Exercise set

Environmental Impact Assessment, Permitting, and Compliance Engineering Exercises

Worked environmental engineering exercises for impact assessment and compliance covering emissions load, discharge limits, control efficiency, stormwater capacity, monitoring uncertainty, permit averages, waste classification, RPN, and corrective-action closeout.

These exercises practise first-pass calculations used in environmental impact assessment, permitting, and compliance engineering. They connect loads, limits, mitigation, monitoring quality, uncertainty, operating records, waste classification, risk controls, and corrective-action closeout.

Assume simplified nominal values unless an exercise states otherwise. Real compliance decisions depend on jurisdiction-specific permits, approved methods, averaging rules, detection limits, quality assurance, operating context, reporting duties, and responsible professional review.

How to Use These Exercises

For each problem:

  1. define the activity, receptor, pathway, and permit condition;
  2. state the averaging period and unit basis;
  3. calculate load, concentration, control efficiency, or evidence completeness;
  4. separate compliance status from engineering risk;
  5. state the corrective action or record needed to close the decision.

The most common mistake is treating compliance as paperwork after design. Compliance engineering is a control system: assumptions, limits, monitoring, maintenance, alarms, records, and corrective actions must align.

For each result, state whether it supports impact significance, permit compliance, mitigation sizing, monitoring adequacy, waste classification, engineered control credit, or corrective-action closeout. A calculation should cite the condition, averaging basis, and evidence record it depends on.

Exercise 1: Stack Emission Mass Rate

A ventilation stack discharges Q=4.5\ \text{m}^3/\text{s} with measured contaminant concentration C=38\ \text{mg/m}^3.

Estimate the emission mass rate in \text{g/s} and \text{kg/h}.

Solution

Mass rate:

\dot M=QC
\dot M=4.5(38)=171\ \text{mg/s}

Convert to grams per second:

171\ \text{mg/s}=0.171\ \text{g/s}

Convert to kilograms per hour:

0.171(3600)=615.6\ \text{g/h}=0.616\ \text{kg/h}

Engineering Comment

The number is useful only if the concentration basis, temperature correction, moisture basis, stack flow measurement, sampling method, and averaging period match the permit or assessment method.

Exercise 2: Discharge Load Against a Permit Limit

A permitted discharge has daily flow Q=900\ \text{m}^3/\text{day} and pollutant concentration C=12\ \text{mg/L}. The daily mass limit is 15\ \text{kg/day}.

Check the daily pollutant load.

Solution

Convert concentration:

12\ \text{mg/L}=0.012\ \text{kg/m}^3

Daily load:

M=QC
M=900(0.012)=10.8\ \text{kg/day}

Since:

10.8<15

the calculated daily load is below the mass limit.

Engineering Comment

The compliance conclusion still depends on sampling representativeness, flow meter accuracy, reporting rules, detection limits, bypasses, and whether concentration limits also apply.

Exercise 3: Control Efficiency and Residual Dust

An uncontrolled material handling operation would emit 14\ \text{kg/day} of dust. A control system has expected removal efficiency \eta=92\%.

Estimate residual emissions after control.

Solution

Residual fraction:

1-\eta=1-0.92=0.08

Residual emissions:

M_{res}=14(0.08)=1.12\ \text{kg/day}

Engineering Comment

The control is only credible if it can be operated and inspected. Water supply, enclosure condition, filter differential pressure, operator procedure, wind exposure, housekeeping, and maintenance records determine whether the assumed efficiency is real.

Exercise 4: Stormwater Mitigation Capacity

A construction-phase storm is estimated to generate 920\ \text{m}^3 of runoff requiring sediment control. The temporary basin has available operating volume 750\ \text{m}^3.

Find the storage deficit.

Solution

Storage deficit:

D=920-750=170\ \text{m}^3

Engineering Comment

The mitigation is undersized for the assumed event. Options include reducing exposed area, adding temporary storage, improving diversion of clean water, staging earthworks, increasing maintenance, or revising the storm response plan.

Exercise 5: Monitoring Signal-to-Noise

A monitoring plan expects a mitigation measure to reduce a water-quality indicator by 6\ \text{mg/L}. Method uncertainty is 2\ \text{mg/L} and natural baseline variability is estimated as 3\ \text{mg/L}.

Estimate total uncertainty using root-sum-square and calculate a signal-to-noise ratio.

