Investigation of Mechanisam of Metal Ion Adsorption From Aqueous Solutions Using Prosopis Julyflora Roots: Batch and Fixed Bed Column Studies

doi:10.30955/gnj.004061

Cited by 3 publications

(1 citation statement)

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“…Overuse of water leads to an increase in water demand [1,2]. Thousands of new toxins have emerged in recent years as a result of human activity [3]. Some new pollutants are routinely produced by the cosmetics industry, and heavy metals are discharged by a variety of industrial processes [4,5].…”

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confidence: 99%

Artificial Neural Network and Weighted Arithmetic Indexing Approach for Surface Water Quality Assessment of the Brahmani River

2022

Global NEST: The International Journal

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<p>An approach was used in this study to relate the predicted and calculated water quality index (WQI) of the Brahmani River. The WQI was predicted using an artificial neural network (ANN) tool, and the weighted Arithmetic Index technique was used to calculate the WQI (WAI). The WQI is calculated using physicochemical parameters as input data. Pollution Control Board (India) data was utilised to train and evaluate the model, as well as to forecast WQI. The ANN model is trained using the feed-forward back-propogation approach. 70 percent of the data was used for training, whereas 30 percent was used for testing and validation (15 percent) (15 percent). The regression coefficients for all of the stations were greater than 0.9, indicating that ANN modelling produced successful results. For all stations, the average percent of variance between anticipated and computed WQI is 8.63 percent. According to the findings of this study, the ANN model may be useful for predicting the WQI of both surface and groundwater.</p>

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Section: Introductionmentioning

confidence: 99%

Artificial Neural Network and Weighted Arithmetic Indexing Approach for Surface Water Quality Assessment of the Brahmani River

2022

Global NEST: The International Journal

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Production of biochar from Keppaphycus alvarezii (macroalgae) for the removal of eosin yellow: desorption, kinetic, and isotherm studies

Elayappan

Jayanarayanan

Daniel³

2022

Biomass Conv. Bioref.

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Investigation on Solar-Powered Electrocoagulation (SPEC) for the Treatment of Domestic Wastewater (DWW)

Muniasamy

Gameda

Mallaian³

et al. 2022

Advances in Materials Science and Engineering

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Solar-powered electrocoagulation (SPEC) was used for the treatment of domestic wastewater by using aluminum electrodes. As a single-unit process for treating household wastewater, the EC is solar-powered. The aim of this research was the removal of chemical oxygen demand (COD), TDS, and turbidity by SPEC. Optimization of various operating parameters such as pH, voltage/current, electrode gap, and pollutant concentration was first performed using direct electrical current. By using batteries and charge controllers with panels, the SPEC reactor has achieved consistent and efficient performance. The effects of COD, turbidity, and TDS exclusion of functioning parameters such as density (8–40 A/m2) and detention time (5–30 min) were examined. The COD reduction was 85%, and removal efficiency of TDS and turbidity was 70.18% and 87.4%. The results have shown the technical feasibility of SPEC design as a potential method for domestic wastewater treatment by electrocoagulation. Further analytical study of sludge was also performed by FTIR and XRD analysis.

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Investigation of Mechanisam of Metal Ion Adsorption From Aqueous Solutions Using Prosopis Julyflora Roots: Batch and Fixed Bed Column Studies

Cited by 3 publications

References 24 publications

Artificial Neural Network and Weighted Arithmetic Indexing Approach for Surface Water Quality Assessment of the Brahmani River

Artificial Neural Network and Weighted Arithmetic Indexing Approach for Surface Water Quality Assessment of the Brahmani River

Production of biochar from Keppaphycus alvarezii (macroalgae) for the removal of eosin yellow: desorption, kinetic, and isotherm studies

Investigation on Solar-Powered Electrocoagulation (SPEC) for the Treatment of Domestic Wastewater (DWW)

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