16-Civ-B4 Engineering Hydrology · May 2017
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Paper format. 16-Civ-B4 Engineering Hydrology, National Exams May 2017. Three hours, CLOSED BOOK with one two-sided candidate-prepared aid sheet and an approved Casio or Sharp calculator. Seven Problems are printed; any five constitute a complete paper and only the first five answers in the work book are marked. Each Problem is worth twenty (20) marks for a total of 100, and the page-1 Marking Scheme gives the sub-part split for all seven — Problems 1 and 7 at (6)(6)(8), Problem 2 at (10)(10), Problem 3 at (7)(5)(8), Problem 4 at (8)(6)(6), and Problems 5 and 6 at (7)(7)(6). 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 the callout below. All seven Problems are worked here, because this set is a study resource rather than a timed sitting. Five of the seven are pure discussion; the numerical content sits in Problem 2(ii) and Problem 7(i), with short illustrative calculations added elsewhere so that each method is shown working on real numbers.
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, 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 7(i) cannot be solved as printed. A basin of 10 000 km² draining at 2200 m³/s sheds a runoff depth of 6937.92 mm in a year, which is 115.6 times the 60 mm of rain the question supplies. The water balance then returns a large negative evapotranspiration, which is physically impossible. The runoff depth follows from the area and the discharge alone and is not open to interpretation, so the printed precipitation is the term in error. The answer boxes the runoff depth from the printed data, demonstrates that the balance cannot close, and then adopts a declared corrected precipitation under Note 1. Two admissible repairs are carried through with numbers so the assumption is auditable.
(2) Problem 2(ii) gives the IDF relation without units on the intensity. The relation i = 7.0 − 0.2t is read here in mm/h, which is the Canadian convention for IDF work; the alternative in/h reading is carried through as a one-line sensitivity, and it produces a peak flow 25.4 times larger that no 10 ha suburban storm sewer would ever be sized for.
(3) Problems 1, 3, 4, 5 and 6 are discussion questions with no data of their own. Where a numerical illustration makes the method concrete, the input values are the solver's own representative figures and are labelled as such. Every number in those illustrations, 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.
Given. The annual water balance of one large drainage basin, with the three quantities the question supplies collected below.
| Quantity | Symbol | Value as printed |
|---|---|---|
| Watershed surface (drainage) area | A | 10 000 km² = 1.0 × 1010 m² |
| Annual precipitation depth | P | 60 mm |
| Annual mean discharge of the draining river | Q | 2200 m³/s |
| Averaging period | t | 1 year = 31 536 000 s |
Find. The annual evapotranspiration ET = E + T from the watershed, in mm, using the basic equation of hydrology, with all assumptions stated and justified.
Approach. Reduce the BEH to a residual for ET by justifying the neglect of the storage and net groundwater terms over an annual period, convert the river discharge into an equivalent depth over the drainage area so that all terms share units, then close the balance — and test whether the closure is physically admissible before reporting it.
Check — the source data for this question cannot be solved as printed. 10 000 km² draining at 2200 m³/s yields a runoff depth of 6937.9 mm/a against a printed rainfall of 60 mm/a, so the balance returns −6877.9 mm/a of evapotranspiration. The runoff depth is boxed because it follows from area and discharge alone and is not in doubt. The reported ET of 462.1 mm/a rests on the declared correction P = 7400 mm/a (Reading A); the alternative Reading B gives 306.2 mm/a. In an examination, state the inconsistency, state which term must be wrong and why, and solve with a declared value — do not report a negative evapotranspiration.
| Quantity | Symbol | Value |
|---|---|---|
| Annual runoff volume (printed data) | VR | 6.938 × 1010 m³ |
| Annual runoff depth (printed data) | R | 6937.9 mm/a |
| Specific discharge | q | 220 L/s/km² |
| ET from the printed data (inadmissible) | ET | −6877.9 mm/a |
| Declared corrected precipitation (Reading A) | P | 7400 mm/a |
| Evapotranspiration, Reading A | ET | 462.1 mm/a (1.27 mm/d) |
| Runoff coefficient, Reading A | R/P | 0.938 |
| Evapotranspiration, Reading B (Q = 220 m³/s, P = 1000 mm/a) | ET | 306.2 mm/a |
| Runoff coefficient, Reading B | R/P | 0.694 |
The water cycle is driven by energy, and the same budget that governs evaporation governs the planet's temperature. Written for a surface, the energy budget equation is
$$R_n = H + \lambda E + G_s + \Delta S_e$$
where $R_n$ is net radiation, $H$ the sensible heat flux into the air, $\lambda E$ the latent heat flux carried away by evaporating water ($\lambda\approx 2.45$ MJ/kg at 20 °C), $G_s$ the conduction into the ground and $\Delta S_e$ the change in heat storage. Net radiation is itself the difference between absorbed shortwave and net longwave, $R_n=(1-\alpha)R_s+R_{ld}-R_{lu}$.
