Spatiotemporal Wind Speed Changes Along the Yangtze River Waterway (1979–2018)
長江水路沿いの時空間的な風速変化(1979–2018) (AI 翻訳)
Lei Bai, Ming Shang, Chenxiao Shi, Yao Bian, Lilun Liu, Jun-bin Zhang, Qian Li
🤖 gxceed AI 要約
日本語
本研究は1979年から2018年までの長江水路沿いの地上風速の長期変化を高解像度データで解析した。2000年を境に風速が回復に転じ、上流部では風速強化、中流部では複雑地形での弱化、下流部では強い強化が観測された。風速変動は大気循環パターンに支配され、船舶脱炭素化や風力発電の可能性評価に貢献する。
English
This study analyzes long-term surface wind speed changes along the Yangtze River waterway using a high-resolution 5 km gridded dataset (1979–2018). A regime shift around 2000 marked a recovery from terrestrial stilling, with heterogeneous trends: upstream strengthening, midstream weak changes, and downstream robust intensification. The findings provide a baseline for pollutant dispersion modeling and wind-assisted propulsion to support shipping decarbonization.
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
本論文は中国長江流域の風速変化を示すが、日本の内陸水路や沿岸域での風力利用や船舶脱炭素戦略の参考になる可能性がある。特に風速の空間的不均一性と大気循環パターンの影響は、日本の気候特性との比較に有用。
In the global GX context
This paper contributes to global understanding of wind speed trends under climate change, with implications for renewable energy potential and shipping decarbonization. The detailed spatiotemporal analysis provides a methodology applicable to other major waterways.
👥 読者別の含意
🔬研究者:Climate scientists and energy modelers can use the high-resolution wind climatology and trend analysis to improve wind resource assessments and shipping emission models.
🏢実務担当者:Shipping and renewable energy operators along inland waterways can use these findings to optimize wind-assisted propulsion and wind farm siting.
🏛政策担当者:Policymakers in transportation and energy sectors can consider the wind speed trends for long-term shipping decarbonization strategies and renewable energy planning.
📄 Abstract(原文)
Long-term wind speed changes over the Yangtze River waterway have critical implications for inland shipping efficiency, emission dispersion, and renewable energy potential. This study utilizes a high-resolution 5 km gridded reanalysis dataset spanning 1979–2018 to conduct a comprehensive spatiotemporal analysis of surface wind climatology, variability, and trends along China’s primary inland waterway. A pivotal regime shift was identified around 2000, marking a transition from terrestrial stilling to a recovery phase characterized by wind speed intensification. Multiple change-point detection algorithms consistently identify 2000 as a pivotal turning point, marking a transition from the late 20th century “terrestrial stilling” to a recovery phase characterized by wind speed intensification. Post-2000 trends reveal pronounced spatial heterogeneity: the upstream section exhibits sustained strengthening (+0.02 m/s per decade, p = 0.03), the midstream shows weak or non-significant trends with localized afternoon stilling in complex terrain (−0.08 m/s per decade), while the downstream coastal zone demonstrates robust intensification exceeding +0.10 m/s per decade during spring–autumn daytime hours. Three distinct wind regimes emerge along the 3000 km corridor: a high-energy maritime-influenced downstream sector (annual means > 3.9 m/s, diurnal peaks > 6.0 m/s) dominated by sea breeze circulation, a transitional midstream zone (2.3–2.7 m/s) exhibiting bimodal spatial structure and unique summer-afternoon thermal enhancement, and a topographically suppressed upstream region (<2.0 m/s) punctuated by pronounced channeling effects through the Three Gorges constriction. Critically, the observed recovery contradicts widespread basin greening (97.9% of points showing significant positive NDVI trends), which theoretically should enhance surface roughness and suppress wind speeds. Correlation analysis reveals that wind variability is systematically controlled by large-scale atmospheric circulation patterns, including the Northern Hemisphere Polar Vortex (r ≈ 0.35), Western Pacific Subtropical High (r ≈ 0.38), and East Asian monsoon systems (r > 0.60), with distinct seasonal phase-locking between baroclinic spring dynamics and monsoon-thermal summer forcing. These findings establish a comprehensive, fine-scale climatological baseline essential for optimizing pollutant dispersion modeling, and evaluating wind-assisted propulsion feasibility to support shipping decarbonization goals along the Yangtze Waterway.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/atmos17010081first seen 2026-06-29 06:24:07
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