Abstracts
IAH_CNC_WEB2
IAH_CNC_WEB2
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in this basin. The HGS/OASIS model framework was used to evaluate the interactions<br />
and dependencies between the engineered and natural hydrologic systems under historic<br />
and projected future climatic conditions and potential structural water management alternatives<br />
in this basin. Results emphasize the need to include groundwater, surface water and<br />
their interactions in water management strategies and planning.<br />
130 - Evaluating innovative techniques for in situ, real-time<br />
remote monitoring of nitrate in groundwater<br />
Graeme MacDonald & Jana Levison<br />
School of Engineering - University of Guelph, Guelph, Ontario, Canada<br />
Certain hydrogeological settings in southern Ontario are particularly vulnerable to nitrate<br />
contamination of groundwater. Nitrate can leach into aquifers during recharge events,<br />
where it is subject to complex fate and transport processes under spatially and temporally<br />
variable flow conditions. Advancements in monitoring and data collection capabilities can<br />
improve our understanding of these transport processes. Groundwater quality measurements<br />
are traditionally obtained by purging wells and analyzing the collected samples ex<br />
situ. This “snapshot” data can disrupt the natural subsurface flow system and is not always<br />
detailed enough to determine critical water quality conditions. This research involved the<br />
application of two innovative sensors, the YSI EXO and Satlantic SUNA V2, to develop<br />
novel groundwater quality sampling techniques. Three unique methods were developed:<br />
flow cell spot sampling, depth-discrete downhole geochemical profiling, and real<br />
time remote groundwater quality monitoring (RTRM). While nitrate was the contaminant<br />
of focus, field parameters including temperature, DO, ORP, EC, and turbidity were<br />
also monitored. Research sites ranged from supply wells located in shallow overburden<br />
aquifers to deep fractured bedrock boreholes. Flow cell spot sampling results were compared<br />
to traditional laboratory sampling methods and were very strongly correlated (R 2 =<br />
0.99), suggesting that the sensors can provide highly accurate field nitrate measurements.<br />
Depth-discrete profiling techniques were used to identify groundwater quality zones corresponding<br />
to different formations. Stratified nitrate concentrations were observed in an<br />
open bedrock borehole (20 m depth) and an overburden well having a long (8 m) screened<br />
interval. RTRM methods were conducted by installing sensor equipment directly downhole.<br />
Groundwater quality parameters were obtained every 15 minutes for several months,<br />
starting in November 2014, greatly improving the temporal resolution of measurements<br />
compared to traditional sampling. Data was transmitted over the HSPA network and observed<br />
in real time, allowing for remote monitoring and effectively reducing labour and<br />
field visits compared to traditional techniques. The detailed datasets obtained will support<br />
future nitrate transport modelling initiatives and complement field projects in which in<br />
situ, detailed nitrate measurements are desired.<br />
IAH-CNC 2015 WATERLOO CONFERENCE<br />
135