Permeable Pavement Adoption and Runoff Modeling

ISEF Category: Earth and Environmental Sciences

Subcategory: Other  ·  Difficulty: Advanced  ·  Setup: University Lab  ·  Time: Full Year

The Hook

A rebate can change what people build in their driveways. That means a policy can affect both human choices and stormwater runoff at the same time. You can model that chain from homeowner behavior to flood relief. This project sits right where people, money, and water meet.

What Is It?

This project studies a coupled human-natural system. That sounds big, but the idea is simple. People make choices, like whether to install permeable pavement. Those choices then change how rainwater moves through a neighborhood.

An agent-based model treats each homeowner like a decision-maker with its own traits, such as cost sensitivity, interest in rebates, or concern about flooding. You can think of it like a crowd simulation. Each person follows a few rules, and the whole neighborhood pattern emerges from those small choices. Then SWMM, which stands for Storm Water Management Model, estimates how much runoff the adopted pavement could reduce.

The key twist is calibration. You compare your model to real program uptake data from a city, so your simulation does not just look nice on paper. It has to match reality closely enough to be useful.

Why This Is a Good Topic

This is a strong science fair topic because you can test real policy choices, not just run a toy simulation. You can compare rebate levels, adoption patterns, and runoff outcomes with clear numbers. The project connects to flooding, urban planning, and climate resilience, so the real-world stakes are easy to explain. You also get practice with modeling, data fitting, and decision analysis, which are real research skills.

Research Questions

• How does rebate size change the predicted adoption rate of permeable pavement?
• What is the effect of homeowner cost sensitivity on neighborhood-wide adoption?
• Does including social influence between neighbors improve the fit to real city uptake data?
• To what extent do different rebate policies change peak runoff reduction in SWMM?
• Which homeowner traits most strongly predict adoption under the same policy?
• How does calibration to real uptake data change the model's policy recommendations?

Basic Materials

• Laptop or desktop computer with enough memory to run simulations.
• Spreadsheet software for organizing adoption and runoff data.
• Free programming environment such as Python or R.
• Access to a city or county rebate program dataset.
• GIS data or parcel-level neighborhood data, if available.
• Background sources on permeable pavement performance and stormwater policy.
• Notebook for model assumptions, parameter choices, and version tracking.

Advanced Materials

• University computer access or high-performance laptop for repeated simulation runs.
• Python, R, or NetLogo for agent-based modeling.
• SWMM software for hydrologic simulation.
• GIS software for mapping parcels, impervious cover, and drainage areas.
• City permit, rebate, or inspection datasets for calibration.
• Local rainfall and watershed data for runoff scenarios.
• Statistical software for parameter estimation and sensitivity analysis.

Software & Tools

• Python: Builds the agent-based model, runs simulations, and analyzes adoption patterns.
• R: Fits models, compares scenarios, and makes publication-style figures.
• NetLogo: Lets you prototype agent-based behavior with simple rules and visual output.
• EPA SWMM: Estimates how permeable pavement changes runoff and peak flow.
• QGIS: Maps parcels, neighborhoods, and drainage patterns for spatial analysis.

Experiment Steps

1. Define the decision rules that control how a homeowner adopts permeable pavement, including cost, rebate, and neighbor influence.
2. Choose the real city dataset you will use for calibration and decide which part of uptake you can measure reliably.
3. Build a baseline agent-based model and test whether it reproduces the broad shape of the real adoption curve.
4. Add policy scenarios, such as different rebate levels or outreach patterns, and compare how adoption changes.
5. Link the adoption outputs to SWMM so you can translate behavior into hydrologic outcomes.
6. Plan a sensitivity analysis to see which assumptions most change your results and which ones stay stable.

Common Pitfalls

• Using a model that matches the final adoption rate but misses the timing of uptake, which can hide a bad fit.
• Treating all homeowners as identical, which removes the behavior that drives adoption patterns.
• Ignoring spatial differences in lots or drainage, which can make runoff estimates unrealistic.
• Calibrating with too little city data, which makes the model look precise when it is really underfit.
• Comparing rebate policies without checking whether the runoff benefit depends on where adoption happens.

What Makes This Competitive

A stronger version of this project goes beyond a simple simulation. You would test whether your model can match real uptake data, not just generate plausible curves. You would also compare more than one policy design and use sensitivity analysis to show which assumptions matter most. If you connect adoption behavior to runoff outcomes in a clear way, your project starts looking like real policy research.

Project Variations

• Focus on townhouse neighborhoods instead of single-family homes, since adoption barriers may be different.
• Swap rebate policy for outreach intensity and test whether information alone changes uptake.
• Compare permeable pavement with rain barrels or bioswales to see which intervention gives the best runoff benefit per dollar.

Learn More

• EPA Storm Water Management Model: Search the EPA site for SWMM documentation, user manuals, and tutorials.
• USGS Water Science School: Find clear explanations of runoff, infiltration, and watershed processes.
• NOAA Atlas 14: Look up local rainfall intensity data for stormwater scenario building.
• PubMed: Search for review articles on permeable pavement performance and urban stormwater management.
• MIT OpenCourseWare Urban Studies and Planning materials: Find free lecture notes on land use, policy modeling, and simulation methods.
• QGIS Documentation: Use the official help pages for mapping parcels and drainage layers.