NEW PRODUCTS AND ADVANCEMENTS IN 3-D MODELLING PROTOCOLS BASED ON STUDIES IN THICK DRIFT AREAS IN ONTARIO, CANADA

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NEW PRODUCTS AND ADVANCEMENTS IN 3-D MODELLING PROTOCOLS BASED ON STUDIES IN THICK DRIFT AREAS IN ONTARIO, CANADA Abigail K. Burt and Andrew F. Bajc Ontario Geological Survey, 933 Ramsey Lake Road, Sudbury, ON, Canada, P3E 6B5, abigail.burt@ontario.ca 1. INTRODUCTION The May, 2000 tragedy at Walkerton Ontario, which resulted in the loss of seven lives and thousands becoming sick from drinking contaminated municipally-supplied water, focused the attention of both the public and government regulators on the importance of protecting and preserving the quality and sustainability of the provincial groundwater resource. A key recommendation in the Walkerton Inquiry report (now legislated by the provincial Clean Water Act) was the implementation of watershed-based source water protection plans for the province that are designed to protect human health by ensuring that current and future sources of drinking water are protected from potential contamination and depletions (O Connor 2002). An important component of these source water protection plans is the development of 3-D regional groundwater flow models that are based on a sound understanding of the properties and 3-D architecture of subsurface geologic materials. In 2002, the Ontario Geological Survey (OGS) initiated a pilot project of 3-D mapping of thick Quaternary deposits in the Waterloo Region of southwestern Ontario. This was followed by similar studies in the Barrie area of central Ontario, where the Oro Moraine is situated, and the Brantford- Woodstock area of southwestern Ontario. All of these studies will provide conservation authorities and other client groups with the tools necessary for constructing reliable groundwater flow models. 2. THE MODELLING PROCESS The methods used for the compilation and standardization of existing data (including a discussion of the reliability of data sources), data acquisition programs (the examination of natural and manmade exposures, drilling and geophysics), database management, the selection of Datamine Studio, (a software package used primarily by the mining sector), a discussion of the customizable interface that allows a series of repeatable tasks to be scripted and detailed descriptions of the interpolation process have been published in an Ontario Geological Survey Groundwater Resources Study (Bajc and Shirota, 2007) as well as within the extended abstracts of previous 3-D mapping workshops (Bajc 2002, Bajc et al. 2004 and Bajc and Newton 2005), two OGS Open File Reports (Bajc 2004 and Burt 2006) and a Geological Association of Canada fieldtrip guidebook (Bajc and Karrow 2004). Simply put, the modelling process is based on a series of 3-D points, referred to as picks, which are either manually digitized onto borehole traces or automatically derived from the published Quaternary geology maps identifying the upper surface of a given stratum. A particular borehole trace may have any number of picks depending upon the number of strata that can be identified. A user-defined search radius is assigned for each stratum based on the probable continuity of the stratum (bedrock and aquitards are generally assigned larger search radii than aquifers as they are assumed to be more continuous). The upper surface elevation of each stratum is estimated using a pre-selected interpolation method (Inverse power of distance squared) by drawing the user-defined search radius around both real borehole collars and a series of virtual borehole collars created on a regular grid. For each real or virtual borehole, the elevation of the stratum is estimated from all of the picks within the search radius. Once the estimation process is finished, every stratum for every borehole has one of the following elevation values: 1) an actual value defined by a pick; 2) an estimated value defined by interpolation; or 3) absent data indicating insufficient picks within the search area. A series of Boolean operands are applied to correct overlapping surfaces prior to the creation of DTMs for each stratum. The first series of DTMs extend over the entire study area: the DTMs are stacked on top of each other where strata have zero thickness. This is done so that continuous surfaces, required by many hydrogeological models, are created. Finally, a block model is created that fills in the space between successive DTMs with a series of 3-D blocks. A second series of DTMs are created that have holes where the interpolated stratum thickness is zero. Based on the results of the model run, the geometry of each stratum can be refined by digitizing additional points between the borehole traces and running the interpolation again.

