18-Env-A2 Hydrology and Municipal Hydraulics Engineering · May 2016
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
National Exams — May 2016 — 04-Env-A2 / Hydrology and Municipal Hydraulics Engineering. 3 hours duration; closed book with a candidate-prepared 8½×11 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 and water-distribution chapters; Metcalf & Eddy, Wastewater Engineering: Treatment and Resource Recovery (5th ed.) — sanitary sewer collection systems; MWH’s Water Treatment: Principles and Design (3rd ed.) — pipe-network analysis and pump selection; Chow, Open-Channel Hydraulics — Manning's n tables, specific-energy and sediment-transport theory; Linsley, Hydrology for Engineers — hydrologic cycle, hydrograph analysis and IDF curves; Walski, Advanced Water Distribution Modeling and Management — Hardy-Cross network solutions and pump affinity laws.
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 — physical basis. A process-based (physically-based/deterministic) model represents the actual mechanics of rainfall-runoff transformation — interception, infiltration, overland and channel routing — through governing physical equations (e.g., Green–Ampt infiltration, the kinematic-wave or St. Venant equations), so its parameters are physically measurable quantities (soil type, land cover, slope, channel geometry). A stochastic conceptual model instead treats runoff generation as a statistical/black-box transfer function fitted directly to an observed rainfall-runoff time series (e.g., an autoregressive or unit-hydrograph-by-regression model), without explicitly representing the physical mechanism.
Difference 2 — data and transferability. A process-based model needs detailed spatial data (DEM, soils, land-use) but, because its parameters are physical, it can in principle be applied at an ungauged site by transferring parameters from a similar watershed. A stochastic model needs a long, good-quality gauged historical record to calibrate its statistical coefficients and is essentially an interpolation/extrapolation tool — its fitted coefficients are not physically transferable to a different catchment.
When each is preferred. Process-based models are preferred for design at ungauged or changing watersheds — e.g. sizing new storm infrastructure for a watershed undergoing urbanization, where historical statistics no longer apply and the engineer must test physical "what-if" land-use or LID scenarios. Stochastic conceptual models are preferred for statistical flood/drought forecasting or real-time flow forecasting at a site with a long gauged record, where a fast, well-calibrated empirical model outperforms the effort of building and calibrating a full physical model.
Given.
| Quantity | Symbol | Value |
|---|---|---|
| Pipe length | $L$ | 800 m |
| Pipe diameter | $d$ | 300 mm |
| Full flow rate | $Q$ | 500 L/s |
| Material | — | PVC |
Find. (a) $V$; (b) $Re$ and flow type; (c) $H_f$.
Approach. Continuity gives $V=Q/A$; classify the flow with $Re=Vd/\nu$; compute the Darcy–Weisbach friction loss $H_f=f(L/d)(V^2/2g)$ with $f$ from the explicit Swamee–Jain approximation to Colebrook.
| Quantity | Value |
|---|---|
| Velocity, $V$ | 7.07 m/s |
| Reynolds number, $Re$ | 2.12×10&sup6; — turbulent |
| Friction factor, $f$ | 0.0105 |
| Friction loss, $H_f$ | 71.2 m |
Scenario 1 — back-siphonage at an unprotected fill connection. A garden hose or fill line is left submerged in a chemical tank, cooling tower or pool while the potable main upstream experiences a transient negative pressure (hydrant flushing, a water-main break, or an upstream pump shutdown); the drop in main pressure can literally siphon the tank's contaminated water backward into the distribution system through the open connection. Prevention: an atmospheric vacuum breaker (AVB) or reduced-pressure-zone (RPZ) backflow-prevention assembly — or simply a physical air gap — at every such fixture, with submerged inlets prohibited by the plumbing code.
Scenario 2 — an unprotected auxiliary-supply interconnection. An industrial or irrigation facility ties its potable main directly to a non-potable well, reclaimed-water or fire-protection loop for supply redundancy without an approved backflow preventer at the tie-in; if the potable side loses pressure while the non-potable side stays pressurized (backpressure), contaminated water is pushed into the drinking-water system. Prevention: a mandatory RPZ assembly (and ideally full physical separation, with no direct interconnection) at every auxiliary-supply tie-in, verified through the purveyor's annual cross-connection-control inspection and testing program.