The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Kyung Hwa Cho - One of the best experts on this subject based on the ideXlab platform.
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Prediction of Effluent Concentration in a wastewater treatment plant using machine learning models
Journal of Environmental Sciences (China), 2015Co-Authors: Hong Guo, Kwanho Jeong, Jiyeon Lim, Jeongwon Jo, Jong Pyo Park, Young Mo Kim, Joon Ha Kim, Kyung Hwa ChoAbstract: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.
Yusufu Abeid Chande Jande - One of the best experts on this subject based on the ideXlab platform.
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Hybrid CV-CC operation of capacitive deionization in comparison with constant current and constant voltage
Separation Science and Technology, 2016Co-Authors: Muhammad Saleem, Yusufu Abeid Chande Jande, Muhammad AsifAbstract:ABSTRACTCapacitive deionization (CDI) is a technique used to desalinate saline water by means of electrical potential applied to the electrode along both sides of a spacer channel through which water flows. CDI operates either at constant voltage (CV) or at constant current (CC) operation to desalinate saline water. The purity of the water is the main requirement at the outlet of the cell. The lowest Effluent Concentration is achieved within a very short time by operating the CDI cell at CV, but after that the Effluent Concentration continues to increase. On the other hand, in CC, the lowest Concentration is achieved later as compared with CV, but once it is achieved it continues to remain constant until the target voltage is reached. In this paper, we combine both CV and CC operation to get the lowest Concentration for maximum time during the adsorption process so that more desalinated water is produced. We compare hybrid CV-CC and constant voltage and constant current in terms of Effluent Concentration,...
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Desalination using capacitive deionization at constant current
Desalination, 2013Co-Authors: Yusufu Abeid Chande JandeAbstract:Abstract Capacitive deionization (CDI) is an emerging technology of desalinating brackish/seawater to attain freshwater. The process involves polarization of the two electrodes electrically using direct current; thus the cations and anions are attracted towards the oppositely charged electrode. So far most of the experiments/models involve the charging of the CDI cell at constant voltage. However, charging at constant voltage leads to having a shorter time in a given CDI cell cycle when the system has reached its lowest Effluent Concentration. This is undesired phenomena. To overcome this problem desalination process is preferred to be performed at constant current. The dynamic response model to describe the variation of the Effluent Concentration with time under constant current charging has been derived and validated. Also, the effect of processing parameters such as applied current, flow rate, CDI cell dead volume, and capacitance on the lowest Effluent Concentration is analyzed.
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predicting the lowest Effluent Concentration in capacitive deionization
Separation and Purification Technology, 2013Co-Authors: Yusufu Abeid Chande JandeAbstract:Abstract Capacitive deionization (CDI) is a promising technology for desalination of brackish water with different applications such as in the pharmaceutical industry, semiconductor manufacturing, and domestic use. The CDI cell utilizes an electric potential across two electrodes in which one of the electrodes becomes positively charged and the other becomes negatively charged. Cations and anions are attracted towards the anode and cathode, respectively. The adsorption and desorption mechanism within the CDI cell determines the amount of salt in the Effluent stream. Modeling the dynamic response of the Effluent Concentration is vital to understanding the water purity level. In this paper, the equations predicting the lowest Concentration time and lowest Concentration have been found using the adsorption cycle mathematical model. During purification process the Effluent Concentration reaches the highest purity level after a certain period of time. We define the time it takes to reach the highest purity level as lowest Concentration time and the corresponding instantaneous Effluent purer water is what we call lowest Concentration. While the lowest Concentration depends on all of the CDI operating parameters i.e., applied potential, capacitance, flow rate, feed Concentration, dead volume, and spacer volume, the lowest Concentration time depends only on flow rate, dead volume, and capacitance. Using a genetic algorithm, it was found that seawater (32,702 ppm) could be desalinated to as low as 2.1 ppm; which is within the standards for drinking water set by the world health organization.
Jinping Cheng - One of the best experts on this subject based on the ideXlab platform.