Why a global radiative balance exists. The Earth has only one significant energy input, solar shortwave radiation, and only one significant output, longwave radiation to space. If the outgoing flux were smaller than the incoming, the planet would warm; a warmer body radiates more, by the Stefan-Boltzmann law $E=\sigma T^{4}$, so the outgoing flux would rise until it matched the input again. The balance is therefore not a coincidence but a stable equilibrium enforced by the strong temperature dependence of emission. Averaged over the globe and over a year, the top-of-atmosphere budget is $$\frac{S_0}{4}(1-\alpha)=\sigma T_e^{4}$$ where $S_0=1361$ W/m² is the solar constant, the factor of four converts the intercepting disc into the emitting sphere, and $\alpha\approx 0.30$ is the planetary albedo. The absorbed flux is $340.25(0.70)=238.2$ W/m², so the effective radiating temperature is $$T_e=\left(\frac{238.2}{5.67\times10^{-8}}\right)^{1/4}=\boxed{254.6\ \text{K}=-18.6\ {}^{\circ}\text{C}}$$
Why the surface is warmer than that — the greenhouse effect. The observed global mean surface temperature is about 288 K (15 °C), which is 33.4 K warmer than the effective radiating temperature just computed. The difference is the greenhouse effect. The atmosphere is largely transparent to incoming shortwave radiation, which passes through to be absorbed at the surface, but it is strongly absorbing in the thermal infrared because water vapour, carbon dioxide, methane and the other polyatomic trace gases have vibrational and rotational transitions at those wavelengths. The surface therefore radiates upward into a partially opaque atmosphere; the atmosphere absorbs that radiation and re-emits it both up and down, and the downward component ($R_{ld}$ in the budget above) is an additional energy input to the surface. Equilibrium at the top of the atmosphere is still satisfied at 254.6 K, but that emission now comes on average from an altitude of roughly 5 km rather than from the ground; because temperature falls with height along the lapse rate, the surface beneath must be correspondingly warmer. Increasing the concentration of an absorbing gas raises the effective emission altitude, and the surface warms further to restore the balance.
Where latent heat and differential solar heating come in. The radiative balance holds globally, but not locally, and that is what drives the circulation of both atmosphere and water. Because the Earth is a sphere, low latitudes receive solar radiation at near-normal incidence and absorb far more than they emit, while high latitudes receive it at a glancing angle, are more reflective, and emit more than they absorb. This differential solar heating creates a persistent equator-to-pole energy surplus and deficit, and the atmosphere and oceans transport energy poleward to close the gap. A large share of that transport is carried as latent heat: the $\lambda E$ term removes energy from the tropical ocean surface as water evaporates, the vapour is advected poleward and upward, and the energy is released as sensible heat wherever the vapour condenses. Condensation is thus the mechanism that couples the water cycle to the energy cycle, and it is why the same budget that predicts evaporation also predicts precipitation. Two further consequences follow directly. First, latent heat is the reason evaporation is self-limiting: the $\lambda E$ term competes with $H$ for the same net radiation, so a wet surface stays cool and a dry one heats up. Second, water vapour is itself the strongest greenhouse gas, and because a warmer atmosphere holds more of it (Clausius-Clapeyron, roughly 7 per cent per kelvin), the water cycle supplies the dominant positive feedback on any radiative forcing — which is why hydrology and climate cannot be treated as separate subjects.
