Appendices 5-13 - Nautilus Cares - Nautilus Minerals

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<strong>Nautilus</strong> took samples of the sediment for analysis which was used to provide the SSFATE model with realistic data on the sediment’s characteristics. Of particular importance for the modelling study was the grain size associated with the unconsolidated surface sediments (removed using an ROV) and the hard rock competent waste clearing (removed using the purpose built Seafloor Mining Tool or SMT). The School of Geology at James Cook University of North Queensland carried out the grain size analysis from samples of the unconsolidated surface sediments at the Solwara-1 site. The results from all samples were examined and the worst-case distribution was selected based on the maximum composition of fine material. The results from this grain size analysis of this worst-case sample were then provided to APASA for input into the SSFATE model to represent the placement from the ROV operation to remove this unconsolidated surface sediments prior to mining. This data is shown Figure 2.3. In summary the sediment was 25% clay, 38% fine silt, 15% coarse silt, 10% fine sand and 12% coarse sand or greater. This data was used by the SSFATE system to calculate the fall velocities of each sediment class through the water column after discharge. Figure 2.3. Particle size distribution (microns) graph from the ‘worst-case’ sample from the unconsolidated sediments at the Solwara-1 site. Page 7 of 18
Earth Mechanics Institute of the Colorado Shool of Mines carried out the analysis on the cuttings from a linear cutting test using the SMT. The results were examined and the worst- case distribution was selected based on the maximum composition of fine material. The results from this detailed seive analysis of this worst-case sample were then provided to APASA for input into the SSFATE model. This data is shown Figure 2.4. In summary the sediment was only 2% clay, 2% fine silt, 2% coarse silt, 2% fine sand and 92% coarse sand or greater. This data was used by the SSFATE system to calculate the fall velocities of each sediment class through the water column. Figure 2.4. Particle size distribution (mm) graph from the ‘worst-case’ sample from the 2.5 Tip Head Placement Operation linear cuttings test of the SMT. Page 8 of 18
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Project director David Gwyther Proj
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Appendix 8 Juvenile Amphipod Whole
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10-day Survival of M. plumulosa Pag
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Centre for Environmental Contaminan
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Centre for Environmental Contaminan
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Appendix 9 Elutriate Testing Report
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Table of Contents 1. Introduction 3
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These elutriate tests were designed
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2. An aliquot(s) of sample after ce
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Table 1: pH, redox (Eh), conductivi
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1440 minutes which is also consiste
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Concentration (ppb) 250.0 200.0 150
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Concentration (ug/kg ore) (log scal
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Zinc sulfide is the most soluble of
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Table 5: Major ions in 0.45 !m filt
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3.5 Comparison to ANZECC/ARMCANZ (2
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5. References ANZECC/ARMCANZ (2000)
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Appendix 2: Phase 1: Metal concentr
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Appendix 4: Phase 1: Normalised dat
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Appendix 6: Phase 2: Quality contro
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Appendix 8: Metal concentrations in
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Page 157 and 158: MODELLING THE DISPERSION AND SETTLE
Page 159 and 160: TABLE OF CONTENTS 1 EXECUTIVE SUMMA
Page 161 and 162: 2 MODELLING METHODOLOGY AND DATA 2.
Page 163: 2.3 The SSFATE Model Sediment dispe
Page 167 and 168: 3 RESULTS AND DISCUSSION The calcul
Page 169 and 170: Table 3.1. Summary of areas covered
Page 171 and 172: Figure 3.3b. Sediment bottom thickn
Page 173 and 174: Figure 3.3d. Sediment bottom thickn
Page 175: 4 REFERENCES Swanson J.C., Isaji T.
Page 179 and 180: MODELLING THE DISPERSION OF THE RET
Page 181 and 182: TABLE OF CONTENTS 1 EXECUTIVE SUMMA
Page 183 and 184: Given the range of tidal and basin
Page 185 and 186: dispersion is modelled using a rand
Page 187 and 188: Figure 2.1. Data from the ADCP at 6
Page 189 and 190: 2.5 Outfall Configuration and Assum
Page 191 and 192: 3 RESULTS AND DISCUSSION 3.1 Diluti
Page 193 and 194: Figure 3.1. Snapshot in time of a
Page 195 and 196: 5.0 km at any time during the disch
Page 197 and 198: Figure 3.2. The expected (or averag
Page 199 and 200: Figure 3.4 A zoomed in comparison o
Page 201 and 202: 5 REFERENCES Bear, J. and Verruijt,
Page 203: Rusin J., Lunel T. and Davies L., 1
Page 207 and 208: Prediction of underwater noise asso
Page 209 and 210: Table of Contents 1 Introduction ..
Page 211 and 212: 1 Introduction This report presents
Page 213 and 214: 2 Methods 2.1! Source modelling Cav
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dB re 1uPa @ 1m 200 195 190 185 180
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Figure 3. Source location for the s
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Depth (m) 0 500 1000 1500 2000 2500
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Figure 7. Plots of predicted receiv
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Figure 9. Zoomed view of plots of p
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Figure 11. Predicted maximum level
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for computing a is given in Fisher
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ecent studies have indicated that c
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sources to close range, and that th
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masking ranges for different marina
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References Fisher, F. H., Simmons,
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Appendix 14 The Potential for Natur
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'leaky' and recent lava flows have
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iii.) Incrementally these 1 m swath
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Appendix 15 Stakeholder Consultatio
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Environmental Impact Statement Solw
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Wewak (22 October 2007) Not recorde
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San Diego (17-18 April 2008) Enviro
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Appendices 5-13 - Nautilus Cares - Nautilus Minerals

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