Topic
Effluent
About: Effluent is a research topic. Over the lifetime, 32668 publications have been published within this topic receiving 533991 citations.
Papers published on a yearly basis
Papers
More filters
Louisiana State University1, Western Washington University2, Louisiana Department of Environmental Quality3, United States Army Corps of Engineers4, United States Environmental Protection Agency5, Clemson University6, Tulane University7, Texas A&M University8, University of New Orleans9, University of Louisiana at Lafayette10
TL;DR: In this article, the use of wetlands for treatment of wastewaters has a number of important ecological and economic benefits, such as improved effluent water quality, increased accretion rates to help offset subsidence, increased productivity of vegetation, and financial and energy savings of capital not invested in conventional tertiary treatment systems.
158 citations
TL;DR: The sensitivity analysis demonstrated that the ANN model was a superior model for 1-day interval T-N concentration prediction in terms of the cause-and-effect relationship between T- N concentration and modeling input values to integrated food waste and waste water treatment.
Abstract: Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, the load of food waste to the conventional waste treatment process might lead to the high concentration of total nitrogen (T-N) impact on the effluent water quality. The objective of this study is to establish two machine learning models—artificial neural networks (ANNs) and support vector machines (SVMs), in order to predict 1-day interval T-N concentration of effluent from a wastewater treatment plant in Ulsan, Korea. Daily water quality data and meteorological data were used and the performance of both models was evaluated in terms of the coefficient of determination (R2), Nash–Sutcliff efficiency (NSE), relative efficiency criteria (drel). Additionally, Latin-Hypercube one-factor-at-a-time (LH-OAT) and a pattern search algorithm were applied to sensitivity analysis and model parameter optimization, respectively. Results showed that both models could be effectively applied to the 1-day interval prediction of T-N concentration of effluent. SVM model showed a higher prediction accuracy in the training stage and similar result in the validation stage. However, the sensitivity analysis demonstrated that the ANN model was a superior model for 1-day interval T-N concentration prediction in terms of the cause-and-effect relationship between T-N concentration and modeling input values to integrated food waste and waste water treatment. This study suggested the efficient and robust nonlinear time-series modeling method for an early prediction of the water quality of integrated food waste and waste water treatment process.
157 citations
TL;DR: The application of SBA-ANAMMOX process in refractory ammonium-rich wastewater is promising, and the biotoxicity assay on luminescent bacterium Photobacterium phosphoreum showed that the pharmaceutical wastewater imparted severe toxicity.
157 citations
TL;DR: Investigation of whether olive oil mill effluent (OOME) could be used as raw material for biosurfactant production found several strains of Pseudomonas sp.
157 citations
TL;DR: A laboratory-scale moving bed biofilm reactor (MBBR) with a volume of 4 L was used to study the biodegradation of coal gasification wastewater and maximum removal efficiencies of 81%, 89%, 94% and 93% were obtained for COD, phenols, SCN(-) and NH(4)(+)-N, respectively.
157 citations