| Global NEST Journal

Enhancement of Advanced Oxidation Processes in Oil Refinery Wastewater Treatment Using Deep Neural Networks

by Dhivakar Manikandan Velusamy Karthik

Issue 5

Water and wastewater treatment and reuse

The complex composition of persistent and resistant contaminants in oil refinery wastewater presents a significant environmental challenge that conventional treatment methods frequently fail to effectively address. Advanced Oxidation Processes (AOPs), specifically the photo-Fenton method, and a deep...

Advanced oxidation process (AOPs). Deep learning +4 more

Adsorption of Dyes Using Natural Minerals: A Review

by

Asawer Mahdi Subhi et al. View all

Issue 3

Water and wastewater treatment and reuse

Adsorption is an effective and widely technique used for separation many pollutants from wastewater. Pollution of water with color material such as dyes is of environmental concern due to their toxicity and cause carcinogenic effects on human and aquatic life. These dyes are presented into the water...

dyes Waste water treatment +3 more

Feasibility of spent macroalgae biochar for removal of Acid Red 88 (AR) dye from its aqueous solution

by

Thinakaran E et al. View all

Issue 3

Water and wastewater treatment and reuse

Biochar was synthesized from Kappaphycus alvarezii reject (KR) remove the anionic azo dye, Acid Red 88 from wastewater. In this study, biochar was experimented in both batch and column adsorption studies. Batch adsorption studies were performed at varying temperature (25 – 40 °C), dosage (1 – 10 g)...

Adsorption Macroalgae +2 more

Kinetics and adsorption studies of lead (II) onto activated carbon using low cost adsorbents

by

daniel kibami et al. View all

Issue 2

Water and wastewater treatment and reuse

The removal of Lead (II) from aqueous solutions using Fagopyrum esculentum Moench (Buckwheat) and Bambusa vulgaris (common bamboo) as adsorbents was investigated. The effects of various experimental parameters such as initial concentration, contact time and pH have been studied using batch...

Lead Batch method +2 more

Investigation of Performance of Tropospheric Ozone Estimations in The Industrial Region Using Differential Artificial Neural Networks Methods

by

Andac Akdemir et al. View all

Issue 1

Environmental Sciences

The method of Levenberg-Marquardt learning algorithm was investigated for estimating tropospheric ozone concentration. The Levenberg-Marquardt learning algorithm has 12 input neurons (6 pollutants and 6 meteorological variables), 28 neurons in the hidden layer, and 1 output neuron for the Ozone (O3)...

MLP Levenberg-Marquardt +2 more

Adsorption of UV254 in Kerian River water onto ZeliacTM: Analysis using linear and non-linear forms of isotherm models

by

Hamidi Abdul Aziz et al. View all

Issue 1

Hydrology and Water Resources Management

The composite media, Zeliac TM was developed with the initial aim to provide low cost adsorbent with promising adsorption capacity. This study was conducted to investigate the removal of UV absorbance at 254 nm (UV 254) in Kerian river water using Zeliac TM as the media. Batch experiments study was...

Aromatic compounds Natural organic matter +3 more

Water level prediction by artificial neural network in a flashy transboundary river of Bangladesh

by

ROBIN K. BISWAS et al. View all

Issue 2

Hydrology and Water Resources Management

This paper presents the sensitivity analysis results of feed forward multilayer perceptron based Artificial Neural Network model for water level prediction in a data constraint transnational Surma River of Bangladesh. Catchment characteristics, hydro-geomorphological, meteorological and headwater...

Flood Forecasting Stochastic Hydrological Modelling +4 more

Thermal comfort estimation in relation to different orientation in mountainous regions in Greece by using artificial neural networks

by

Chronopoulos K.I., Kamoutsis A.P. and Matsoukis A.S.

Issue 4

General

This study focuses on the estimation of thermal comfort conditions in a high alt. site (1455 m) in Apodotia (MA), Greece, by using the MLP neural network model. This estimation is based on the air temperature (t) and relative humidity (f) data of the middle (1078-1163 m) and of the low altitude...

multilayer perceptron model Air temperature +4 more

Performance evaluation of artificial neural networks in estimating reference evapotranspiration with minimal meteorological data

by

Diamantopoulou M. Georgiou P.E. and Papamichail D.M.

Issue 1

General

Detailed meteorological data required for the equation of FAO-56 Penman-Monteith (P-M) method that was adopted by Food and Agriculture Organization (FAO) as a standard method in estimating reference evapotranspiration (ETo) are not often available, especially in developing countries. The Hargreaves...

neural network techniques Evapotranspiration +2 more

Applied pilot-scale studies on ceramic membrane processes for the treatment of wastewater streams

by

Pagana A., Stoitsas K. and Zaspalis V.T.

Issue 1

General

Asymmetric multilayer Al2O3 ceramic membranes with pore sizes ranging from 3 to 500 nm are synthesized in tubular form with external diameter of 14mm, internal diameter of 8mm and length of 340mm. The membrane synthesis took place on commercially available supports, with the dip-coating technique...

Ceramic membranes Microfiltration +2 more