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Related Experiment Videos

Life cycle optimisation for highway best management practices.

J G Lee1, J P Heaney, D N Rapp

  • 1Department of Civil, Environmental, and Architectural Engineering, University of Colorado, 428 Engineering Center, Boulder, Colorado 80309-0428, USA.

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|November 24, 2006
PubMed
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Highway runoff pollutes waterways. This study presents a model to optimize stormwater best management practices (BMPs) for cost-effective, long-term water quality control in highway drainage systems.

Area of Science:

  • Environmental Engineering
  • Water Resource Management
  • Transportation Infrastructure

Background:

  • Highway runoff presents significant water quantity and quality challenges.
  • Current stormwater management focuses on rapid drainage, often neglecting non-point source pollution.
  • Growing concerns exist regarding the impact of highway runoff on receiving water bodies.

Purpose of the Study:

  • To introduce a continuous simulation/optimisation model for integrated highway best management practices (BMPs).
  • To evaluate the long-term performance of infiltration and/or storage-based highway BMPs.
  • To identify cost-effective BMP implementation strategies over a specified lifecycle.

Main Methods:

  • Development of a continuous simulation/optimisation model.

Related Experiment Videos

  • Analysis of integrated highway BMPs, focusing on infiltration and storage.
  • Integration with spreadsheet optimisation tools for cost-benefit analysis.

    • Main Results:

    • The model effectively evaluates the life cycle performance of various highway BMPs.
    • It facilitates the analysis of integrated approaches to stormwater management.
    • The optimisation capability allows for the identification of least-cost BMP solutions.

    Conclusions:

    • Integrating stormwater quality control into highway design and operation is crucial.
    • The presented model provides a valuable tool for assessing and optimizing highway BMPs.
    • This approach supports sustainable and cost-effective management of highway runoff impacts.