18-Env-B5 Industrial & Hazardous Waste Management · May 2014
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Reference texts: Nemerow & Dasgupta, Industrial and Hazardous Waste Treatment, 2nd ed.; Metcalf & Eddy, Wastewater Engineering: Treatment and Resource Recovery, 5th ed.; Davis & Cornwell, Introduction to Environmental Engineering, 6th ed.; LaGrega, Buckingham & Evans, Hazardous Waste Management, 2nd ed.; CCME, Guidelines for the Management of Biomedical Waste in Canada (1992); Canadian Environmental Protection Act (CEPA), 1999; provincial Environmental Protection / Hazardous Waste Regulations (e.g. BC's Hazardous Waste Regulation, O.Reg. 347 in Ontario).
All eighteen questions are compulsory on this paper and are answered in full below.
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.
With no on-site data available (the plant does not yet exist), the estimate has to be built up from external and process-engineering sources rather than measurement, in a defensible, converging sequence. (1) Consult published unit-loading factors and industry-specific literature for the same or a closely analogous manufacturing process (Nemerow & Dasgupta-type industrial-waste-characterization tables, EPA/Environment Canada industry effluent guidelines, or trade-association data), expressed as waste mass or volume per unit of production (e.g. L wastewater or kg BOD5 per tonne or per unit of product) — this gives a first-order estimate from comparable existing operations. (2) Obtain the process design from the plant's own engineers/vendors — the process flow diagram, the material and water balance for the proposed process, raw-material specifications and equipment vendor data (e.g. rinse-water flow rates for a plating line, cooling-water blowdown rates, cleaning/wash-down schedules) — since a widget-manufacturing process is specific enough that generic literature factors alone are unlikely to be precise. (3) Survey comparable existing plants, ideally sister facilities of the same company or industry-association members using a similar process, and if possible conduct or obtain their own waste-survey/monitoring data (flow, BOD, TSS, metals) to calibrate the literature/design estimate against real operating data. (4) Run bench- or pilot-scale process trials where the specific process chemistry is novel or the waste characteristics are uncertain, to directly measure representative waste streams before the full plant is built. (5) Build a mass balance around the proposed process (raw material inputs, product outputs, water inputs) to internally check that the estimated waste generation rate is consistent with basic conservation of mass, which is the same cross-check used in an as-built industrial waste survey (Question 6) and catches gross errors in any of the above estimates before they are locked into the treatment-plant design. Because every one of these sources carries real uncertainty, the resulting waste-generation-rate estimate should be conservative (sized with an appropriate margin/factor of safety) and explicitly flagged for verification once the plant is operating and actual flow and load data become available — the treatment facility's design should retain flexibility (e.g. modular/expandable capacity) to accommodate that eventual correction.