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快速评估城市流域雨水洪水量的工具:一种机器学习方法

Bartosz Szeląg1, Dariusz Majerek2, Anna Laura Eusebi3

  • 1Instituteof Environmental Engineering, Warsaw University of Life Sciences-SGGW, 02-797, Warsaw, Poland.

Journal of environmental management
|February 29, 2024
PubMed
概括

机器学习模型,特别是深度神经网络 (DNN),可以准确预测下水道网络的洪水量. 这为城市洪水管理的复杂机制模型提供了一个数据效率高的替代方案.

关键词:
全球敏感性分析机器学习 机器学习这就是SWMM.特定的洪水水量.

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