18-Env-A2 Hydrology and Municipal Hydraulics Engineering · May 2013
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
National Exams — May 2013 — 04-Env-A2 / Hydrology and Municipal Hydraulics Engineering. 3 hours duration; closed book with an 8×11 in double-sided aid sheet; Casio or Sharp approved calculator only. Any five questions constitute a complete paper (first five answers marked, 20 marks each, 100 marks total); all seven are solved below for completeness.
Reference texts. Davis & Cornwell, Introduction to Environmental Engineering (6th ed.) — hydrology, stormwater management and water-demand chapters; Metcalf & Eddy, Wastewater Engineering: Treatment and Resource Recovery (5th ed.) — sanitary sewer hydraulics; MWH’s Water Treatment: Principles and Design (3rd ed.) — distribution systems and pumping; Chow, Open-Channel Hydraulics — Manning's n tables and specific-energy theory; Chow, Maidment & Mays, Applied Hydrology — frequency analysis; Guidelines for Canadian Drinking Water Quality (Health Canada).
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.
Any closed (looped) pipe network analysis must satisfy two conditions, directly analogous to Kirchhoff's laws for electrical circuits: (1) continuity (mass conservation) at every node — the sum of flows into a junction must equal the sum of flows out, because water cannot accumulate or be created at a junction; and (2) energy conservation around every closed loop — the algebraic sum of head losses around any closed loop must equal zero (going around back to the starting point, elevation and pressure must return to their original values), because head loss is a path-independent function of pipe flow and there is only one true pressure at each node regardless of which route is used to compute it. Both conditions must hold simultaneously for every pipe in the network, which is exactly why looped-network analysis requires an iterative method (Hardy-Cross, or a modern gradient/Newton solver) rather than the simple series/parallel algebra sufficient for a single branched pipeline.
Two fundamental steps: (1) assume a trial set of pipe flows that satisfies continuity at every node (an initial guess, distributed so inflow=outflow at each junction) — this can be an arbitrary but conservative starting distribution; and (2) compute and apply a flow correction to each loop, $\Delta Q=-\dfrac{\sum h_L}{n\sum(h_L/Q)}$ (with $h_L=KQ^n$, $n\approx1.85$–2 depending on the loss formula used), iterating loop-by-loop and repeating over the whole network until the head-loss imbalance $\sum h_L$ in every loop is acceptably close to zero.
Key assumption: the head-loss exponent $n$ in $h_L=KQ^n$ is treated as constant within an iteration (e.g., $n=1.85$ for Hazen-Williams or $n=2$ for Darcy-Weisbach), which linearizes the correction formula; the method converges because this approximation is locally accurate near the true solution even though the underlying relation is nonlinear.
Practical step for full-scale application: because hand (or spreadsheet) Hardy-Cross iteration becomes impractical for a network with more than a handful of loops, real distribution-system models solve the same continuity+energy conditions with computer software (e.g., EPANET) using a gradient/Newton algorithm, and are calibrated against field-measured pressures and flows (fire-flow/hydrant tests) before being trusted for design decisions — an uncalibrated model, however elegant the solution method, does not represent the actual as-built network's roughness and minor losses.
Given. Lake-shore water treatment plant; maximum static head 100 m; maximum distribution length 5 km; centrifugal pump system to be selected.
Approach/Steps. Four key steps, worked through with the given static head and length as an illustrative example:
| Step | Key output |
|---|---|
| 1. System curve | $H_{\text{sys}}(Q)=100\ \text{m}+KQ^2$ (static + friction over 5 km) |
| 2. Design flow | town max-day demand (+ fire flow checked separately) |
| 3. Pump selection | characteristic curve ∩ system curve at BEP |
| 4. Operability/standby | N+1 standby; staged parallel pumps across demand range |