23-Chem-B2 Environmental Engineering · Undated paper
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
National Exam 16-Chem-B2, Environmental Engineering — May 2019. 3 hours, Closed-Book Exam with a candidate-prepared 8½×11" double-sided aid sheet. Any five (5) of the seven questions constitute a complete paper (100 marks); all seven are solved below for completeness.
Reference texts: Metcalf & Eddy (Tchobanoglous, Burton, Stensel), Wastewater Engineering: Treatment and Reuse, 4th ed.; Davis & Cornwell, Introduction to Environmental Engineering, 5th ed.; Turner, Workbook of Atmospheric Dispersion Estimates, 2nd ed.; Cooper & Alley, Air Pollution Control: A Design Approach, 4th ed.
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.
| Quantity | Value |
|---|---|
| SO₂ emission rate, Q | 200 g/s |
| Stack height, H | 100 m |
| Wind speed, u | 7 m/s |
| Receptor offset, y, z | 0 m, 0 m (centerline, ground level) |
| Downwind distance, x | 3,000 m |
Find. Ground-level centerline SO₂ concentration C(x,0,0,H) at x=3,000 m.
Approach. The steady-state Gaussian plume equation at ground level (z=0) on the plume centerline (y=0) reduces to a 1-D exponential in H/σz, once σy and σz are evaluated at the target downwind distance for the selected stability class.
These give C ≈ 241 µg/m³, about 11% below the chart-based value. That is within the usual spread between the Pasquill–Gifford charts and the Briggs fits, so the answer is taken as C ≈ 270 µg/m³ (a range of roughly 240–285 µg/m³ covers both methods and the chart-reading uncertainty).
| Quantity | Value |
|---|---|
| Stability class | D (>6 m/s, slight insolation one hour after sunrise) |
| σy(3,000 m), exam chart | ≈175 m (Briggs: 210.5 m) |
| σz(3,000 m), exam chart | ≈71 m (Briggs: 76.75 m) |
| C(3,000 m, ground level, centerline) | ≈271 µg/m³ (Briggs cross-check: 241 µg/m³) |
| Measure | How it reduces ground-level C | Carbon-footprint comparison |
|---|---|---|
| Taller stack | Increases effective stack height H, which the plume equation shows drives the exp[−½(H/σz)²] term toward zero at any fixed downwind x, lowering ground-level concentration without changing the emission rate at all. | Essentially carbon-neutral for the boiler itself (no process/fuel change), but the additional structural steel/concrete for the taller stack carries a one-time embodied-carbon cost and it does not reduce total SO₂ mass emitted — it only relocates the ground-level impact further from the source. |
| Wet limestone flue-gas desulfurization (FGD) | Removes SO₂ from the flue gas chemically before it is emitted (Q itself is reduced, often by >90%), which lowers ground-level concentration at every downwind distance proportionally. | Meaningfully reduces total SO₂ mass emitted, but the scrubber's induced-draft fans, limestone grinding/slurry pumping and reagent transport add a continuous parasitic electrical/process-carbon load to the plant, partly offsetting the environmental benefit. |
| Fuel switching (low-sulfur coal or natural gas) | Directly lowers Q at the source by reducing the sulfur content of the fuel burned, again reducing ground-level concentration proportionally at every downwind distance. | Switching to natural gas typically also lowers the plant's overall CO₂ carbon footprint (lower carbon intensity per unit energy than coal) in addition to eliminating most SO₂, making it generally the most carbon-favourable of the three options, though it may carry fuel-supply/cost constraints the other two measures do not. |
The three measures fall into two categories: the taller stack is a dispersion-management measure (it does not reduce total emitted mass, only redistributes ground-level impact, so it addresses a local exceedance without addressing regional/cumulative loading), while FGD and fuel switching are source-reduction measures that lower Q itself and are therefore effective for cumulative and regional impact, not just the local receptor; fuel switching also happens to be the only one of the three that simultaneously improves the facility's CO₂ carbon footprint rather than trading one environmental cost (embodied carbon, parasitic load) for another.