A potential infiltration simulation approach. Three levels of model are available, and the choice is a trade-off between physical fidelity and the data the site can support. The most rigorous is a numerical solution of the Richards equation, which is Darcy's law combined with continuity for unsaturated flow,
$$\frac{\partial \theta}{\partial t} =\frac{\partial}{\partial z}\left[K(\theta)\left(\frac{\partial \psi}{\partial z}+1\right)\right]$$
with $\theta$ the volumetric water content, $\psi$ the matric suction and $K(\theta)$ the unsaturated hydraulic conductivity described by a van Genuchten or Brooks-Corey relation. Solved numerically with a ponded upper boundary, it reproduces the whole profile drawn in the figure. It also demands soil hydraulic characterisation that is rarely available for a drainage design.
The practical middle course, and the one recommended here, is the Green-Ampt model, which idealises the profile as a sharp wetting front separating saturated soil above from soil at initial moisture below — a deliberate simplification of exactly the figure shown. Applying Darcy's law across the wetted depth $L$ under a ponded head $h_0$ and a suction head $\psi_f$ at the front gives the infiltration rate
$$f=K\,\frac{h_0+L+\psi_f}{L}, \qquad\text{with cumulative infiltration } F=K t+\psi_f\,\Delta\theta\,\ln\!\left(1+\frac{F}{\psi_f\,\Delta\theta}\right)$$
solved iteratively at each time step, where $\Delta\theta=\theta_s-\theta_i$ is the moisture deficit. Its three parameters — saturated conductivity, wetting-front suction and initial moisture deficit — are all tabulated by soil texture, which is why it is the model embedded in HEC-HMS, SWMM and most Canadian municipal practice. The simplest level is the empirical Horton equation,
$$f(t)=f_c+(f_0-f_c)\,e^{-kt}, \qquad F(t)=f_c t+\frac{f_0-f_c}{k}\bigl(1-e^{-kt}\bigr)$$
which fits the observed decay of infiltration capacity without representing the profile at all. For a silt loam with $f_0=75$ mm/h, $f_c=12$ mm/h and $k=2.5$ h−1, one hour of ponding gives
$$f(1\ \text{h})=12+63e^{-2.5}=\boxed{17.2\ \text{mm/h}}, \qquad F(1\ \text{h})=12+\frac{63}{2.5}\bigl(1-e^{-2.5}\bigr)=35.1\ \text{mm}$$
The essential point common to all three is that under ponded conditions the soil, not the rainfall, controls the rate: infiltration proceeds at the capacity, which starts high, decays as the profile wets and the suction gradient weakens, and approaches the saturated hydraulic conductivity asymptotically.
Two characteristics of the Saturation Zone. (1) It is a thin layer — typically only a centimetre or two — immediately beneath the ponded surface in which the water content is at or extremely close to the saturated value $\theta_s$, so essentially all pore space is water-filled and the hydraulic conductivity is at its saturated maximum $K_s$. (2) Its thickness barely grows as infiltration continues; it remains shallow while the wetted profile below it deepens, and because it is saturated the pressure head within it is positive and equal to the ponded depth, so it transmits the ponded head downward almost without loss. It is also the zone in which surface sealing, crusting and entrapped air have their effect, all of which reduce the effective $K_s$ and therefore the whole infiltration rate.
Two characteristics of the Transition Zone. (1) It is the region of steep gradient immediately below the saturation zone, across which the water content falls rapidly from $\theta_s$ to the nearly uniform value that characterises the transmission zone below — it is, in the figure, the short reach where the profile curve bends away from the saturation line. (2) Like the saturation zone it stays thin and roughly constant in thickness as infiltration proceeds; it simply translates downward with the wetted front while the transmission zone lengthens. Because $\theta$ falls through it, the unsaturated conductivity $K(\theta)$ falls sharply through it as well, so it is the layer across which the largest part of the resistance to flow near the surface is concentrated. Together the two zones occupy only a small fraction of the wetted depth, which is precisely the observation that justifies the Green-Ampt idealisation of a single sharp front.
| Quantity | Symbol | Value |
|---|---|---|
| Absorbed solar flux, global mean | S₀(1−α)/4 | 238.2 W/m² |
| Effective radiating temperature | Te | 254.6 K (−18.6 °C) |
| Observed mean surface temperature | Ts | 288 K (15 °C) |
| Greenhouse warming | Ts − Te | 33.4 K |
| Horton infiltration capacity after 1 h (illustrative) | f(1 h) | 17.2 mm/h |
| Horton cumulative infiltration after 1 h | F(1 h) | 35.1 mm |