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Related Experiment Videos

BMP analysis system for watershed-based stormwater management.

Jenny Zhen1, Leslie Shoemaker, John Riverson

  • 1Tetra Tech, Inc., Fairfax, Virginia 22030, USA. jenny.zhen@tetratech-ffx.com

Journal of Environmental Science and Health. Part A, Toxic/Hazardous Substances & Environmental Engineering
|July 21, 2006
PubMed
Summary

Prince George's County developed GIS tools to optimize stormwater management, integrating Best Management Practices (BMPs) for cost-effective pollution control. This system aids in planning and selecting BMPs to meet environmental goals and reduce costs.

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Area of Science:

  • Environmental Engineering
  • Water Resource Management
  • Geographic Information Systems (GIS)

Background:

  • Nonpoint source (NPS) pollution from stormwater runoff poses challenges for urban and developing areas.
  • Effective stormwater management planning is crucial for mitigating environmental impacts and ensuring cost-effectiveness.
  • Prince George's County, Maryland, has developed advanced tools for watershed-level stormwater management.

Purpose of the Study:

  • To present a novel system for stormwater management planning and design at the watershed level.
  • To demonstrate the integration of GIS, BMP simulation, and optimization techniques.
  • To identify cost-effective Best Management Practices (BMPs) for reducing stormwater runoff and pollution.

Main Methods:

  • Development of a GIS-based software system utilizing ESRI ArcGIS.

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  • Integration of BMP process simulation models sensitive to local climate and rainfall.
  • Application of meta-heuristic optimization for cost-effective BMP placement and selection.
  • Case study analysis in the Anacostia River watershed.

    • Main Results:

    • The system provides GIS-based visualization and decision support for BMP networks.
    • Process-based BMP simulation allows for flexible evaluation of design alternatives.
    • Optimization techniques identified cost-effective BMP combinations for managing runoff and combined sewer overflows.
    • Proposed BMPs include bioretention, green roofs, and rain barrel systems.

    Conclusions:

    • The developed system effectively supports watershed analysis and stormwater management planning.
    • Integrating simulation and optimization leads to cost-effective solutions for NPS pollution control.
    • The approach aids in achieving environmental goals, such as improved water quality and reduced sewer overflows.
    • This methodology offers a valuable tool for both research and regulatory assessment of nonpoint source pollution control efforts.