3. DATA QUALITY Recent changes to the interpolation process used by the OGS address the problem of integrating variable quality data. Under the original system, a user-defined minimum number of picks, typically three, were required within the search radius in order for an estimated elevation to be assigned to each real or virtual borehole. This method was used effectively for the Waterloo Region study although on occasion boreholes near some of the highest quality data ended up with absent elevation values because the minimum number of picks was not achieved within the given search radius. This problem became even more apparent in the Oro Moraine study where the data density dropped by nearly 50%. In the new system, each pick is attributed with a quality of high, medium or low based on confidence in the data source. For example, logs of continuously cored boreholes, engineering test holes and exposures are considered high quality sources, mud rotary monitoring wells and questionable consultant s logs are considered medium quality sources and water well records are considered low quality sources. During the estimation process, a minimum of 1 high quality, 2 medium quality and 3 medium or low quality picks are required within the given search radius to assign an elevation to a given surface. This method results in a surface that both preferentially honours high quality data and may be more continuous where the data distribution is sparse. 4. MODELLING VALLEY FILL SEDIMENTS IN TUNNEL CHANNELS The western side of the Oro Moraine study area is dominated by an extensive network of 1 to 4.5 km wide, flat-bottomed and steep-sided valleys (tunnel channels) which were most likely formed by the rapid release of subglacial meltwater (Barnett 1990) that eroded up to 150 m (475 feet) of till and typically sandy to silty glaciolacustrine sediments. The valleys were then partially infilled with up to 100 m (325 feet) of both sandy and gravely channel fill and sandy, silty and clayey glaciolacustrine sediments. The valley fills are currently the main municipal water supply source for the city of Barrie and several other smaller communities. Accurately modelling this large and complex valley system has presented new challenges. Scripted rules were developed for the Waterloo Region study to ensure that the stratigraphic integrity of the model is maintained where individual strata are absent whether due to non-deposition or erosion. The elevations of the absent strata are either manually picked or automatically estimated during interpolation so that each stratum not only has an elevation for each real or virtual borehole, even if the elevation represents zero thickness, but also occurs in the correct order. These rules do still work for the large valleys in so far as the stratigraphic order of each stratum is maintained. The modelled surfaces of the older upland till and glaciolacustrine sediments are pushed down below the elevations of the younger channel fill sediments, however, the sides of the valleys end up draped in thick wedges of older sediments (Figure 1). The problem lies in the large and rapid change in elevation. Virtual boreholes near the valley sides have elevations estimated from both the uplands and the valley bottoms which may be as much as 150 m lower. Digitizing additional picks off the borehole trace reduces the thickness of the wedges, but a large number of picks need to be added before the wedges are reduced to a negligible thickness. It is also necessary to create picks for each eroded stratum in exactly the same position or new wedges are modelled.

150 m 10 km Figure 1. Simplified section view of tunnel valley with wedges and ridges of sediment draping the valley walls and bottom (vertical exaggeration 25X). Currently we are experimenting with a multi-stage modelling process that will better reflect the conceptual model of valley creation. Datamine Studio s customizable interface has a function allowing user-selected groups of strata, instead of the complete stratigraphic column, to be modeled. Using this function, the surface elevations of the upland and valley strata are modeled separately (Figure 2). This means that the interpolated elevations for the upland strata reflect their pre-eroded state as they are not pushed down by the off-trace picks needed to carve out the valley shape. A 3-D clipping surface is also modeled based on the valley topography, manual interpretation of subsurface data, and a conceptual model of the valley evolution. This clipping surface is used to cut the valleys out of the upland strata and trim the excess away from the valley strata. The two sets of strata are then merged into a single model.

150 m 10 km Figure 2. Simplified section views of the steps taken to model the tunnel valley network (vertical exaggeration 25X).

5. NEW PRODUCTS The results of the Waterloo Region study, released in August, 2007, include a variety of new and traditional products. These include a report describing the 3-dimensional distribution and character of the modeled Quaternary units, cross-sections, structural contour and isopach maps, depth to aquifer maps, ArcInfo grids and comma-delimited files of modeled surfaces (Bajc and Shirota, 2007). A beta cross-section viewer capable of drawing and saving sections along user defined profiles is also included with the release. One of the most exciting new products developed by the OGS is based on the popular software Google TM Earth. The digital data release contains a Google TM Earth (.kmz) file that portrays fence diagrams saved in the beta viewer, transparent overlays of structural contour, isopach and aquifer recharge/susceptibility maps as well as borehole location and lithologic information in a web-based environment (Figure 3). Figure 3. Example of Google TM Earth (.kmz) fence diagram with borehole locations and lithologic information. 6. REFERENCES Bajc, A.F. 2002. Mapping the subsurface of Waterloo Region: Geological Survey of Canada, Open File 1449, p.8-12. Bajc, A.F. 2004. Three-dimensional Mapping of Quaternary Deposits in Waterloo Region, southwestern Ontario: in Summary of Field Work and Other Activities 2004, Ontario Geological Survey, Open File Report 6145, p.24-1 to 24-4. Bajc, A.F., Endres, A.L., Hunter, J.A., Pullen, S.E. and Shirota, J. 2004. Three-dimensional mapping of Quaternary deposits in the Waterloo Region, southwestern Ontario: Illinois State Geological Survey Open File-Series 2004-8 p.12-15. Bajc, A.F. and Newton, M.J. 2005. 3D Modelling of Quaternary deposits in Waterloo Region, Ontario: a case study using Datamine Studio Software : Geological Survey of Canada, Open File 5048, p.5-10.

Bajc, A.F. and Shirota, J. 2007. Three-dimensional mapping of surficial deposits in the Regional Municipality of Waterloo, southwestern Ontario: report in Ontario Geological Survey, Groundwater Resources Study 3, 42p. Barnett, P.J. 1990. Tunnel valleys: evidence of catastrophic release of subglacial meltwater, centralsouthern Ontario, Canada: Abstracts with Programs, Northeastern Section, Geological Society of America, Syracuse, New York, v. 22, p.3. Burt, A.K. 2006. Three-dimensional geological modelling of thick Quaternary deposits in the Barrie area, central Ontario: in Summary of Field Work and Other Activities 2006, Ontario Geological Survey, Open File Report 6192, p.33-1 to 33-18. O Connor, D.R. 2002. Report of the Walkerton Inquiry; the events of May 2000 and related issues: Toronto, Ontario Ministry of the Attorney General.