©2015 Aquatic Informatics Inc. 1 Shifting the Paradigm by Blending Best Practices Or: what to do when the shift hits the fan…
Jan 21, 2016
©2015 Aquatic Informatics Inc. 1
Shifting the Paradigm by Blending Best Practices
Or: what to do when the shift hits the fan…
©2015 Aquatic Informatics Inc. 2
Shift Happens…
©2015 Aquatic Informatics Inc. 3
Streamflow (discharge) is a highly influential environmental variable Our knowledge and understanding of discharge is made possible by the use of stage-discharge rating curves
Our knowledge and understanding of water in the environment is limited by rating curve ephemerality!
What to do when the shift hits the fan…
©2015 Aquatic Informatics Inc. 4
“Best Practice”
Shift
Blends
Effective Stage
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Divergence in Standards of Practice
“Since 1941 United States abandoned standards established by the International Association of Scientific Hydrology and published two volumes; the work was sponsored by 11 Federal agencies and done by the American Geophysical Union under leadership of R.K. Linsley”
Kolupaila (1961)
Canada was not a participant in IASH
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Water Supply Paper 888 (1943)
WSP 888 was adopted by Canada but not by the rest of the international community
Only rectilinear plots of ratings are shown – no mention of log-log plottingLots of discussion of cause of shift but little in the way of specific guidance in what to do
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Water Supply Paper 2175 (1982)
WSP 2175 (1982) fully describes the current USGS methodology.
Shifts and log-log plotting fully described
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In Theory…
Manning’s equation, where Area = f(H-e).
A generic rating equation where all relevant variables except for stage, collapse into either the coefficient or exponent and are assumed to be remain constant.
𝑄=1𝑛𝑆0.5( 𝑓 (𝐻−𝑒 )
𝑃𝑤)0.67
𝑓 (𝐻−𝑒)
𝑄=𝑐𝑜𝑒𝑓 𝑓 (𝐻−𝑒) 𝑒𝑥𝑝
©2015 Aquatic Informatics Inc. 9
In Practice…
e
©2015 Aquatic Informatics Inc. 10
Time Scales
• Abrupt (step)• E.g. Debris on control• Instantaneous effect on
channel conveyance
• Episodic (transient event) • E.g. Scour/fill• Stability event instability
‘new normal’
• Trending• E.g. Weed growth• Incremental growth/decay
Specific Discharge Curves
time
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Problem Statement
How can I generate a continuous record of discharge when the control conditions are unstable?
A posteriori Use-case: the pre and post conditions are well constrained by gaugings (i.e. I can use inductive reasoning)A priori Use-case: there are too few gaugings to definitively identify the transition (i.e. I need to use abductive reasoning)
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European Approach
Apply time-series corrections to the stage data to create an ‘effective stage’ input to the rating curve until such a time that a new, stable, regime is established.
True Stage
Effective Stage
Discharge (true stage)
Discharge (effective stage)
Field visits
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Australasian approach
Maintain a history of curves and choose a curve that most closely represents the current conditions. Smoothly transition from one curve to the next.
• Family of curves • Curves of same shape that differ in stage offset
• Type curves• Curves of differing shape• May, or may not, converge at top end
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Family of Curves
Log-log scale
Rectilinear scale
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Type Curves
Rectilinear scale
Log-log scale
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Blending (a.k.a. smoothing, phasing)
Start A
Curve A Curve B
Start B Effective B
0%
100%
In effect
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Curve transition
stage
discharge
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North American Approach
Shift the rating curve with up to 3 stages of departure and allow for either smooth or abrupt transitions between shifts.
Rectilinear scale
Log-log scale
Shift diagram
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Single point shift
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2-point (a.k.a. knee-bend) shift
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3-point (a.k.a. truss) shift
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Curve transition
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The best of both worlds
New gauging ‘hints’ at the shape of a new curve
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Shift then blend…
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Shift then blend…
pathology Effective stage Blend Shift
Change in offset Drift correction Family of curves Single-point
Tail-wagging 2-point drift Type curves Knee-bend
Bulge 3-point drift Type curves Truss
Complete blow out blend blend blend
Questions & Answers