IA idea · Differential equations & dynamics

How long would a lake take to flush out a pollutant?

AA HLAI HL Solid Also in: Environment

Research question

Using a mixing differential equation with a lake's published volume and outflow, how long would it take for a pollutant's concentration to fall to 5% of its initial level, and how sensitive is that to the well-mixed assumption?

Adapt it: change the place, the data or the comparison until the question is yours.

Why it makes a good exploration

Environmental agencies use exactly this model to estimate recovery times after spills. Applying it to a real lake links a standard HL differential equation to a real decision.

The mathematics you'll need

  • Rate in − rate out modelling
  • First-order linear DE and its exponential solution
  • Half-life and time to 5%
  • Comparing continuous and discrete (Euler) solutions

Course labels show where a technique sits; using maths from outside your course is fine if you explain it clearly and say it is new to you.

Where the data comes from

Find a lake's volume and outflow rate from a published source (national water agency or encyclopaedia) and cite it.

  • OpenStreetMap — Free map with exact coordinates of schools, hospitals, shops and stations; export or read off coordinates.

Cite every source in a footnote where you use it and in your bibliography. Check the licence of any dataset you download.

A possible outline

  1. Derive dC/dt = −(Q/V)C for a clean inflow.
  2. Solve and interpret Q/V as a flushing rate.
  3. Apply to two lakes with different volumes.
  4. Extend to a continuing pollutant inflow.
  5. Reflect on stratification and incomplete mixing.

Pitfalls that cost marks

  • Unit errors between m³/s and km³.
  • Treating a huge lake as well mixed without comment.
  • Unsourced volume and flow figures.

Showing personal engagement

  • Choose a lake near you or one with a real pollution history.
  • Compare the model with a real recovery reported in the news.
  • Design a two-basin model and compare.

See Criterion C: personal engagement for what examiners look for.

Taking it further

Model a lake that receives a seasonal inflow (sinusoidal Q) and solve numerically.

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