Solution

Total uncertainty scale:

u=\sqrt{2^2+3^2}=3.61\ \text{mg/L}

Signal-to-noise ratio:

\displaystyle SNR=\frac{6}{3.61}=1.66

Engineering Comment

The monitoring plan may struggle to prove the expected improvement. The team may need more samples, better locations, longer baseline, lower-uncertainty methods, or a stronger performance indicator.

Exercise 6: Permit Average and Daily Exceedance

Five daily emission results are:

44,\ 47,\ 52,\ 49,\ 46\ \text{kg/day}

The five-day average limit is 50\ \text{kg/day}. Calculate the average. Then identify the issue if the permit also has a daily maximum of 50\ \text{kg/day}.

Solution

Average:

\displaystyle \bar M=\frac{44+47+52+49+46}{5}=47.6\ \text{kg/day}

The five-day average is below:

47.6<50

However, one daily value is:

52>50

so a daily maximum limit would be exceeded.

Engineering Comment

Compliance depends on the exact permit condition. A result can pass one averaging basis and fail another. Reporting systems must preserve raw values, averages, units, timestamps, and operating context.

Exercise 7: Waste Classification Split

A maintenance outage generates 18\ \text{t} of waste. Sampling and classification identify 4.5\ \text{t} as hazardous waste and the remainder as non-hazardous controlled waste.

Find the hazardous fraction.

Solution

Hazardous fraction:

\displaystyle f_h=\frac{4.5}{18}=0.25=25\%

Non-hazardous amount:

18-4.5=13.5\ \text{t}

Engineering Comment

The engineering action is not only arithmetic. Hazardous waste requires segregation, labeling, storage time control, manifests, compatible containers, licensed transport, disposal route, and closeout records.

Exercise 8: Bypass Valve Failure RPN

A compliance review identifies failure mode “bypass valve left open after maintenance.” Initial scores are:

S=8,\quad O=4,\quad D=5

An interlock and operator verification step reduce occurrence to O=2 and detection to D=2.

Find the initial and revised risk priority numbers.

Solution

Initial:

RPN_1=SOD=8(4)(5)=160

Revised:

RPN_2=8(2)(2)=32

Reduction:

\displaystyle \frac{160-32}{160}\times100=80\%

Engineering Comment

The reduction is meaningful only if the interlock is tested, the verification step is recorded, and bypass status is visible to operations. A paper procedure alone is not an engineered control.

Exercise 9: Corrective-Action Closeout

An exceedance closeout package requires nine evidence items. Seven are accepted, one calibration record is missing, and one follow-up sample is pending.

Find the accepted-evidence percentage and unresolved item count.

Solution

Accepted-evidence percentage:

\displaystyle C_e=\frac{7}{9}\times100=77.8\%

Unresolved items:

N_u=1+1=2

Engineering Comment

The corrective action should not be closed. Missing calibration evidence can undermine the original result, and pending follow-up sampling means performance after correction has not yet been verified.

Exercise 10: Mitigation Energy Penalty

An emissions control fan requires 18\ \text{kW} during operation. It runs 10\ \text{h/day} for 300 operating days per year.

Estimate annual energy use.

Solution

Daily energy:

E_d=18(10)=180\ \text{kWh/day}

Annual energy:

E_y=180(300)=54{,}000\ \text{kWh/year}

Engineering Comment

Environmental controls can shift impacts. A mitigation measure may reduce air emissions while increasing energy demand, maintenance, noise, waste filters, or reliability requirements. Assessment should account for important secondary effects.

Review Checklist

Before accepting an impact or compliance calculation, check:

  • whether the permit condition, averaging period, and unit basis are explicit;
  • whether concentration data are paired with flow or activity data when load matters;
  • whether mitigation efficiency is supported by inspection and maintenance evidence;
  • whether monitoring can detect the expected change above noise and uncertainty;
  • whether compliance records preserve raw data, calculations, calibration, and context;
  • whether waste, water, air, land, and energy interfaces are checked together;
  • whether RPN reductions correspond to real engineered controls;
  • whether secondary impacts such as energy use, water demand, noise, waste filters, traffic, or maintenance risk change the mitigation decision;
  • whether unresolved evidence affects compliance status, root-cause confidence, or restored-performance proof;
  • whether corrective actions remain open until cause and performance are both verified.

Good compliance engineering turns environmental commitments into measurable controls that can be operated, audited, corrected, and improved.

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See also