WuChangfeng,XieZhicheng,ZhongYan.Prediction of Chlorine Dosage in Urban Water Supply Based on an Attention-based Bidirectional GRU Model[J].China Water & Wastewater,2026,42(17):61-66.
Prediction of Chlorine Dosage in Urban Water Supply Based on an Attention-based Bidirectional GRU Model
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第42卷
Number:
第17期
Page:
61-66
Column:
Date of publication:
2026-09-01
- Keywords:
- urban water supply; intelligent chlorine dosing; attention mechanism; bidirectional gated recurrent unit (BiGRU); chlorine dosage prediction
- Abstract:
- To address the issues of nonlinearity, multiple interferences, and the lack of data support for chlorination decision-making in water treatment disinfection processes, this paper proposed an intelligent chlorine dosage prediction model based on an attention mechanism integrated with a bidirectional gated recurrent unit (BiGRU). The model took multiple key factors such as residual chlorine, water supply volume, water temperature, and inflow volume as inputs. By leveraging the BiGRU, the model captured bidirectional temporal dependencies in the chlorination process, fully exploiting both historical and future information to enhance prediction comprehensiveness. Meanwhile, the self-attention mechanism enabled the model to focus on critical temporal features during chlorination, distinguishing important information across different time nodes and improving sensitivity to key variations. Experimental validation using operational data from the Lanzhou water supply system demonstrated that the proposed model achieved excellent prediction performance over a long-term span of 50 days (R2=0.928 1), significantly improving the accuracy of chlorine dosage predictions in complex water supply scenarios.
Last Update:
2026-09-01