Data mining from process monitoring of typical polluting enterprise DOI

Wenya Zhao,

Peili Zhang, Da Chen

et al.

Environmental Monitoring and Assessment, Journal Year: 2023, Volume and Issue: 195(9)

Published: Aug. 29, 2023

Language: Английский

Prediction of electrocoagulation treatment of tannery wastewater using multiple linear regression based ANN: Comparative study on plane and punched electrodes DOI Creative Commons
Prashant Basavaraj Bhagawati,

Kiran Kumar H S.,

B. Lokeshappa

et al.

Desalination and Water Treatment, Journal Year: 2024, Volume and Issue: 319, P. 100530 - 100530

Published: June 12, 2024

This study investigated the electrocoagulation (EC) treatment of tannery wastewater using plane and punched aluminum iron electrodes at optimum condition pH 9, voltage 20 V, electrode distance 1 cm 90 min electrolysis duration. The efficiency EC process was determined by evaluating levels biochemical oxygen demand (BOD), chemical (COD), Chromium (Cr) in treated effluents. experiment utilized both linear regression Artificial Neural Network (ANN) models for modeling, with ANN model validating predicted from experimental design 95 % confidence. use resulted an removal BOD (89.66 %), COD (96.21 Cr (96.05 TDS (95.77 %). On other hand, achieved a 90.86 98.62 96.94 (Cr), 96.92 (TDS). Similarly, when electrodes, BOD, COD, 87.57 %, 94.77 93.42 93.08 respectively, while removed 89.01 96.59 94.66 TDS. results demonstrate that proposed effectively predicts effluent TDS, addressing economic environmental sustainability concerns.

Language: Английский

Citations

8
Water quality prediction of artificial intelligence model: a case of Huaihe River Basin, China DOI

Jing Chen,

H. Li,

Manirankunda Felix

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(10), P. 14610 - 14640

Published: Jan. 26, 2024

Language: Английский

Citations

5
Accelerated electron transfer process via MOF-derived FeCo/C for enhanced degradation of antibiotic contaminants towards heterogeneous electro-Fenton system DOI
Dan Zhong, Jingna Zhang,

Jianyang Huang

et al.

Chemosphere, Journal Year: 2023, Volume and Issue: 335, P. 138994 - 138994

Published: May 19, 2023

Language: Английский

Citations

13
Hybrid deep learning based prediction for water quality of plain watershed DOI

K. H. Wang,

Lei Liu,

Xuechen Ben

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 262, P. 119911 - 119911

Published: Sept. 2, 2024

Language: Английский

Citations

4
Prediction model for coal chemical wastewater quality after catalytic ozonation process treatment based on deep learning algorithm: Performance evaluation and model comparisons DOI

Yihe Qin,

Run Yuan,

Xuewei Zhang

et al.

Process Safety and Environmental Protection, Journal Year: 2025, Volume and Issue: unknown, P. 107059 - 107059

Published: March 1, 2025

Language: Английский

Citations

0
The Application of Deep Learning Pretreatment Models for O3-Bac Process in Drinking Water Treatment Plant DOI

Shunjun Ma,

X. Cai,

Mei Li

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Deployment of interpretable machine learning in a water treatment device - feasibility exploration of performance enhancement DOI
Bowen Li,

Ruiyao Ma,

Jianwei Jiang

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 58, P. 104781 - 104781

Published: Jan. 11, 2024

Language: Английский

Citations

2
Impact of variable hydrostatic pressure and intermittent operation on filtration performance and biofouling layer in gravity-driven membrane system for practical decentralized water supply DOI
Wenlu Liu, Yanling Yang, Zedong Lu

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 355, P. 129668 - 129668

Published: Sept. 16, 2024

Language: Английский

Citations

2
Siamese based few-shot learning lightweight transformer model for coagulant and disinfectant dosage simultaneous regulation DOI
Bowen Li, Liu Li,

Ruiyao Ma

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 156025 - 156025

Published: Sept. 1, 2024

Language: Английский

Citations

1
Data mining from process monitoring of typical polluting enterprise DOI

Wenya Zhao,

Peili Zhang, Da Chen

et al.

Environmental Monitoring and Assessment, Journal Year: 2023, Volume and Issue: 195(9)

Published: Aug. 29, 2023

Language: Английский

Citations

0