[go: up one dir, main page]

Zhao et al., 2009 - Google Patents

Assessing the impact of upstream hydraulics on the dose distribution of ultraviolet reactors using fluorescence microspheres and computational fluid dynamics

Zhao et al., 2009

View PDF
Document ID
7158327419859297657
Author
Zhao X
Alpert S
Ducoste J
Publication year
Publication venue
Environmental engineering science

External Links

Snippet

The ultraviolet (UV) dose distribution in an UV reactor was evaluated under multiple upstream configurations using UV-sensitive fluorescent microspheres and computational fluid dynamics (CFD). The upstream hydraulics configurations included two orientations of …
Continue reading at www.researchgate.net (PDF) (other versions)

Similar Documents

Publication Publication Date Title
Wang et al. Exploring the application of artificial intelligence technology for identification of water pollution characteristics and tracing the source of water quality pollutants
Mukherjee et al. Optimal sensor placement with mitigation strategy for water network systems under uncertainty
Kim et al. Augmentation of limited input data using an artificial neural network method to improve the accuracy of water quality modeling in a large lake
Liu et al. Numerical simulation of UV disinfection reactors: Evaluation of alternative turbulence models
Lijuan et al. A leak detection method based on EPANET and genetic algorithm in water distribution systems
Xu et al. Parameter uncertainty and sensitivity analysis of the three Gorges Reservoir and Xiangxi River EFDC model
Xingpo et al. A comprehensive framework for HSPF hydrological parameter sensitivity, optimization and uncertainty evaluation based on SVM surrogate model-A case study in Qinglong River watershed, China
Blatchley III et al. Validation of large-scale, monochromatic UV disinfection systems for drinking water using dyed microspheres
Chiu et al. Effect of UV system modifications on disinfection performance
Teixeira et al. Inorganic scale thickness prediction in oil pipelines by gamma-ray attenuation and artificial neural network
Zhao et al. Assessing the impact of upstream hydraulics on the dose distribution of ultraviolet reactors using fluorescence microspheres and computational fluid dynamics
Bobba et al. Application of first-order and Monte Carlo analysis in watershed water quality models
Gunawan et al. The application of backpropagation neural network method to estimate the sediment loads
Liu et al. Prediction and countermeasures of heavy metal copper pollution accident in the Three Gorges Reservoir Area
Kim et al. Self-optimization of training dataset improves forecasting of cyanobacterial bloom by machine learning
Wang et al. Flow and Transport Simulation Models for Prediction of Chlorine Contact Tank Flow‐Through Curves
Rakhimov et al. Uncertainty Quantification method for CFD applied to the turbulent mixing of two water layers–II: Deterministic Sampling for input uncertainty
Ahmed et al. Stochastic evaluation of disinfection performance in large-scale open-channel UV photoreactors
Bohrerova et al. Experimental measurements of fluence distribution in a UV reactor using fluorescent microspheres
Jaber et al. SENSITIVITY ANALYSES OF A MULTIPHYSICS LONG-TERM CLOGGING MODEL FOR STEAM GENERATORS
CN100462691C (en) An online device for predicting at least one fluid flow parameter during processing
Yu et al. Stagnant water environmental management in urban river networks: An integrated risk analysis involving hydraulic potential dissipation
Yang et al. Simulation study to evaluate temporal aggregation and variability of stochastic water demands on distribution system hydraulics and transport
Peplinski et al. Modeling of disinfection contactor hydraulics under uncertainty
Mannina et al. Receiving water quality assessment: comparison between simplified and detailed integrated urban modelling approaches