Nanoparticle for degradation of BTEX in produced water; an experimental procedure

Sheikholeslami, Zahra; Kebria, Daryoush Yousefi; Qaderi, Farhad

doi:10.1016/j.molliq.2018.05.096

Cited by 36 publications

(13 citation statements)

References 31 publications

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“…Therefore, it is necessary to collect data that is relevant in terms of the mechanism to the desired output and also to the extent that the network is well trained so that it can have sufficient generalization power. In research papers, the data can be prepared from the experiments in laboratory or the site [18,[26][27][28]. As a result, the data have been collected daily for five consecutive years.…”

Section: Data Collectionmentioning

confidence: 99%

Determining Effective Parameters on CO Concentration in Tehran Air by Sensitivity Analysis based on Neural Network Prediction

Qaderi¹,

Babanezhad²,

Ghadi³

2019

J. Model. Optim.

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One of the most toxic pollutant gases produced by fossil fuels is carbon monoxide. Hence, the accurate and regular estimation and control of CO in the cities such as Tehran is inevitable. In this research, for the first time, CO concentration in ambient air was predicted based on 12 important urban and meteorological parameters by neural network. Also, the sensitivity analysis of the factors that effect on the concentration of carbon monoxide in Tehran was investigated based on the pollutant concentration predictive model. In this research, the daily statistical data of Tehran metropolis over the course of five consecutive years from 12 factors affecting the amount of carbon monoxide in Tehran, such as population, density, precipitation, temperature, urban traffic, wind speed, gasoil consumption, moisture, air flow, effective vision and air pressure was used. Based on this database, the artificial neural network with the best possible algorithm had been trained to predict this contaminant and root mean square error of model was equal to 2.54. Then, sensitivity analysis was done to find the most effective factor on the concentration of carbon monoxide, urban density and air pressure. In order to control this hazardous contaminant in urban management, these parameters should be taken into account. Based on the result, by preventing the construction of high towers in Tehran, wind speed average will increase and increasing in wind speed (25%) caused to reducing in carbon monoxide concentration (about 12%). Also, prevention of urban density (25%) will cause to prevention of increasing CO concentration (about 10%).

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Section: Data Collectionmentioning

confidence: 99%

Determining Effective Parameters on CO Concentration in Tehran Air by Sensitivity Analysis based on Neural Network Prediction

Qaderi¹,

Babanezhad²,

Ghadi³

2019

J. Model. Optim.

Self Cite

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“…Recent years, nanoparticles as photocatalysis semiconductors has attracted the considerable attention of scientists (Sheikholeslami et al 2018), because the reduction of semiconductor particle size leads the specific surface area increment, consequently leads the improvement of photocatalytic activity and adsorption ability (Nogueira et al 2018). Many publications have addressed the nano photocatalytic processes in water.…”

Section: Introductionmentioning

confidence: 99%

Application of TiO2 nanoparticle for solar photocatalytic oxidation system

Chu

Bach

2020

Appl Nanosci

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The main purpose of this study is to optimize the applicability of TiO 2 nanoparticles for paper mill and pulp wastewater treatment under solar irradiation using response surface methodology, provided by the software package DOE. The principle independent parameters were TiO 2 loading, pH, time and H 2 O 2 concentration, and COD removal efficiency was chosen as desire response. To evaluate the influence of the parameters on the outputs, the quadratic formulation was applied and for determining the validation of developed models analysis of variance was utilized. The results represented the greatest COD removal was achieved 82%, approximately at pH of 8.1, TiO 2 fraction of 0.83 g/L, H 2 O 2 concentration of 2.4 ml/L and the contact time of 196 min.

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“…On the other hand, rapid development of construction industries and consuming the natural resources have led to reduction of natural resources and environmental degradation by various ways. Therefore, many efforts have been made focusing on by-products and industrial wastes in order to protect the natural resources [3,4,12,17,26,29,32,43,44,57]. For example, reducing the use of construction materials by applying the industrial wastes in concrete is a positive step towards sustainable development [15].…”

Section: Introductionmentioning

confidence: 99%

Optimizing the tensile strength of concrete containing coal waste considering the cost

Khataei

Nasrollahi

2019

SN Appl. Sci.

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Nowadays, removal of the waste from industrial activities is one of the serious problems in the world. Contrarily, needing the development of industrial construction and reduce its costs, with considering the construction quality, are the main priorities of progress. Therefore, in this paper, for the first time, all these issues are considered related to using the waste of coal extraction; also, the application of coal wash rejects in the concrete manufacture and its impact on tensile strength of concrete have been investigated. To this goal, coal waste was prepared from the Central Alborz Coal Preparation Plant in northern Iran. Designing the experiments by the response surface methodology (RSM), the influence of parameters like water/cement (0.4-0.6), cement content (305-445 kg/m 3 ), aggregate volume (0.4-0.6%) and coal waste (0.5-9.75%) on the tensile strength to cost of concrete construction were evaluated. Presenting the model, optimizing and investigating the individual, reciprocal and simultaneous effects of independent variables on the tensile strength to cost of concrete by RSM were conducted for the first time. Based on the results of tensile strength tests and estimating the cost of concrete construction, the highest ratio of tensile strength to cost was obtained by using the cement content of 340 kg/m 3 , water/cement of 0.45, gravel volume of 0.55% and coal waste of 7.5%. In this case, the response value was 1.29E−6 MPa/USD. These results indicate the high potential of these wastes in the production of concrete in terms of tensile strength and also economic aspect.

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Nanoparticle for degradation of BTEX in produced water; an experimental procedure

Cited by 36 publications

References 31 publications

Determining Effective Parameters on CO Concentration in Tehran Air by Sensitivity Analysis based on Neural Network Prediction

Determining Effective Parameters on CO Concentration in Tehran Air by Sensitivity Analysis based on Neural Network Prediction

Application of TiO2 nanoparticle for solar photocatalytic oxidation system

Optimizing the tensile strength of concrete containing coal waste considering the cost

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