ArticleEnvironmental science and pollution research international2021
A study on water quality prediction by a hybrid CNN-LSTM model with attention mechanism.
Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- The dynamic urban river water quality prediction based on hybrid model.Scientific reports · 2026Article
- A Physics-Informed Hybrid Neural Network for High-Precision Temperature Prediction in Semiconductor Process Equipment.Micromachines · 2026Article
- A novel soft sensor framework based on adaptive LSTM ensemble for robust water quality prediction in wastewater treatment plants.Water science and technology : a journal of the International Association on Water Pollution Research · 2026Article
- Federated deep learning for stroke detection: a privacy-preserving, explainable CNN-LSTM framework.Frontiers in neuroscience · 2026Article
- Improving stage-discharge relationship modeling accuracy using a hybrid ViT-CNN framework.Scientific reports · 2025Article
- Air quality prediction based on factor analysis combined with Transformer and CNN-BILSTM-ATTENTION models.Scientific reports · 2025Article
- Modulation pattern recognition method of wireless communication automatic system based on IABLN algorithm in intelligent system.PloS one · 2025Article
- Research on information leakage in time series prediction based on empirical mode decomposition.Scientific reports · 2024Article
- Article
- Uncertainty in Environmental Micropollutant Modeling.Environmental management · 2024Article
- Application of hybrid improved temporal convolution network model in time series prediction of river water quality.Scientific reports · 2023Article
- Water Quality Prediction Based on Multi-Task Learning.International journal of environmental research and public health · 2022Article
- Short-Term Drift Prediction of Multi-Functional Buoys in Inland Rivers Based on Deep Learning.Sensors (Basel, Switzerland) · 2022Article
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Authors and funding
7 authors.
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Abstract
The water environment plays an essential role in the mangrove wetland ecosystem. Predicting water quality will help us better protect water resources from pollution, allowing the mangrove ecosystem to perform its normal ecological role. New approaches to solve such nonlinear problems need further research since the complexity of water quality data and they are easily affected by the noise. In this paper, we propose a water quality prediction model named CNN-LSTM with Attention (CLA) to predict the water quality variables. We conduct a case study on the water quality dataset of Beilun Estuary to predict pH and NH
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