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            |  | "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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