Pesticide transport and transformation modeling in soil column and groundwater contamination prediction
Pesticide transport and transformation were modeled in soil column from the soil surface to groundwater zone. A one dimensional dynamic mathematical and computer model is formulated to simulate two types of pesticides namely 2,4-dichlorophenoxy acetic acid and 1,2-dibromo 3-chloro propane in soil co...
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Published in | International journal of environmental science and technology (Tehran) Vol. 6; no. 2; pp. 233 - 242 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Iran
Center for Environment and Energy Research and Studies (CEERS)
2009
Springer-Verlag Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | Pesticide transport and transformation were modeled in soil column from
the soil surface to groundwater zone. A one dimensional dynamic
mathematical and computer model is formulated to simulate two types of
pesticides namely 2,4-dichlorophenoxy acetic acid and 1,2-dibromo
3-chloro propane in soil column. This model predicts the behavior and
persistence of these pesticides in soil column and groundwater. The
model is based on mass balance equation, including convective
transport, dispersive transport and chemical adsorption in the phases
such as solid, liquid and gas. The mathematical solution is obtained by
finite difference implicit method. The model was verified with
experimental measurements and also with analytical solution. The
simulation results are in good agreement with measured values. The
major findings of this research are the development of the model which
can calculate and predict the concentration of pesticides in soil
profiles, as well as groundwater after 4, 12, 31 days of pesticide
application under steady state and unsteady water flow condition. With
the results of this study, the distribution of various types of
pesticides in soil column to groundwater table can be predicted. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1735-1472 1735-2630 |
DOI: | 10.1007/BF03327627 |