BMP Trains

Download BMP Trains 2020

Martin Wanielista, University of Central Florida

BMP Trains 2020 is an improvement from all previous versions – most notably because of the departure from the Microsoft Excel platform to being programmed and compiled using the C++ programming language. The entire user interface and much of the internal function has been completely overhauled, while still preserving the essential goal of quantifying pre- and post-development average annual nutrient loadings (Nitrogen and Phosphorus) and determining the average annual effectiveness of a wide variety of Best Management Practices (BMPs) for the nutrients’ removal. The research by Dr. Harvey Harper, Dr. Marty Wanielista, Dr. Mike Hardin, Eric Livingston, and others in computing nutrient loads and BMP removal effectiveness continues to be the backbone of the program.

Abstract

BMP Trains 2020 is an improvement from all previous versions – most notably because of the departure from the Microsoft Excel platform to being programmed and compiled using the C++ programming language. The entire user interface and much of the internal function has been completely overhauled, while still preserving the essential goal of quantifying pre- and post-development average annual nutrient loadings (Nitrogen and Phosphorus) and determining the average annual effectiveness of a wide variety of Best Management Practices (BMPs) for the nutrients’ removal. The research by Dr. Harvey Harper, Dr. Marty Wanielista, Dr. Mike Hardin, Eric Livingston, and others in computing nutrient loads and BMP removal effectiveness continues to be the backbone of the program.

The program preserves the methodologies used to assess average annual effectiveness as currently used by consultants and professional within the State of Florida. The program has been reviewed by State agencies as well as consultants. The reviewers include staff from the Florida Department of Transportation, Florida Department of Environmental Protection, Water Management Districts, and local agencies. Where there is doubt as to model parameters (input data), the option for user inputs has been preserved.

It is understood that BMP Trains 2020 reflects current state-of-the art methods that are used to determine average annual effectiveness of stormwater best management practices (BMPs). The authors appreciate the input from all of the reviewers and are committed to making changes as the science and engineering changes are approved by reviewing agencies.