The application of artificial neural networks (ANNs) in the treatment of wastewater has achieved increasing attention, as it enhances the efficiency and sustainability of wastewater treatment plants (WWTPs). This paper explores the application of ANN-based models in WWTPs, focusing on the latest published research work, by presenting the effectiveness of ANNs in predicting, estimating, and treatment of diverse types of wastewater. Furthermore, this review comprehensively examines the applicability of the ANNs in various processes and methods used for wastewater treatment, including membrane and membrane bioreactors, coagulation/flocculation, UV-disinfection processes, and biological treatment systems. Additionally, it provides a detailed analysis of pollutants viz organic and inorganic substances, nutrients, pharmaceuticals, drugs, pesticides, dyes, etc., from wastewater, utilizing both ANN and ANN-based models. Moreover, it assesses the techno-economic value of ANNs, provides cost estimation and energy analysis, and outlines promising future research directions of ANNs in wastewater treatment. AI-based techniques are used to predict parameters such as chemical oxygen demand (COD) and biological oxygen demand (BOD) in WWTP influent. ANNs have been formed for the estimation of the removal efficiency of pollutants such as total nitrogen (TN), total phosphorus (TP), BOD, and total suspended solids (TSS) in the effluent of WWTPs. The literature also discloses the use of AI techniques in WWT is an economical and energy-effective method. AI enhances the efficiency of the pumping system, leading to energy conservation with an impressive average savings of approximately 10%. The system can achieve a maximum energy savings state of 25%, accompanied by a notable reduction in costs of up to 30%.
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http://dx.doi.org/10.1016/j.chemosphere.2024.142860 | DOI Listing |
Water Res
January 2025
Key Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, Jilin University, Changchun 130021, Jilin, PR China; Chongqing Research Institute, Jilin University, 401120 Chongqing, PR China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130021, Jilin, PR China. Electronic address:
Efficient nutrient recovery from source-separated urine is vital for wastewater treatment, with microalgae as a promising solution. However, bisphenol A (BPA) in urine can hinder microalgal resource recovery and pose water quality risks. The role of plant hormones in enhancing microalgal growth and pollutant removal is known, but their impact on BPA-laden urine treatment is not well-studied.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia. Electronic address:
Effluent from wastewater treatment plants (WWTPs) is recognized as a significant source of antibiotic resistance genes (ARGs) in the environment. Advanced treatment processes such as ultrafiltration (UF), ultraviolet (UV) light disinfection, and chlorination have emerged as promising approaches for ARG removal. However, the efficacy of sequential disinfection processes, such as UF-UV-chlorination on intracellular (iARGs) and extracellular ARGs (eARGs), remains largely unknown.
View Article and Find Full Text PDFWater Res
December 2024
Hubei Key Laboratory of Yangtze River Basin Environmental Aquatic Science, School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074, Wuhan, PR China. Electronic address:
Steep redox gradients and diverse microbial communities in the anaerobic hyporheic zone create complex pathways for the degradation of herbicides, often linked to various terminal electron-accepting processes (TEAPs). Identifying the degradation pathways and their controlling factors under various TEAPs is of great significance for understanding mechanisms of water purification in the hyporheic zone. However, current research on herbicides in this area remains insufficient.
View Article and Find Full Text PDFWater Res
December 2024
College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, PR China. Electronic address:
Membrane technology is an important component of resource recovery. Covalent organic frameworks (COFs) with inherent long-range ordered structure and permanent porosity are ideal materials for fabricating advanced membrane. Zwitterionic COFs have unique features beyond single ionic COFs containing anions or cations.
View Article and Find Full Text PDFJ Environ Manage
January 2025
71 Smith Ave., Bureau of Water Supply, New York City Department of Environmental Protection, Kingston, NY, 12401, USA.
The paired watershed monitoring approach is widely used to investigate hydrologic processes and water quality, providing streamflow and water quality records for long-term trend analysis, as well as data for developing and testing hydrologic models. In this study we use 20 years of streamflow and water quality data, along with a watershed model, to examine sources of stream nutrients and their changes over time in two small streams within the New York City water supply system. We compare sources and trends in stream nitrate and dissolved phosphorus in the urbanized Amawalk watershed with those of the predominantly forested Boyd Corners watershed in the Croton system of reservoirs.
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