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MAWP BMP Models

Mid-Atlantic Water Program (MAWP) BMP Project Models

Agriculture

  • SWAT is a river basin scale model developed to quantify the impact of land management practices in large, complex watersheds
  • AGNPS is a distributed event-based model that simulates surface runoff, sediment, and nutrient transport, primarily from agricultural watersheds.
  • GWLF provides the ability to simulate runoff, sediment, and nutrient (N and P) loadings from a watershed given variable-size source areas (e.g., agricultural, forested, and developed land). It also has algorithms for calculating septic system loads, and allows for the inclusion of point source discharge data.

Urban

  • P8-UCM: Program for Predicting Polluting Particle Passage through Pits, Puddles, and Ponds—Urban Catchment Model - P8 is a model for predicting the generation and transport of stormwater pollutants in urban watersheds. Continuous water balance and mass balance calculations are performed on a user-defined system consisting of watersheds, devices (runoff storage/treatment areas, BMPs), particle classes, and water quality components.
  • SWMM: The EPA Storm Water Management Model (SWMM) is a dynamic rainfall-runoff simulation model used for single event or long-term (continuous) simulation of runoff quantity and quality from primarily urban areas. The runoff component of SWMM operates on a collection of subcatchment areas that receive precipitation and generate runoff and pollutant loads.
  • SUSTAIN: To assist stormwater management professionals in planning for best management practices (BMPs) and low-impact developments (LIDs) implementation, USEPA is developing a decision support system, called the System for Urban Stormwater Treatment and Analysis INtegration (SUSTAIN). This tool will help develop, evaluate, select, and place BMP/LID options. SUSTAIN, a generic public domain framework, will provide a thorough, practical, and informative assessment of management alternatives considering the economic, environmental, and engineering factors.


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