極端な降雨と潮汐逆流下における沿岸都市河川ネットワークの洪水制御のためのルールベースのマルチ目的最適化フレームワーク
Pei Yu1, Soon-Thiam Khu1, Xiaotian Qi1
1School of Environmental Science & Engineering, Tianjin University, Tianjin, 300350, China.
Journal of environmental management
|January 10, 2026
まとめ
この研究では、ストームウォーター管理モデル(SWMM)とNSGA-IIを使用したフレームワークを紹介し、沿岸都市の油圧インフラストラクチャを最適化します。洪水リスクと運用コストを大幅に削減し、都市の回復力を向上させます。
科学分野:
- 環境工学、水資源管理、都市水文学
背景:
- 沿岸都市の河川ネットワークは、極端な降雨と潮汐の影響により、洪水リスクが増大しています。油圧インフラストラクチャの効果的な管理は、これらの複合洪水課題を軽減するために不可欠です。
主な方法:
- ストームウォーター管理モデル(SWMM)とNSGA-IIアルゴリズムを組み合わせて、マルチ目的最適化モデルを作成しました。このフレームワークを、さまざまな降雨-潮汐シナリオ下での福州市の河川ネットワークに適用しました。収束性、適応性に関する指標を使用してパフォーマンスを評価し、最適な水準ルールベース制御(WL-RBC)スキームを特定しました。
結論:
- 提案されたフレームワークは、複合洪水に直面する沿岸都市河川ネットワークの回復力、適応性、およびエネルギー効率を効果的に向上させます。油圧インフラストラクチャの最適化された運用ルールは、洪水が発生しやすい地域における持続可能な都市水管理にとって不可欠です。この研究は、世界中の同様の都市環境における洪水制御と運用効率を改善するためのスケーラブルなソリューションを提供します。
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