16-Civ-B4 Engineering Hydrology · May 2016
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Paper format. 98-Civ-B4 Engineering Hydrology, May 2016 — a three-hour closed-book examination; a candidate-prepared two-sided aid sheet and one approved Casio or Sharp calculator are permitted. The cover page states that “any five(5) questions constitute a complete paper” and that “each question is equally weighted at twenty (20) points”, so the seven printed Problems each carry 20 marks towards a 100-mark paper. The page-6 Marking Scheme confirms the sub-part split for all seven. Note 1 invites the candidate to state any assumptions made where a question is open to interpretation; this sitting needs that licence twice, and both places are flagged in a callout below. All seven Problems are worked here, because this set is a study resource rather than a timed sitting.
Reference texts. V. T. Chow, D. R. Maidment and L. W. Mays, Applied Hydrology (hydrologic cycle, unit hydrograph theory, Horton infiltration, level-pool and Muskingum routing, frequency analysis); W. Viessman and G. L. Lewis, Introduction to Hydrology, 5th ed. (areal precipitation, hydrograph analysis, conceptual watershed models); P. B. Bedient, W. C. Huber and B. E. Vieux, Hydrology and Floodplain Analysis, 5th ed. (rating curves, reservoir and river routing, urban design storms); R. S. Gupta, Hydrology and Hydraulic Systems, 4th ed. (groundwater recharge and discharge areas, streamflow measurement); L. W. Mays, Water Resources Engineering, 3rd ed. (Rational Method, IDF design practice). For the Canadian frame: Environment and Climate Change Canada IDF curve files, the Water Survey of Canada Hydrometric Manual (mid-section gauging to ISO 748), and the Transportation Association of Canada Drainage Manual for design-storm and runoff-coefficient practice.
Check — two source-data issues and one declared convention.
(1) Problem 1(iii) gives the IDF relation as i = 6.0 − 0.3 td without stating the units of i. The paper's own Problem 6(iii) figure plots rainfall on an axis labelled “Rainfall and Infiltration, mm/h” with a peak near 13, so mm/h is adopted and the alternative reading is carried through in the answer as a sensitivity.
(2) Problem 7(i) as printed cannot be satisfied: the stated area and river discharge fix the runoff depth at 5045.76 mm/a, which is 63 times the 80 mm/a of rain the question supplies, so the residual evapotranspiration comes out large and negative. The answer boxes the runoff depth, demonstrates that the balance cannot close, and then adopts a declared corrected precipitation. This is the response Note 1 asks for.
(3) Problems 3(iii), 5(iii), 6(i) and 7(iii) ask for method, not arithmetic; each is worked on a small dataset that is the solver's own representative example, clearly labelled as illustrative. Every number in those examples, and every number taken from the real source data.
Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.
Difference 1 — the storage-outflow relation, and hence the number of parameters. In reservoir routing the water surface is horizontal, so storage depends on outflow alone: $S = f(O)$ is single-valued, and continuity by itself closes the problem. In a river reach the water surface is sloped and the slope is steeper on the rising limb than on the falling limb, so the same discharge at the downstream end corresponds to more storage on the rise than on the fall. Storage therefore depends on both ends of the reach, which the Muskingum method expresses as $$S = K\,[\,X I + (1 - X) O\,]$$ with $X$ weighting inflow against outflow ($X = 0$ recovers the reservoir case, and $X$ is typically 0.2 to 0.3 in a natural channel). River routing consequently needs two parameters where reservoir routing needs none beyond the reservoir's own survey.
Difference 2 — what happens to the wave, and hence what the answer is used for. A reservoir attenuates strongly and translates hardly at all: the peak outflow may be a small fraction of the peak inflow, and it occurs at the instant of maximum storage, where the inflow and outflow hydrographs cross. A river reach mainly translates the wave — the peak arrives later, having travelled at the flood-wave celerity — and attenuates it only modestly through the wedge storage available in the channel and on the flood plain. Reservoir routing is therefore used to size spillways and set dam freeboard; river routing is used to forecast arrival time and peak stage at a downstream community, and to combine tributary hydrographs at their confluences with the correct relative timing.
A uniformly progressive wave (also called a monoclinal or translatory wave) is a flood wave that moves downstream through a channel at a constant celerity with its shape essentially unchanged, so that an observer travelling with the wave sees a steady profile. It is the idealisation of a flood moving down a long, uniform reach, and its celerity exceeds the mean water velocity — for a wide channel, $c \approx \tfrac{5}{3}\,V$ under the Manning relation — which is why a flood peak overtakes the water that was in the reach when it began.
Reservoir fluctuation is the rise and fall of a body of water whose surface remains essentially horizontal, so that the whole pool changes level together rather than a wave travelling through it. There is no translation to speak of; the storage change is a horizontal slice across the surface area, and the outflow at any moment is fixed by the level alone. Every level-pool routing computation is a description of reservoir fluctuation.
The impact of a uniformly progressive wave on reservoir storage is the point of the question, and it is the phenomenon of wedge storage. When a translatory wave enters the upper end of a reservoir or a long pool, the water surface is no longer horizontal: it is tilted upward towards the inflow, because the wave has arrived there and not yet at the dam. The storage held under that tilt is a wedge, positive on the rising limb (inflow exceeds outflow, and the extra volume is stored in the sloping upper reach) and negative on the falling limb (outflow exceeds inflow, and the wedge drains out). Three consequences follow. The total storage at a given outflow is greater during the rise than during the recession, so a plot of storage against outflow traces a loop rather than a curve, and the level-pool assumption $S = f(O)$ is violated. The peak level at the upstream end of the pool is higher than the level-pool computation predicts, which matters for backwater flooding and for freeboard on upstream dykes. And because part of the flood volume is temporarily stored in the wedge rather than passed to the outlets, the outflow peak is further delayed — a real attenuation, but one that a level-pool routing attributes to the wrong mechanism. Where the wedge is significant, the reach must be routed as a channel (Muskingum, or a full dynamic model) up to the point where the pool is genuinely horizontal, and level-pool routing applied only from there.
Given. Every hydrologic routing method — Muskingum, level-pool, Puls — rests on the same conservation statement, and the illustrative routing interval below uses the solver's own representative numbers to show how the mean outflow is extracted from it.
| Quantity | Symbol | Value |
|---|---|---|
| Inflow at start and end of the period | I1, I2 | 12.0, 18.0 m3/s |
| Outflow at start of the period | O1 | 8.0 m3/s |
| Routing period | Δt | 2 h = 7200 s |
| Storage gain over the period (from the storage curve) | ΔS | +36 000 m3 |
Find. The equation form of the law of continuity, and the mean and end-of-period outflow it predicts for the tabulated interval.
Approach. Write continuity in differential form, integrate it over the routing period with the trapezoidal rule, and rearrange for the mean outflow.
| Quantity | Value |
|---|---|
| Continuity, differential form | I − O = dS/dt |
| Continuity, routing form | [(I1+I2)/2 − (O1+O2)/2] Δt = ΔS |
| Mean inflow over the period | 15.0 m3/s |
| Rate of storage gain | 5.0 m3/s |
| Mean outflow during the period | 10.0 m3/s |
| Outflow at end of period, O2 | 12.0 m3/s |