ハリケーン高潮の隠れたパターンを発見 (Research uncovers hidden patterns in hurricane storm surge)

2026-08-03 バージニア工科大学(Virginia Tech)

バージニア工科大学(Virginia Tech)の研究チームは、ハリケーンなどによる高潮(Storm Surge)の発生メカニズムと沿岸域への浸水リスクを、より高精度に評価する新たな解析・モデリング手法を開発した。高潮は強風や気圧低下により海面が異常上昇する現象であり、近年は気候変動に伴う海面上昇や極端気象の増加により被害が深刻化している。研究では、水理・海洋・気象データを統合した数値シミュレーションを用い、高潮の発生から沿岸域への浸水過程を詳細に再現するとともに、地形や防潮施設が浸水範囲に与える影響を評価した。その結果、高潮リスクを従来より精度良く予測でき、防災計画や避難判断、沿岸インフラの設計・維持管理に有用であることを示した。本成果は、高潮災害への備えを強化し、レジリエントな沿岸地域づくりや気候変動への適応策の高度化に貢献することが期待されている。

<関連情報>

熱帯低気圧の高潮の発達特性 Characterization of tropical cyclone surge evolution

Atefeh Alipour, Jennifer L. Irish, Robert Weiss, David F. Muñoz
Coastal Engineering  Available online: 10 June 2026
DOI:https://doi.org/10.1016/j.coastaleng.2026.105086

Highlights

  • Identified eight classes of tropical cyclone surge hydrographs.
  • Along the U.S. Gulf coast, surge evolution is typically right-skewed to symmetric.
  • Along the U.S. Atlantic coast, surge evolution is typically left-skewed.
  • Surge patterns relate qualitatively to storm track characteristics.

Abstract

Storm surge, the rise in sea level driven by strong winds and low pressure during tropical cyclones, is a major cause of coastal flooding and infrastructure damage. Understanding its temporal evolution is critical for improving risk mitigation, particularly along low-lying, densely developed U.S. coasts. This study applies an unsupervised clustering algorithm (K-means clustering) to identify and characterize surge evolution patterns using two decades of high-fidelity ADCIRC hindcasts. Key surge parameters were extracted from thousands of simulated surge hydrographs along the U.S. Atlantic and Gulf of Mexico (hereafter called Gulf) coasts. Eight normalized, physically interpretable hydrograph types were identified, ranging from fast-rising, right-skewed events to prolonged surges with delayed peaks. The classification and storm track analysis attest to the meaningful regional and physical surge patterns. The Gulf coast exhibited the highest diversity and frequency of surge types, mostly represented by right-skewed and symmetric hydrographs. In contrast, the Atlantic coast showed fewer but more spatially variable surge patterns, with greater representation of left-skewed surges. Analysis of storm characteristics showed that storm size, translation speed, approach angle, proximity to peak time, and bathymetric slope interactively modulate surge evolution, though no single factor alone explains the surge pattern variability. These findings establish a framework for advancing the understanding of tropical cyclone surge evolution along U.S. coastlines and provide a basis for linking storm and coastal dynamics with surge evolution patterns. The identified normalized surge hydrographs can serve as scalable templates for simplified surge synthesis, hazard modeling, and risk assessment to support more resilient coastal management strategies.

1702地球物理及び地球化学未分類
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