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Updated: Sep 14, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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优化模型,以使用不同的合成采样方法预测一步前进的废水处理厂的极端流量

Isaac G Musaazi1, Lu Liu2, Andrew Shaw3

  • 1Department of Civil and Environmental Engineering, Duke University, BOX 90287, Durham, NC, 27708, USA.

Journal of environmental management
|July 22, 2025
PubMed
概括

由于数据有限,预测水资源回收设施 (WRRF) 罕见的高流量事件具有挑战性. 机器学习模型,特别是带有ADASYN数据增强的随机森林,显示出改善流量预测和运营管理的前景.

关键词:
这就是ADASYN.之前的干旱天.高流量的高流量.机器学习 机器学习在SMOTE中使用.水资源回收设施水资源回收设施.潮湿天气事件 潮湿天气事件

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