IA idea · Differential equations & dynamics
How long would a lake take to flush out a pollutant?
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
- Derive dC/dt = −(Q/V)C for a clean inflow.
- Solve and interpret Q/V as a flushing rate.
- Apply to two lakes with different volumes.
- Extend to a continuing pollutant inflow.
- 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.
Turn this idea into your IA
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