Cargando…
Simulation of the Fate and Seasonal Variations of α-Hexachlorocyclohexane in Lake Chaohu Using a Dynamic Fugacity Model
Fate and seasonal variations of α-hexachlorocyclohexane (α-HCH) were simulated using a dynamic fugacity model in Lake Chaohu, China. Sensitivity analyses were performed to identify influential parameters and Monte Carlo simulation was conducted to assess model uncertainty. The calculated and measure...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Scientific World Journal
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3539339/ https://www.ncbi.nlm.nih.gov/pubmed/23365527 http://dx.doi.org/10.1100/2012/691539 |
_version_ | 1782255069347971072 |
---|---|
author | Kong, Xiang-zhen He, Wei Qin, Ning He, Qi-Shuang Yang, Bin Ouyang, Huiling Wang, Qingmei Yang, Chen Jiang, Yujiao Xu, Fuliu |
author_facet | Kong, Xiang-zhen He, Wei Qin, Ning He, Qi-Shuang Yang, Bin Ouyang, Huiling Wang, Qingmei Yang, Chen Jiang, Yujiao Xu, Fuliu |
author_sort | Kong, Xiang-zhen |
collection | PubMed |
description | Fate and seasonal variations of α-hexachlorocyclohexane (α-HCH) were simulated using a dynamic fugacity model in Lake Chaohu, China. Sensitivity analyses were performed to identify influential parameters and Monte Carlo simulation was conducted to assess model uncertainty. The calculated and measured values of the model were in good agreement except for suspended solids, which might be due to disregarding the plankton in water. The major source of α-HCH was an input from atmospheric advection, while the major environmental outputs were atmospheric advection and sediment degradation. The net annual input and output of α-HCH were approximately 0.294 t and 0.412 t, respectively. Sediment was an important sink for α-HCH. Seasonal patterns in various media were successfully modeled and factors leading to this seasonality were discussed. Sensitivity analysis found that parameters of source and degradation were more important than the other parameters. The sediment was influenced more by various parameters than air and water were. Temperature variation had a greater impact on the dynamics of the model output than other dynamic parameters. Uncertainty analysis showed that the model uncertainty was relatively low but significantly increased in the second half of the simulation period due to the increase in the gas-water diffusion flux variability. |
format | Online Article Text |
id | pubmed-3539339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | The Scientific World Journal |
record_format | MEDLINE/PubMed |
spelling | pubmed-35393392013-01-30 Simulation of the Fate and Seasonal Variations of α-Hexachlorocyclohexane in Lake Chaohu Using a Dynamic Fugacity Model Kong, Xiang-zhen He, Wei Qin, Ning He, Qi-Shuang Yang, Bin Ouyang, Huiling Wang, Qingmei Yang, Chen Jiang, Yujiao Xu, Fuliu ScientificWorldJournal Research Article Fate and seasonal variations of α-hexachlorocyclohexane (α-HCH) were simulated using a dynamic fugacity model in Lake Chaohu, China. Sensitivity analyses were performed to identify influential parameters and Monte Carlo simulation was conducted to assess model uncertainty. The calculated and measured values of the model were in good agreement except for suspended solids, which might be due to disregarding the plankton in water. The major source of α-HCH was an input from atmospheric advection, while the major environmental outputs were atmospheric advection and sediment degradation. The net annual input and output of α-HCH were approximately 0.294 t and 0.412 t, respectively. Sediment was an important sink for α-HCH. Seasonal patterns in various media were successfully modeled and factors leading to this seasonality were discussed. Sensitivity analysis found that parameters of source and degradation were more important than the other parameters. The sediment was influenced more by various parameters than air and water were. Temperature variation had a greater impact on the dynamics of the model output than other dynamic parameters. Uncertainty analysis showed that the model uncertainty was relatively low but significantly increased in the second half of the simulation period due to the increase in the gas-water diffusion flux variability. The Scientific World Journal 2012-12-18 /pmc/articles/PMC3539339/ /pubmed/23365527 http://dx.doi.org/10.1100/2012/691539 Text en Copyright © 2012 Xiang-zhen Kong et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kong, Xiang-zhen He, Wei Qin, Ning He, Qi-Shuang Yang, Bin Ouyang, Huiling Wang, Qingmei Yang, Chen Jiang, Yujiao Xu, Fuliu Simulation of the Fate and Seasonal Variations of α-Hexachlorocyclohexane in Lake Chaohu Using a Dynamic Fugacity Model |
title | Simulation of the Fate and Seasonal Variations of α-Hexachlorocyclohexane in Lake Chaohu Using a Dynamic Fugacity Model |
title_full | Simulation of the Fate and Seasonal Variations of α-Hexachlorocyclohexane in Lake Chaohu Using a Dynamic Fugacity Model |
title_fullStr | Simulation of the Fate and Seasonal Variations of α-Hexachlorocyclohexane in Lake Chaohu Using a Dynamic Fugacity Model |
title_full_unstemmed | Simulation of the Fate and Seasonal Variations of α-Hexachlorocyclohexane in Lake Chaohu Using a Dynamic Fugacity Model |
title_short | Simulation of the Fate and Seasonal Variations of α-Hexachlorocyclohexane in Lake Chaohu Using a Dynamic Fugacity Model |
title_sort | simulation of the fate and seasonal variations of α-hexachlorocyclohexane in lake chaohu using a dynamic fugacity model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3539339/ https://www.ncbi.nlm.nih.gov/pubmed/23365527 http://dx.doi.org/10.1100/2012/691539 |
work_keys_str_mv | AT kongxiangzhen simulationofthefateandseasonalvariationsofahexachlorocyclohexaneinlakechaohuusingadynamicfugacitymodel AT hewei simulationofthefateandseasonalvariationsofahexachlorocyclohexaneinlakechaohuusingadynamicfugacitymodel AT qinning simulationofthefateandseasonalvariationsofahexachlorocyclohexaneinlakechaohuusingadynamicfugacitymodel AT heqishuang simulationofthefateandseasonalvariationsofahexachlorocyclohexaneinlakechaohuusingadynamicfugacitymodel AT yangbin simulationofthefateandseasonalvariationsofahexachlorocyclohexaneinlakechaohuusingadynamicfugacitymodel AT ouyanghuiling simulationofthefateandseasonalvariationsofahexachlorocyclohexaneinlakechaohuusingadynamicfugacitymodel AT wangqingmei simulationofthefateandseasonalvariationsofahexachlorocyclohexaneinlakechaohuusingadynamicfugacitymodel AT yangchen simulationofthefateandseasonalvariationsofahexachlorocyclohexaneinlakechaohuusingadynamicfugacitymodel AT jiangyujiao simulationofthefateandseasonalvariationsofahexachlorocyclohexaneinlakechaohuusingadynamicfugacitymodel AT xufuliu simulationofthefateandseasonalvariationsofahexachlorocyclohexaneinlakechaohuusingadynamicfugacitymodel |