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Effluent Concentration and removal efficiency of nine heavy metals in secondary treatment plants in shanghai china
Environmental Science and Pollution Research, 2018Co-Authors: Jingjing Feng, Xiaolin Chen, Xiaojia Chen, Jinping ChengAbstract:Wastewater treatment plants (WWTPs) are the most common form of industrial and municipal wastewater control. To evaluate the performance of wastewater treatment and the potential risk of treated wastewater to aquatic life and human health, the influent and Effluent Concentrations of nine toxic metals were determined in 12 full-scale WWTPs in Shanghai, China. The performance was evaluated based on national standards for reclamation and aquatic criteria published by US EPA, and by comparison with other full-scale WWTPs in different countries. Potential sources of heavy metals were recognized using partial correlation analysis, hierarchical clustering, and principal component analysis (PCA). Results indicated significant treatment effect on As, Cd, Cr, Cu, Hg, Mn, Pb, and Zn. The removal efficiencies ranged from 92% (Cr) to 16.7% (Hg). The results indicated potential acute and/or chronic effect of Cu, Ni, Pb, and Zn on aquatic life and potential harmful effect of As and Mn on human health for the consumption of water and/or organism. The results of partial correlation analysis, hierarchical clustering based on cosine distance, and PCA, which were consistent with each other, suggested common source of Cd, Cr, Cu, and Pb and common source of As, Hg, Mn, Ni, and Zn. Hierarchical clustering based on Jaccard similarity suggested common source of Cd, Hg, and Ni, which was statistically proved by Fisher’s exact test.
Mohan Rao - One of the best experts on this subject based on the ideXlab platform.
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Adsorption studies on treatment of textile dyeing industrial Effluent by flyash
Chemical Engineering Journal, 2006Co-Authors: V V Basava Rao, Sewa Ram, Mohan RaoAbstract:Textile Effluents are highly toxic as they contain a large number of metal complex dyes. The high Concentration of such dyes causes many water borne diseases and increases the BOD of the receiving waters. On the other hand, flyash is a major pollutant generated in coal-based thermal power plants and has potentiality for use as an adsorbent. In the present work, adsorption studies were made in treating the dye solutions of methylene blue (M-B) and Congo red (CR) textile dyes by using flyash. Effects of quantity of adsorbent, time of contact, initial Effluent Concentration, pH and temperature have been investigated experimentally and the results were compared with those obtained by using activated carbon. The first-order adsorption rate constants were determined and found decreasing with temperature. The results obtained were fitted by Langmuir model since monolayer formation observed. Also, Langmuir adsorption isotherm parameters were estimated from the experimental data obtained for both methylene blue and Congo red dyes using both the adsorbents.
W S Eckhoff - One of the best experts on this subject based on the ideXlab platform.
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removal and environmental exposure of alcohol ethoxylates in us sewage treatment
Ecotoxicology and Environmental Safety, 2006Co-Authors: Stephen William Morrall, James C Dunphy, M L Cano, Alex Evans, B P Price, Drew C Mcavoy, W S EckhoffAbstract:Abstract Alcohol ethoxylates (AE) are a common nonionic surfactant employed in consumer and industrial detergents worldwide. Commercial AE are typically complex mixtures composed of >100 homologous compounds with varying alkyl chain lengths and varying numbers of ethylene oxide (EO) units. Recent improvements in analytical methodology have enabled accurate measurement of the entire AE mixture in sewage treatment plant (STP) influents and Effluents, including alkyl chain lengths from 12 to 18 carbons with a range of ethoxylation from 0 to 18 EO units. These improved analytical methods were used to measure AE Concentrations at nine sites representative of sewage treatment processes and geographical locations. These new data will make possible a more accurate assessment of environmental risk for AE in the United States. The results indicate that all AE homologues are effectively removed (>99%) in the most common treatment types. Individual STP total AE Effluent Concentrations ranged from a low of 0.92 μg/L for activated sludge to a high of 15.6 μg/L for a trickling filter process. For the purpose of representing a national average distribution, an average-flow-weighted wastewater treatment plant Effluent Concentration was determined for each AE component. The total-flow-weighted average AE Effluent Concentration was 3.64 μg/L.
