State Water Resources Research Institute Program


Project Id: 2010MI165B
Title: Runoff Reduction Credits for Low Impact Development Facilities
Project Type: Research
Start Date: 3/01/2010
End Date: 2/28/2011
Congressional District: 8
Focus Categories: Water Quantity, Water Quality, Models
Keywords: Runoff Reduction, Low Impact Development
Principal Investigator: Nejadhashemi, Amirpouyan (Michigan State University )
Federal Funds: $ 15,000
Non-Federal Matching Funds: $ 37,972
Abstract: Problem
Environmental and social changes in the urban environment are the result of rapid growth of this sector. Urban best management practices (BMPs) are well known techniques that have been introduced to manage stormwater and control pollution from developed areas through natural processes. However, selection of effective BMPs is one of the key challenges faced when trying to protect water quality.

Assessing BMP performance is commonly done using percent removal of the pollutant leaving the BMP (percent difference between the inflow and outflow concentrations). This approach is simple but has many shortcomings. For example, the ability of a BMP to reduce overall volume of runoff in addition to pollutant concentration is not accounted for in the percent removal method.

Methods
After performing a comprehensive literature review on runoff reduction performance of various urban BMPs, we plan to develop a user-friendly assessment tool (computer software). This tool will aid designers and engineers in identifying the best possible management practices considering both runoff and pollutant load reduction. Three modules are included in the tool: 1) BMP Runoff Reduction Performance Module; 2) BMP Influent/Effluent Quality Module; 3) Total Pollution Load Mitigation Module.

Objectives
The following objectives will be completed to address the project goal:

  1. Synthesize current literature and databases related to the runoff prediction capabilities for various urban BMPs.
  2. Develop a user-friendly assessment tool to estimate BMP effectiveness on runoff reduction capacity, performance under different influent qualities, and total pollutant load mitigation based on site-specific factors.
Progress/Completion Report, 2010, PDF

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