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Related Experiment Video

Updated: Jun 16, 2026

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Published on: November 18, 2015

Linking MODFLOW with an agent-based land-use model to support decision making.

Howard W Reeves¹, Moira L Zellner

¹Department of Urban Planning and Policy, College of Urban Planning and Public Affairs, University of Illinois at Chicago, 412 S Peoria Street, MC 348, Chicago, IL 60607-7064, USA. hwreeves@usgs.gov

|February 6, 2010

Summary

This summary is machine-generated.

This study integrates the MODFLOW groundwater model with a land-use model to simulate environmental planning. The new simulator shows how zoning policies impact urban form and groundwater levels.

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Area of Science:

Environmental modeling
Hydrology
Urban planning

Background:

Groundwater flow models like MODFLOW traditionally require user-defined stresses.
Land-use changes significantly impact groundwater resources.
Participatory modeling frameworks benefit from integrated simulation tools.

Purpose of the Study:

To integrate the MODFLOW groundwater model with an agent-based land-use model.
To create a simulator for environmental planning and participatory modeling.
To analyze the impacts of zoning policies on urban form and groundwater levels.

Main Methods:

Integration of the U.S. Geological Survey's MODFLOW model with an agent-based land-use model.
Development of a simulator for organizing information and illustrating system responses.
Scenario analysis of different zoning policies.

Main Results:

The integrated simulator effectively represents system complexity.
Initial results demonstrate the impact of zoning policies on urban form and groundwater levels.
The simulator generates groundwater stresses dynamically within the simulation.

Conclusions:

The integrated simulator offers a novel approach to environmental planning studies.
This tool facilitates communication and understanding of complex system interactions.
It advances groundwater modeling by automating stress generation.