A predictive model for ammonium removal in polishing ponds operated in sequential bath mode
The magnitude of pH changes in polishing ponds can be predicted by simple stoichiometric rules if the extent of processes affecting this parameter is known. Thus, the objective of this article was to develop a model that predicts pH variation and ammonia desorption in polishing ponds in sequential b...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2023-01-01
|
| Series: | Water Science and Technology |
| Subjects: | |
| Online Access: | http://wst.iwaponline.com/content/87/1/13 |
| _version_ | 1797903732170555392 |
|---|---|
| author | Carlos Eduardo Pereira de Morais Silvânia Lucas dos Santos Adrianus van Haandel |
| author_facet | Carlos Eduardo Pereira de Morais Silvânia Lucas dos Santos Adrianus van Haandel |
| author_sort | Carlos Eduardo Pereira de Morais |
| collection | DOAJ |
| description | The magnitude of pH changes in polishing ponds can be predicted by simple stoichiometric rules if the extent of processes affecting this parameter is known. Thus, the objective of this article was to develop a model that predicts pH variation and ammonia desorption in polishing ponds in sequential batches, depending on the rates of processes that affect pH in ponds and to evaluate the influence of temperature and depth on these processes. As the temperature conditions change during the year, for model validation, tests were carried out under two medium temperature conditions (hot period and cold period) and four lakes with depths between 0.2 and 1.0 m. The proposed model is validated by the good correspondence between the simulated and experimentally obtained values for the two temperature conditions and for both periods. For the hot period, the model excelled, presenting a high linear correlation, always with R 2 above 0.90 for all ponds. For the cold period, the lowest R 2 obtained was 0.74 for the four lakes. Thus, the proposed model is suitable to describe the pH variation and ammonia desorption in polishing ponds in sequential batches, at all analyzed depths and under both temperature conditions.
HIGHLIGHTS
A predictive model of pH variation and ammonia removal for sequential batch polishing ponds was developed.;
The model showed a high correlation between simulated and experimental values. Finding out how in SBPP the removal of ammonia takes place through volatilization.;
The predictive model can be used in SBPP for various conditions (temperature, depth, sewage characteristics) to obtain the retention time required for ammonia removal with good accuracy.;
The results indicate that SBPP requires a much smaller area than WSP, still showing ammonia removal.; |
| first_indexed | 2024-04-10T09:37:30Z |
| format | Article |
| id | doaj.art-564a480899a74c67b7b4ef85e492222e |
| institution | Directory Open Access Journal |
| issn | 0273-1223 1996-9732 |
| language | English |
| last_indexed | 2024-04-10T09:37:30Z |
| publishDate | 2023-01-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Water Science and Technology |
| spelling | doaj.art-564a480899a74c67b7b4ef85e492222e2023-02-17T16:42:47ZengIWA PublishingWater Science and Technology0273-12231996-97322023-01-01871132610.2166/wst.2022.418418A predictive model for ammonium removal in polishing ponds operated in sequential bath modeCarlos Eduardo Pereira de Morais0Silvânia Lucas dos Santos1Adrianus van Haandel2 Department of Civil and Environmental Engineering, Federal University of Campina Grande, 882-Universitário, Campina Grande 58428-830, Brazil Department of Civil Engineering, Federal University of Rio Grande do Norte, Natal 58410-380, Brazil Department of Civil and Environmental Engineering, Federal University of Campina Grande, 882-Universitário, Campina Grande 58428-830, Brazil The magnitude of pH changes in polishing ponds can be predicted by simple stoichiometric rules if the extent of processes affecting this parameter is known. Thus, the objective of this article was to develop a model that predicts pH variation and ammonia desorption in polishing ponds in sequential batches, depending on the rates of processes that affect pH in ponds and to evaluate the influence of temperature and depth on these processes. As the temperature conditions change during the year, for model validation, tests were carried out under two medium temperature conditions (hot period and cold period) and four lakes with depths between 0.2 and 1.0 m. The proposed model is validated by the good correspondence between the simulated and experimentally obtained values for the two temperature conditions and for both periods. For the hot period, the model excelled, presenting a high linear correlation, always with R 2 above 0.90 for all ponds. For the cold period, the lowest R 2 obtained was 0.74 for the four lakes. Thus, the proposed model is suitable to describe the pH variation and ammonia desorption in polishing ponds in sequential batches, at all analyzed depths and under both temperature conditions. HIGHLIGHTS A predictive model of pH variation and ammonia removal for sequential batch polishing ponds was developed.; The model showed a high correlation between simulated and experimental values. Finding out how in SBPP the removal of ammonia takes place through volatilization.; The predictive model can be used in SBPP for various conditions (temperature, depth, sewage characteristics) to obtain the retention time required for ammonia removal with good accuracy.; The results indicate that SBPP requires a much smaller area than WSP, still showing ammonia removal.;http://wst.iwaponline.com/content/87/1/13ammonia desorptionph elevationpolishing pondspredictive modelssequential batch |
| spellingShingle | Carlos Eduardo Pereira de Morais Silvânia Lucas dos Santos Adrianus van Haandel A predictive model for ammonium removal in polishing ponds operated in sequential bath mode Water Science and Technology ammonia desorption ph elevation polishing ponds predictive models sequential batch |
| title | A predictive model for ammonium removal in polishing ponds operated in sequential bath mode |
| title_full | A predictive model for ammonium removal in polishing ponds operated in sequential bath mode |
| title_fullStr | A predictive model for ammonium removal in polishing ponds operated in sequential bath mode |
| title_full_unstemmed | A predictive model for ammonium removal in polishing ponds operated in sequential bath mode |
| title_short | A predictive model for ammonium removal in polishing ponds operated in sequential bath mode |
| title_sort | predictive model for ammonium removal in polishing ponds operated in sequential bath mode |
| topic | ammonia desorption ph elevation polishing ponds predictive models sequential batch |
| url | http://wst.iwaponline.com/content/87/1/13 |
| work_keys_str_mv | AT carloseduardopereirademorais apredictivemodelforammoniumremovalinpolishingpondsoperatedinsequentialbathmode AT silvanialucasdossantos apredictivemodelforammoniumremovalinpolishingpondsoperatedinsequentialbathmode AT adrianusvanhaandel apredictivemodelforammoniumremovalinpolishingpondsoperatedinsequentialbathmode AT carloseduardopereirademorais predictivemodelforammoniumremovalinpolishingpondsoperatedinsequentialbathmode AT silvanialucasdossantos predictivemodelforammoniumremovalinpolishingpondsoperatedinsequentialbathmode AT adrianusvanhaandel predictivemodelforammoniumremovalinpolishingpondsoperatedinsequentialbathmode |