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241 - Predicting the impact of surface sources on an aquifer: The<br />
role of dispersion<br />
Michael Frind 1 , Marcelo Sousa 1 , John Molson 2 , Emil Frind 1 & David Rudolph 1<br />
1<br />
University of Waterloo, Waterloo, Ontario, Canada<br />
2<br />
Université Laval, Québec City, Québec, Canada<br />
Predicting the impact of contamination sources or BMPs (Beneficial Management<br />
Practices) on aquifer systems in agricultural areas frequently involves three-dimensional<br />
groundwater flow/transport modelling. Most transport models are based on the standard<br />
advection-dispersion equation, with controlling parameters being one longitudinal<br />
and two transverse dispersivities, horizontal and vertical. The longitudinal dispersivity is<br />
generally chosen in relation to the aquifer length scale on the assumptions that dispersion<br />
is related to travel distance and that flow is predominantly horizontal. This poses a<br />
problem if the system includes a vadose zone where flow is predominantly vertical and<br />
highly transient, and where aquifer-scale dispersivities would not be appropriate. Thus,<br />
a dilemma can arise in the choice of the appropriate longitudinal dispersivity under the<br />
standard dispersion formulation. A better way is to apply a new dispersion formulation<br />
that is based on two longitudinal dispersivities, horizontal and vertical, in addition to two<br />
transverse dispersivities, also horizontal and vertical. This approach was first proposed by<br />
Lichtner et al. (2002) but has not seen much use since first publication. We show that for<br />
multilayer systems, the alternative approach will give more realistic results compared to<br />
the conventional approach with a single aquifer-scale longitudinal dispersivity, which can<br />
under certain conditions lead to a significant underestimation of travel time. The practical<br />
significance of this phenomenon in an agricultural context lies in the predictive accuracy<br />
of BMP impact assessments for agricultural areas. It is therefore imperative in predictive<br />
modelling to use an appropriate dispersion model with reasonable dispersivity values.<br />
206 - Trends of nitrate concentrations in groundwater for variable<br />
geological settings in agricultural watersheds<br />
Nishant Mistry, Jana Levison & Beth Parker<br />
School of Engineering – University of Guelph, Guelph, Ontario, Canada<br />
Ralph C. Martin<br />
Plant Agriculture – University of Guelph, Guelph, Ontario, Canada<br />
Ramon Aravena<br />
Earth and Environmental Sciences – University of Waterloo, Ontario, Canada<br />
Shoaib Saleem, Elisha Persaud & Scott Gardener<br />
School of Engineering – University of Guelph, Guelph, Ontario, Canada<br />
Groundwater is the main source of drinking water for rural communities and many urban<br />
cities surrounded by agricultural fields in Ontario. Intensification of agriculture in recent<br />
years combined with climatic changes (including extreme weather events) pose threats to<br />
groundwater quality. Over application of fertilizers can result in leaching of excess nutrients<br />
below the root zone to aquifers. Therefore, a comprehensive understanding of evolving<br />
cropping systems and their potential impacts on groundwater quality in various geological<br />
IAH-CNC 2015 WATERLOO CONFERENCE<br />
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