Sentinel-5P Evidence for Low-Carbon Energy Planning and Arctic Air-Quality Resilience in Yukon and Alaska
ユーコン準州とアラスカ州における低炭素エネルギー計画と北極圏の大気質レジリエンスのためのSentinel-5Pの証拠 (AI 翻訳)
Matthew McCarthy, Davoud Ghahremanlou, Amir Ghahremanlou
🤖 gxceed AI 要約
日本語
本研究は、Sentinel-5P TROPOMI衛星データを用いて、ユーコン準州とアラスカ州の2019〜2024年のCOとNO2濃度を分析し、低炭素エネルギー計画と大気質管理への応用可能性を示した。結果、COはアラスカで高く、NO2はユーコンで約1桁高いという明確な地域差が確認された。また、COは両地域で年間約1.5%の有意な減少傾向を示したが、NO2には有意な傾向は見られなかった。これらの知見は、監視が手薄な北極圏コミュニティにおける大気質管理とクリーンエネルギー移行の支援に役立つ。
English
This study uses Sentinel-5P TROPOMI satellite data to analyze CO and NO2 concentrations in Yukon and Alaska from 2019-2024, demonstrating its potential for low-carbon energy planning and air-quality management. Results show a clear regional divide: CO is higher in Alaska, while NO2 is roughly an order of magnitude higher in Yukon. CO shows a modest but significant decline (~1.5%/yr) in both regions, while NO2 shows no significant trend. These findings support air-quality management and cleaner energy transitions in sparsely monitored Arctic communities.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のGX文脈では、遠隔地や離島のエネルギー計画や大気質監視に衛星データを活用する手法が参考になる。特に、監視インフラが限られた地域での低炭素移行の証拠提供という点で、日本の再生可能エネルギー導入や地域レジリエンス強化に示唆を与える。
In the global GX context
Globally, this study contributes to the growing use of satellite remote sensing for environmental monitoring and climate resilience, particularly in data-sparse regions. It offers a replicable framework for integrating air-quality data into low-carbon energy planning, relevant to international efforts on climate adaptation and just transitions.
👥 読者別の含意
🔬研究者:Provides a methodological framework for using satellite data to assess air quality and inform energy planning in remote regions.
🏢実務担当者:Offers a screening tool for communities and utilities to identify air-quality hotspots and prioritize clean energy investments.
🏛政策担当者:Highlights the value of satellite monitoring for environmental regulation and climate resilience planning in underserved areas.
📄 Abstract(原文)
Remote Arctic and sub-Arctic communities face intersecting pressures from rapid climate change, high energy costs, combustion-based heating, and sparse environmental monitoring. In Yukon and Alaska, these conditions make air quality not only a public-health concern but also an important consideration for low-carbon energy planning and climate resilience. This study develops a six-year (2019–2024), paired-jurisdiction framework using Sentinel-5P TROPOMI carbon monoxide (CO) and nitrogen dioxide (NO2) observations to provide screening-level evidence for Arctic air-quality management and cleaner energy transitions. Satellite data were quality-screened and processed in Google Earth Engine and Python and then analyzed through annual, seasonal, and monthly aggregation, hotspot mapping, and Mann–Kendall and Seasonal Mann–Kendall trend tests. Results reveal a persistent jurisdictional split. CO remained consistently higher in Alaska than in Yukon (0 .0296–0.0340 vs 0 .0271–0.0310 mol m−2), while NO2 was substantially higher in Yukon than in Alaska (4.65 × 10−5–5.18 ×10−5 vs 3.81 × 10−6–5.05 ×10−6 mol m−2). Seasonal contrasts were stable, with Alaska exceeding Yukon for CO in all seasons and Yukon exceeding Alaska for NO2 by roughly an order of magnitude. Monthly Seasonal Mann–Kendall analysis detected modest but significant CO declines in both jurisdictions, at about 1.5% per year, whereas NO2 showed no significant trend. Recurrent hotspots were concentrated in interior Alaska and northern Yukon for CO and along the Anchorage–Kenai corridor and northern Yukon for NO2. These findings suggest that Sentinel-5P can support low-carbon energy planning, smoke-season preparedness, inversion-time response, and equity-centered Arctic resilience in sparsely monitored northern regions. Received: 17 March 2025 | Revised: 13 July 2026 | Accepted: 18 July 2026 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statement Matthew McCarthy: Investigation, Visualization, Writing – original draft. Davoud Ghahremanlou: Conceptualization, Investigation, Data curation, Formal analysis, Visualization, Writing – review & editing. Amir Ghahremanlou: Investigation, Methodology, Conceptualization, Data curation, Software, Formal analysis, Visualization, Writing –original draft.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.47852/bonviewglce62029684first seen 2026-08-13 05:05:25
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