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Updated: Sep 10, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Published on: July 24, 2016

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市民科学,二次元水力モデリング,人工知能による都市洪水曝露評価

Rodrigo Rodríguez1, Agustin Robles-Morua2, Diana Meza-Figueroa3

  • 1IPICYT, Instituto Potosino de Investigación Científica y Tecnológica, División de Geociencias Aplicadas, Camino a la Presa San José No. 2055, Col. Lomas 4a Sec., C.P. 78216, San Luis Potosí, SLP, Mexico.

Journal of environmental management
|August 22, 2025
PubMed
まとめ

この研究は 市民科学,水力モデリング,機械学習を統合して メキシコの都市洪水を予測します このアプローチは 洪水に弱い地域を効果的に予測し 都市の洪水管理に 市民の観察が不可欠であることを強調しています

キーワード:
市民による監視深さ計自然災害降雨量ソーシャルメディア都市への回復力

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