18-Env-A2 Hydrology and Municipal Hydraulics Engineering · December 2019
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
National Exams — December 2019 — 18-Env-A2 / Hydrology and Municipal Hydraulics Engineering. 3 hours duration; closed book with an 8.5×11 in double-sided aid sheet; Casio or Sharp approved calculator only. Any five questions constitute a complete paper (only the first five answers in the work book are marked); all seven Problems are solved below for completeness. Each question is worth 20 marks.
Reference texts. Linsley, Kohler & Paulhus, Hydrology for Engineers (3rd ed.); Chow, Open-Channel Hydraulics; Walski et al., Advanced Water Distribution Modeling and Management; Metcalf & Eddy, Wastewater Engineering: Treatment and Resource Recovery (5th ed.); Davis & Cornwell, Introduction to Environmental Engineering (6th ed.); Guidelines for Canadian Drinking Water Quality (Health Canada); Canadian Council of Ministers of the Environment (CCME) water-quality guidelines.
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.
Precipitation. This is the most direct predictor: increasing precipitation depth and/or intensity increases both the volume and peak of streamflow (more rainfall/snowmelt input to the water balance, $P=ET+Q+\Delta S$), so a reasonableness test simply checks that predicted streamflow trends track observed precipitation trends in sign and rough magnitude — a model predicting rising streamflow in a region with declining precipitation would fail this basic check unless another predictor (e.g., glacier/snowpack melt) explains the discrepancy.
Antecedent wetness. Wetter antecedent soil moisture reduces the infiltration capacity available at the start of a storm, converting a larger fraction of subsequent rainfall directly to runoff (saturation-excess mechanism) — so a model should predict higher streamflow response for the same rainfall input when antecedent wetness is high, and a reasonableness test compares predicted flow response for similar-sized storms under wet versus dry antecedent conditions; a model insensitive to antecedent wetness is missing a first-order control on runoff generation.
Population density (urbanization). Higher population density is typically associated with greater impervious cover (roads, roofs, parking) and piped drainage, which reduces infiltration and shortens time of concentration — so a model should predict higher, "flashier" peak flows (higher peak, shorter time-to-peak) for otherwise-similar storms in more densely populated/urbanized sub-basins; a reasonableness check compares the predicted hydrograph shape (not just volume) between urbanizing and rural sub-catchments, since urbanization's main signature is a sharper, earlier peak rather than simply more total runoff.
(Temperature and agriculture are the remaining two predictors; a full reasonableness test would similarly confirm temperature's role via evapotranspiration/snowmelt rate and agriculture's role via altered infiltration/soil compaction and tile drainage, but the analysis above satisfies "any three" as requested.)
Given.
| Quantity | Value |
|---|---|
| Normal depth, $y$ | 2.0 m |
| Base width, $b$ | 7 m |
| Side slope (H:V) | 1:3, i.e. $z=1/3$ |
| Bed slope, $S_o$ | 4% = 0.04 |
| Manning's $n$ (short, well-maintained grass) | 0.035 |
Find. (a) Discharge $Q$ in m³/min; (b) Reynolds number and flow type.
Approach. Trapezoidal geometry gives $A$, $P$, $R$; Manning's equation gives $Q$; open-channel $Re$ uses the hydraulic radius, $Re=VR/\nu$.
| Quantity | Value |
|---|---|
| Flow area, $A$ | 15.33 m² |
| Hydraulic radius, $R$ | 1.367 m |
| Discharge, $Q$ | 107.9 m³/s = 6475 m³/min |
| Reynolds number, $Re$ | 9.62×10&sup6; (turbulent) |
Given. $Q=60\ \text{m}^3/\text{s}$, $Y_1=2.0$ m, bed rise $\Delta z=0.7$ m, same trapezoidal section ($b=7$ m, $z=1/3$); frictional losses negligible.
Find. Depth $Y_2$ at the raised section.
Approach. With no friction loss, specific energy referenced to the local bed falls by exactly $\Delta z$ across the rise, $E_2=E_1-\Delta z$. Before solving for $Y_2$, the crossing must be checked against the minimum specific energy (critical-flow) condition — if $\Delta z$ exceeds the available margin $E_1-E_{\min}$, no subcritical $Y_2$ exists and the crossing is choked.
| Quantity | Value |
|---|---|
| Specific energy at Section 1 (at stated $Y_1=2.0$ m), $E_1$ | 2.780 m |
| Critical depth for $Q=60$ m³/s, $Y_c$ | 1.897 m |
| Available margin, $E_1-E_{\min}$ | 0.008 m (<< $\Delta z=0.7$ m → choked) |
| Depth at the raised section, $Y_2$ | 1.897 m (= $Y_c$) |
| Required upstream depth to actually clear the hump, $Y_1'$ | 3.196 m |