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Development of an Improved Approach for Selecting Storm-Water Best Management Practices
This paper discusses the development of a software-aided approach to best management practice (BMP) selection. Supported with input from a geographic information system (GIS), this software provides an algorithmic, mathematically based alternative to the inherently subjective approaches currently used to choose BMPs for management of storm-water runoff. The BMP selection software was applied to a study site located in the town of Blacksburg, Virginia. The software was utilized to identify BMP alternatives for a distributed storm-water management approach on the site. When compared with a base model with no runoff management, the traditional, detention-based management approach yielded 13.0&percent; greater runoff rate reduction than did the distributed model. By contrast, the distributed storm-water management approach greatly outperformed the detention-based approach in removing pollutants from surface runoff. Although both runoff management strategies removed a significant portion of suspended sediment from the demonstration site’s runoff, the distributed model achieved a nearly 40&percent; greater removal efficiency. Similarly, although both runoff management approaches remove a significant portion of total phosphorus from the demonstration site’s runoff, the distributed model achieved a 38&percent; greater removal efficiency.
Development of an Improved Approach for Selecting Storm-Water Best Management Practices
This paper discusses the development of a software-aided approach to best management practice (BMP) selection. Supported with input from a geographic information system (GIS), this software provides an algorithmic, mathematically based alternative to the inherently subjective approaches currently used to choose BMPs for management of storm-water runoff. The BMP selection software was applied to a study site located in the town of Blacksburg, Virginia. The software was utilized to identify BMP alternatives for a distributed storm-water management approach on the site. When compared with a base model with no runoff management, the traditional, detention-based management approach yielded 13.0&percent; greater runoff rate reduction than did the distributed model. By contrast, the distributed storm-water management approach greatly outperformed the detention-based approach in removing pollutants from surface runoff. Although both runoff management strategies removed a significant portion of suspended sediment from the demonstration site’s runoff, the distributed model achieved a nearly 40&percent; greater removal efficiency. Similarly, although both runoff management approaches remove a significant portion of total phosphorus from the demonstration site’s runoff, the distributed model achieved a 38&percent; greater removal efficiency.
Development of an Improved Approach for Selecting Storm-Water Best Management Practices
Young, Kevin D. (author) / Dymond, Randel L. (author) / Kibler, David F. (author)
Journal of Water Resources Planning and Management ; 137 ; 268-275
2011-05-01
8 pages
Article (Journal)
Electronic Resource
English
Development of an Improved Approach for Selecting Storm-Water Best Management Practices
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