G-box Model for the Fate of Emerging Contaminants in Soil

Pesticides applied to agriculture fields move and react into the soil system. The objective of this research was to develop a model that uses the natural soil processes (diffusion, advection, or reaction type processes in multiple phases) to track pesticides and other emerging contaminants (EMCONs)...

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Main Author: Cranfield, Eileen
Other Authors: Thibodeaux, Louis
Format: Others
Language:en
Published: LSU 2014
Subjects:
Online Access:http://etd.lsu.edu/docs/available/etd-04112014-151802/
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spelling ndltd-LSU-oai-etd.lsu.edu-etd-04112014-1518022014-04-26T03:44:43Z G-box Model for the Fate of Emerging Contaminants in Soil Cranfield, Eileen Chemical Engineering Pesticides applied to agriculture fields move and react into the soil system. The objective of this research was to develop a model that uses the natural soil processes (diffusion, advection, or reaction type processes in multiple phases) to track pesticides and other emerging contaminants (EMCONs) in the soil over space and time. The model separates the soil into a series of boxes with soil processes passing through and into the boxes. With a system of equations developed from these processes, the model produces a gradient concentration profile, hence the Gradient Box, or G-box Model. The model is first tested against a series of simple, one dimension known analytical solutions. The fixed concentration and zero flux boundary conditions analytical solutions are both steady state solutions that use the processes of diffusion and degradation. The semi-infinite slab and the finite quantity surface layer application gradient analytical solutions are both unsteady state solutions with diffusion as its only process. A steady state simultaneous diffusion with an up then down advection processes completed the final case. Upon successful outcome comparing G-box to the simple solutions, the soil column model was compiled. Nineteen total flux processes were selected and used to build the model. This included the soil column portion and an interface connection to atmospheric inputs. The model then examines several individual processes in the soil, such as dry deposition, wet deposition, diffusion, wind and water erosion, bioturbation, infiltration, and lateral flow. This exercise evaluated these individual processes separately, demonstrating their realistic and intuitively correct behavior patterns. Altering the processes from day-to-day is also tested by using a periodic quantity pesticide application process. A simulated single pesticide application and a seven-day application cycle, with and without reaction, are used to test the model. These positive simulation results on the effect these numerous processes displayed on the concentration behavior of pesticide in the soil supported the validity of the model. Thibodeaux, Louis Gaston, Lewis Valsaraj, Kalliat Selim, Magdi LSU 2014-04-25 text application/pdf http://etd.lsu.edu/docs/available/etd-04112014-151802/ http://etd.lsu.edu/docs/available/etd-04112014-151802/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached herein a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to LSU or its agents the non-exclusive license to archive and make accessible, under the conditions specified below and in appropriate University policies, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.
collection NDLTD
language en
format Others
sources NDLTD
topic Chemical Engineering
spellingShingle Chemical Engineering
Cranfield, Eileen
G-box Model for the Fate of Emerging Contaminants in Soil
description Pesticides applied to agriculture fields move and react into the soil system. The objective of this research was to develop a model that uses the natural soil processes (diffusion, advection, or reaction type processes in multiple phases) to track pesticides and other emerging contaminants (EMCONs) in the soil over space and time. The model separates the soil into a series of boxes with soil processes passing through and into the boxes. With a system of equations developed from these processes, the model produces a gradient concentration profile, hence the Gradient Box, or G-box Model. The model is first tested against a series of simple, one dimension known analytical solutions. The fixed concentration and zero flux boundary conditions analytical solutions are both steady state solutions that use the processes of diffusion and degradation. The semi-infinite slab and the finite quantity surface layer application gradient analytical solutions are both unsteady state solutions with diffusion as its only process. A steady state simultaneous diffusion with an up then down advection processes completed the final case. Upon successful outcome comparing G-box to the simple solutions, the soil column model was compiled. Nineteen total flux processes were selected and used to build the model. This included the soil column portion and an interface connection to atmospheric inputs. The model then examines several individual processes in the soil, such as dry deposition, wet deposition, diffusion, wind and water erosion, bioturbation, infiltration, and lateral flow. This exercise evaluated these individual processes separately, demonstrating their realistic and intuitively correct behavior patterns. Altering the processes from day-to-day is also tested by using a periodic quantity pesticide application process. A simulated single pesticide application and a seven-day application cycle, with and without reaction, are used to test the model. These positive simulation results on the effect these numerous processes displayed on the concentration behavior of pesticide in the soil supported the validity of the model.
author2 Thibodeaux, Louis
author_facet Thibodeaux, Louis
Cranfield, Eileen
author Cranfield, Eileen
author_sort Cranfield, Eileen
title G-box Model for the Fate of Emerging Contaminants in Soil
title_short G-box Model for the Fate of Emerging Contaminants in Soil
title_full G-box Model for the Fate of Emerging Contaminants in Soil
title_fullStr G-box Model for the Fate of Emerging Contaminants in Soil
title_full_unstemmed G-box Model for the Fate of Emerging Contaminants in Soil
title_sort g-box model for the fate of emerging contaminants in soil
publisher LSU
publishDate 2014
url http://etd.lsu.edu/docs/available/etd-04112014-151802/
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