Review of Technical Documents Submitted as Part of BHP Billitons - - PowerPoint PPT Presentation
Review of Technical Documents Submitted as Part of BHP Billitons - - PowerPoint PPT Presentation
Review of Technical Documents Submitted as Part of BHP Billitons Water Licence Renewal Application Don Hart, Ph.D.; Ian Collins, P. Eng. EcoMetrix Incorporated 12-13 February, 2013 Scope Water quality modeling methods, assumptions,
Scope
- Water quality modeling – methods, assumptions,
uncertainties, predictions vs monitoring data
- Derivation of site-specific water quality objectives
(SSWQOs) – methods, assumptions, uncertainties
- Parameters of Interest deemed not of potential
concern (predicted < 75% of SSWQO) (Mo, SO4, V)
- Parameters of Potential Concern (predicted > 75% of
SSWQO) but no EQC (K, Cl)
- Parameters of Potential Concern (predicted > 75% of
WQO) but no EQC (Al, Cd, Cu, Se)
Water Quality Model (Rescan)
Cell A DIKE E DIKE D Reclaim Water DIKE C DIKE B
Watershed Watershed Watershed
1616
- 30
Leslie Lake
Cell E Cell D Cell C Cell B Beartooth
Watershed
Process Plant
Underground Water
Koala Panda Natural Runoff Pumped Flows Seepage Processed Kimberlite
Waste Water Site Runoff
Water Quality Model
- Load Balance Model – Cells A-E, Beartooth Pit
submodel – geochemical predictions for pit wall input
- Downstream Model – Leslie, Moose, Nema, Slipper
- Modeled as a series of well-mixed stirred tanks
- Cell D modelled with two layers
- Nutrient degradation in Load Balance Model only
- Water balance calibrated to measured flows
- Flows from underground workings assumed constant
- Planned future flows out of Beartooth Pit
- Water quality based on measured concentrations for
PPD, natural runoff, sump water, underground water
Review of Water Modeling
- Modeling methods and assumptions are reasonable,
uncertainties not large enough to alter conclusions.
- Predictions agree well with measured lake water
quality, usually either accurate or conservative
- Ammonia, barium slightly under-predicted in the
Koala watershed lakes
- Iron under-predicted in Nema and Slipper lakes, but
will not approach WQO
- These small under-predictions are unlikely to alter
conclusions about chemicals of potential concern
Derivation of SSWQOs
- Based on Species Sensitivity Distributions (SSD)
- Followed CCME (2007) methods (5th percentile, HC5)
- Used “resident” species, and “surrogate” species
- Used “acceptable” studies based on quality review
- Chronic “no-effect” concentration for each species
- SSWQO is HC5, or hardness adjusted HC5
- Hardness adjustment for SO4, Cl, nitrate-N
- No hardness relationship for K, Mo, V
- Overall, the SSWQO methodology is appropriate
- Assumption- species used represent the community
Example- SSD for Mo (Rescan)
(x-1.917)
Proportion of Taxa Affected
1.0 0.8 0.6 0.4 0.2
Normal Model 95% Confidence Limits Fish Invertebrate Alga/Plant
y = ½ {1 + erf [
(0.383 2) ]}
HC
5 = 19 mg/L
Lemna minor Lymnaea stagnalis Brachionus calyciflorus Chironomus riparius Daphnia magna Pimephales promelas Ceriodaphnia dubia Chlorella regularis Oncorhynchus mykiss
0.0
Pseudokirchneriella subcapitata
1 10 100 1,000 10,000
Total Molybdenum (mg/L)
Key Uncertainties in SSWQOs
- Chloride – SSWQO adopted from Elphick (2011)
- Hardness relationship for C.dubia assumed for other
sensitive species (all daphnids in Elphick’s SSD)
- Clams may be more sensitive? they drive the lower
HC5 of 120 mg/L from CCME (2011)
- Nitrate – SSWQO is an HC5, hardness adjusted
- Hardness relationship, a pooled slope from 4 taxa,
assumed representative for other sensitive species (lake trout?). New data - trout is hardness protected.
- Sulphate – SSWQO is an HC5, hardness adjusted
- Hardness relationship for C. dubia assumed for other
sensitive species (trout?). New data - trout protected
Parameters of Interest Deemed not of Potential Concern
- Sulphate- SSWQO is 566 mg/L at hardness 160
- max predicted 133 mg/L Leslie, 137 mg/L Moose
- only 24% of SSWQO (not 75%)
- Molybdenum- SSWQO is 19 mg/L
- max predicted 0.168 mg/L Moose Lake
- < 1% of SSWQO (not 75%)
- Vanadium- SSWQO is 0.03 mg/L
- max predicted 0.0062 mg/L Leslie Lake
- only 21% of SSWQO (not 75%)
Parameters of Potential Concern (Predicted > 75% of SSWQO) but no EQC due to “low risk”
- Chloride - SSWQO is 388 mg/L at hardness 160
- max predicted 392 mg/L Moose, 383 mg/L Leslie
- 101% and 99% of SSWQO
- Potassium- SSWQO is 41 mg/L
- max predicted is 42 mg/L Moose, 41 mg/L Leslie
- 103% and 100% of SSWQO
Opinion – predicted to reach SSWQO implies a low level of effect on a few sensitive species; EQC links to SSWQO but allows closer scrutiny than annual AEMP; an EQC would be reasonable.
Parameters of Potential Concern (Predicted > 75% of WQO) but no EQC due to “low risk”
- Aluminum- WQO is 0.1 mg/L for pH >6.5 (CCREM)
- max predicted 0.15 mg/L Leslie Lake
- Chapman memo suggests low or negligible risk at
this level, due to particulate form or DOC or hardness, particularly in the pH 6-8 range
- Rescan memo indicates 87% dissolved in Leslie
- Further work needed to show no effects at 0.15mg/L
- Cadmium- WQO is too low, under revision.
- max predicted 0.3 ug/L in Leslie, hardness 350
- meets EPA WQC. Wait for CCME revision.
Parameters of Potential Concern (Predicted > 75% of WQO) but no EQC due to “low risk”
- Copper - WQO is as low as 2 ug/L at low hardness
(CCREM) but Cu is mainly due to natural runoff
- max predicted 2.5 ug/L Nema, but below WQO
- predicted 2 ug/L Slipper, equal WQO (low hardness)
- No benefit of EQC since mine does not control Cu
- Selenium- WQO is 1 ug/L, but tissue better indicator
- max predicted 1.2 ug/L in Leslie, RW flesh now 4.4
mg/kg dw (BHPB response to IEMA, Jan 2013, p12)
- EPA draft 7.9 mg/kg dw , BC MOE 1 mg/kg ww
- an EQC permits close scrutiny of effluent, not tissue
Thank you.
- Questions?