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Updated: Sep 9, 2025

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

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機能選択の最適化と解釈可能な機械学習に基づく都市水浸し感受性の評価

Chenxi Li1, Xiaofan Yang2, Xiaoyong Ni3

  • 1School of National Safety and Emergency Management, Beijing Normal University, Zhuhai, 519087, China.

Journal of environmental management
|August 29, 2025
PubMed
まとめ

この研究は,特性の選択とモデルの訓練を改善し,洪水感受性のマッピングのための新しい枠組みを導入します. 標高とGDPのような重要な要因は,中国深の浸水リスクに大きな影響を及ぼします.

キーワード:
チ2テスト機械学習相互情報提供脆弱な施設浸水感度

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