Statistical Analysis and Optimization of Ammonia Nitrogen Removal from Aqueous Solutions and Landfill Leachate by Ultrasound Iradiation

The application of Ultrasound (US) irradiation to remove ammonia nitrogen from aqueous solutions, including synthetic solution and landfill leachate, at 20 kHz was investigated in this thesis. Batch experiments were carried out using two synthetic solutions with initial ammonia concentrations of 300...

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Main Author: Tobalt, Andrew
Other Authors: Sartaj, Majid
Language:en
Published: Université d'Ottawa / University of Ottawa 2017
Subjects:
pH
Online Access:http://hdl.handle.net/10393/36850
http://dx.doi.org/10.20381/ruor-21122
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spelling ndltd-uottawa.ca-oai-ruor.uottawa.ca-10393-368502018-01-05T19:03:12Z Statistical Analysis and Optimization of Ammonia Nitrogen Removal from Aqueous Solutions and Landfill Leachate by Ultrasound Iradiation Tobalt, Andrew Sartaj, Majid Kennedy, Kevin Ultrasonic Irradiation Ammonia Statistical Analysis pH Sonication Time Response Surface Methodology Optimization Factorial Design The application of Ultrasound (US) irradiation to remove ammonia nitrogen from aqueous solutions, including synthetic solution and landfill leachate, at 20 kHz was investigated in this thesis. Batch experiments were carried out using two synthetic solutions with initial ammonia concentrations of 3000 and 5000 mg TAN/L in addition to two leachates from new and old landfills. The results of testing showed that US irradiation is an effective treatment technology for the removal of aqueous ammonia. More specifically, it was found that increasing sonication time and pH increased ammonia removal. The maximum observed removal of ammonia was 87.4% at a pH of 11 and sonication time of 25 minutes. Also, it was found that volatilization of ammonia to the atmosphere accounted for 0-7% of removal, the thermal effect of US accounted for 21.1-52.7%, and the non-thermal effect of US accounted for 44.5-78.8% (depending on pH and sonication time). Results of factorial design and response surface methodology showed that pH, energy output (kJ), and the interaction between the two were significant parameters. The predicted two factor interaction (2FI) model was in close agreement to the observed data (R2 = 0.94) and produced an optimum ammonia removal of 87% at a pH of 10.9 and energy output of 94.8 kJ. Analysis of variance tests showed that there were no significant differences in the percent removal of ammonia due to the non-thermal effects of US across all four solutions (synthetic and leachate) indicating that US irradiation is a non-selective treatment method for ammonia removal. 2017-10-20T13:33:55Z 2017-10-20T13:33:55Z 2017 Thesis http://hdl.handle.net/10393/36850 http://dx.doi.org/10.20381/ruor-21122 en Université d'Ottawa / University of Ottawa
collection NDLTD
language en
sources NDLTD
topic Ultrasonic Irradiation
Ammonia
Statistical Analysis
pH
Sonication Time
Response Surface Methodology
Optimization
Factorial Design
spellingShingle Ultrasonic Irradiation
Ammonia
Statistical Analysis
pH
Sonication Time
Response Surface Methodology
Optimization
Factorial Design
Tobalt, Andrew
Statistical Analysis and Optimization of Ammonia Nitrogen Removal from Aqueous Solutions and Landfill Leachate by Ultrasound Iradiation
description The application of Ultrasound (US) irradiation to remove ammonia nitrogen from aqueous solutions, including synthetic solution and landfill leachate, at 20 kHz was investigated in this thesis. Batch experiments were carried out using two synthetic solutions with initial ammonia concentrations of 3000 and 5000 mg TAN/L in addition to two leachates from new and old landfills. The results of testing showed that US irradiation is an effective treatment technology for the removal of aqueous ammonia. More specifically, it was found that increasing sonication time and pH increased ammonia removal. The maximum observed removal of ammonia was 87.4% at a pH of 11 and sonication time of 25 minutes. Also, it was found that volatilization of ammonia to the atmosphere accounted for 0-7% of removal, the thermal effect of US accounted for 21.1-52.7%, and the non-thermal effect of US accounted for 44.5-78.8% (depending on pH and sonication time). Results of factorial design and response surface methodology showed that pH, energy output (kJ), and the interaction between the two were significant parameters. The predicted two factor interaction (2FI) model was in close agreement to the observed data (R2 = 0.94) and produced an optimum ammonia removal of 87% at a pH of 10.9 and energy output of 94.8 kJ. Analysis of variance tests showed that there were no significant differences in the percent removal of ammonia due to the non-thermal effects of US across all four solutions (synthetic and leachate) indicating that US irradiation is a non-selective treatment method for ammonia removal.
author2 Sartaj, Majid
author_facet Sartaj, Majid
Tobalt, Andrew
author Tobalt, Andrew
author_sort Tobalt, Andrew
title Statistical Analysis and Optimization of Ammonia Nitrogen Removal from Aqueous Solutions and Landfill Leachate by Ultrasound Iradiation
title_short Statistical Analysis and Optimization of Ammonia Nitrogen Removal from Aqueous Solutions and Landfill Leachate by Ultrasound Iradiation
title_full Statistical Analysis and Optimization of Ammonia Nitrogen Removal from Aqueous Solutions and Landfill Leachate by Ultrasound Iradiation
title_fullStr Statistical Analysis and Optimization of Ammonia Nitrogen Removal from Aqueous Solutions and Landfill Leachate by Ultrasound Iradiation
title_full_unstemmed Statistical Analysis and Optimization of Ammonia Nitrogen Removal from Aqueous Solutions and Landfill Leachate by Ultrasound Iradiation
title_sort statistical analysis and optimization of ammonia nitrogen removal from aqueous solutions and landfill leachate by ultrasound iradiation
publisher Université d'Ottawa / University of Ottawa
publishDate 2017
url http://hdl.handle.net/10393/36850
http://dx.doi.org/10.20381/ruor-21122
work_keys_str_mv AT tobaltandrew statisticalanalysisandoptimizationofammonianitrogenremovalfromaqueoussolutionsandlandfillleachatebyultrasoundiradiation
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