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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 />

69

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