Enhanced Prediction of Partial Nitrification-Anammox Process in Wastewater Treatment by Developing an Attention-Based Deep Learning Network
Published in Journal of Environmental Management (IF 7.9, SCI TOP 2区), 2025
学生一作 First Author（与 Jiayuan Ji 等合作）· JEM · IF 7.9 · SCI TOP 2 区 · 9 citations
要点 Highlights
- 深度学习建模污水处理：引入 LSTM 与 DenseNet，对 PN-anammox 反应过程关键参数（pH、亚硝氮浓度、总氮去除率等）进行时间序列建模
- 长期运行预测：在低浓度废水氮去除的长期连续 PN-anammox 反应器运行中，实现反应器性能动态监测与预测
- 工业部署：模型已成功应用于日本东京地区低浓度氮废水处理工业场景，显著提升脱氮效率并降低运行成本
Recommended citation: J Ji, Z Feng, S Chen. "Enhanced Prediction of Partial Nitrification-Anammox Process in Wastewater Treatment by Developing an Attention-Based Deep Learning Network." Journal of Environmental Management, 374, 124012, 2025. (学生一作)
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