FLO-2Dシミュレーションに基づく急峻な谷における土石流の災害メカニズムとハザード評価
Disaster mechanisms and hazard assessment of rapid and steep-gully debris flows based on FLO-2D simulation. (原題)
Hai-Wei Du, Runsen Lai, Jianhua Zhu
🤖 gxceed AI 要約
日本語
天山山脈北部の典型的な流域を対象に、現地調査・室内試験・FLO-2Dシミュレーションを統合し、急峻な谷における土石流の発生メカニズムと空間的ハザード分布を解明。2024年のイベントを再現し、最大流動深89.01%、堆積面積87.84%の精度で検証。100年確率シナリオでは最大流動深5.83m、最大流速6.80m/s、高ハザード域2.28×10⁴m²と予測され、下流集落への深刻な脅威が示された。
English
This study integrates field surveys, lab tests, and FLO-2D modeling to analyze debris flow mechanisms and hazard zonation in a steep gully in the North Tianshan Mountains. The model was validated against a 2024 event with 89.01% accuracy for flow depth and 87.84% for deposition area. Under a 100-year rainfall scenario, maximum flow depth reaches 5.83 m, peak velocity 6.80 m/s, and high-hazard zone covers 2.28×10⁴ m², posing severe threats to downstream settlements.
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
日本では土石流ハザード評価が重要であり、気候変動適応策の一環として参考になる。ただし、GX（脱炭素・開示）とは直接関係しない。
In the global GX context
This paper contributes to climate risk assessment and adaptation planning, relevant to global discussions on climate resilience. However, it does not directly address decarbonization or disclosure frameworks.
👥 読者別の含意
🔬研究者:土石流モデリングの検証手法と多シナリオ評価の参考になる。
🏢実務担当者:自治体や建設業者がハザードマップ作成や防災対策に活用できる。
🏛政策担当者:気候変動適応計画や土地利用規制の根拠として有用。
📄 Abstract（原文）
The kinematic evolution and precise hazard zonation of rapid debris flows in steep gullies remain challenging due to complex topographic and hydrological conditions. Taking a typical catchment in the North Tianshan Mountains as a case study, this research investigates the dynamic disaster-triggering mechanisms and spatial hazard distribution of such events by integrating field surveys, laboratory testing, and FLO-2D hydrodynamic modeling. Results indicate that formation is primarily governed by the regional geological setting and rainfall intensity. Highly fractured rock masses provide abundant source material, while high-gradient topography facilitates rapid initiation and transport. Short-term intense rainfall acts as the decisive trigger, with the kinematic evolution characterized as a "source enrichment-dynamic triggering-path conduction-accumulation" disaster chain arising from multi-factor coupling. Quantitative reconstruction of the 2024 event demonstrates that the model achieves verification accuracies of 89.01% for maximum flow depth and 87.84% for deposition area, confirming its reliability for this specific gully type. Multi-scenario hazard assessments reveal that flow depth, velocity, and hazard footprints expand significantly with increasing rainfall return periods. Under a 100-year scenario, the maximum flow depth reaches 5.83 m, the peak velocity is 6.80 m/s, and the high-hazard zone covers 2.28 × 10⁴ m², posing severe threats to downstream settlements. By providing a validated, high-precision hydrodynamic framework, this study offers a robust scientific basis for multi-scenario hazard zonation and the design of engineering mitigation strategies in vulnerable mountainous terrains.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0356759&type=printablefirst seen 2026-08-29 05:21:28 · last seen 2026-09-21 05:14:30
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