Short-term memory artificial neural network modelling to predict concrete corrosion in wastewater treatment plant inlet chambers using sulphide sensors DOI Creative Commons

J. Mendizabal,

David H. Vernon,

Ben Martin

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 69, P. 106821 - 106821

Published: Dec. 26, 2024

Language: Английский

Understanding of the effect of COD/SO42− ratios and hydraulic retention times on an MFC-EGSB coupling system for treatment sulfate wastewater: Performance and potential mechanisms DOI

Jinyan Wu,

Yuan He,

Guangrong Zhou

et al.

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 71, P. 107244 - 107244

Published: Feb. 15, 2025

Language: Английский

Citations

0

Insights into efficiency of sulphate reduction and microbial community in suspended fillers sequencing batch anaerobic biosystems under nutrient-poor conditions DOI
Yunfeng Zhang, Yantao Wang,

Wanting Du

et al.

Environmental Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: March 27, 2025

Anaerobic biological treatment of sulphate - laden wastewater has been proven to be a feasible approach. However, it encounters formidable challenges when applied under nutrient poor conditions. The efficacy suspended fillers in augmenting microbial concentrations and enhancing the removal contaminants had empirically validated. there is limited research on enhancement by fillers, mechanism remains unclear. Thus, fill anaerobic bioreactor systems were established investigate its feasibility nutrient-poor conditions, mechanisms further explored. findings demonstrated that presence enabled achieve efficiency approximately 68.9%, even organic load rate was as low 0.08 gCOD·(L·d)-1. Principal Coordinates Analysis results clearly differences community composition between sludge filler samples at each stage (R > 0, P < 0.05). Further analysis revealed Desulfobulbus Desulfobacter, which closely associated with removal, exhibited higher relative abundances compared samples. Furthermore, functional genes found exhibit more pronounced expression sample fillers. These suggested creates favourable environment for certain microorganisms, particularly some sulphate-reducing bacteria, activity increasing efficiency.

Language: Английский

Citations

0

Short-term memory artificial neural network modelling to predict concrete corrosion in wastewater treatment plant inlet chambers using sulphide sensors DOI Creative Commons

J. Mendizabal,

David H. Vernon,

Ben Martin

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 69, P. 106821 - 106821

Published: Dec. 26, 2024

Language: Английский

Citations

0