www.valenza-engineering.com 381_R_04_Rev 0 OGNZL_WUG_Phase1_Conceptual_Mitigation 20 5.3.2. DATA EVALUATION Data from the 38 packer tests analysed by Golder was reviewed and reanalysed using a spreadsheetbased calculation of Lugeon pressure step values and to calculate static water levels from initial test pressures. The packer results were evaluated against borehole geological and geotechnical information to generate cross-sections to show the distribution of permeability. Exploratory Data Analysis (EDA) was used to examine correlations between various sets of attributes in the geological and geotechnical datasets. The comparison between the two packer test data analyses shows a similar distribution of K values with the Golder set, with one or two exceptions, being generally lower than FloSolutions, though remaining within an acceptable range. Piezometric levels were assessed from the automated monitoring points at 13 locations, these being three multi-level (3 sensors) VWPs, and two dual-level (shallow and deep) standpipe piezometers. Hydrographs were generated for each piezometric dataset. 5.3.3. MODEL DATA REPRESENTATION The reanalysed and newly generated data assessments have been included in the Leapfrog CHM as interpolated cross-sections showing permeability distribution along test sections and interpreted piezometric levels from the combined calculated (packer test) and measured water level data. 5.3.4. DATA GAPS Preliminary characterisation of the EGV and T-Stream Vein systems has been possible within the limited extent of the CHM, however, wider groundwater processes are unable to be fully described due to the lack of important information. In particular, these include: • Surface water-groundwater interactions. • Expected connections between shallow and deeper groundwater. • Expected interactions between the underground mine during development and shallow groundwater and streams. • Due to access constraints, there is currently no information on the shallow groundwater system directly overlying the EG vein. The CHM development has identified the key data gaps that affect the ability to understand the WUG groundwater system and its interactions with surface water systems. This allows field data collection to be focused on closing these gaps to feedback into improvements of the conceptual model. Only after these gaps have been closed and the conceptual model updated can the development of numerical solutions progress. The following data gaps have been identified by FloSolutions during the CHM development (ref. 20): • Characterisation of the extent and nature of surface water-groundwater interactions. Streambed conductance controls the contribution of groundwater to baseflow and streambed leakage during seasonal low flow. o Stream depletion and baseflow estimates. Identification of gaining and losing stretches (other consultants).
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