TY - GEN
T1 - A distributed decision support system for watershed quality management
AU - Vogel, Richard
AU - Limbrunner, James
AU - Chapra, Steven
AU - Kirshen, Paul
PY - 2005
Y1 - 2005
N2 - A distributed watershed model of stormwater and nutrient transport is developed and tested for an urban watershed in northeastern U.S.. The watershed simulation model is then combined with a genetic algorithm (GA) and an economic model of best management paractices (BMPs) to determine the optimal number and location of BMPs for both stormwater and nutrient management. The distributed hydrologic model integrates the Curve Number method and land-use specific nutrient export coefficients with a hydrologic network model of the catchment using a system of over 4,000 hydrologic response units (HRUs). BMPs were conceptualized as elements that alter the infiltration/runoff partitioning and nutrient fate within the HRUs to which they were applied. The results indicate that the optimal location and number of BMP's is a complex function of nutrient source locations, watershed network connectivity, land-use, distance to channel and contributing area, and other factors, requiring an optimization approach of the type introduced here. Water quantity and quality goals are also explored in a multi-objective framework.
AB - A distributed watershed model of stormwater and nutrient transport is developed and tested for an urban watershed in northeastern U.S.. The watershed simulation model is then combined with a genetic algorithm (GA) and an economic model of best management paractices (BMPs) to determine the optimal number and location of BMPs for both stormwater and nutrient management. The distributed hydrologic model integrates the Curve Number method and land-use specific nutrient export coefficients with a hydrologic network model of the catchment using a system of over 4,000 hydrologic response units (HRUs). BMPs were conceptualized as elements that alter the infiltration/runoff partitioning and nutrient fate within the HRUs to which they were applied. The results indicate that the optimal location and number of BMP's is a complex function of nutrient source locations, watershed network connectivity, land-use, distance to channel and contributing area, and other factors, requiring an optimization approach of the type introduced here. Water quantity and quality goals are also explored in a multi-objective framework.
UR - https://www.scopus.com/pages/publications/27744608652
UR - https://www.scopus.com/pages/publications/27744608652#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:27744608652
SN - 0784407630
T3 - Proceedings of the 2005 Watershed Management Conference - Managing Watersheds for Human and Natural Impacts: Engineering, Ecological, and Economic Challenges
SP - 889
BT - Managing Watersheds for Human and Natural Impacts
A2 - Moglen, G.E.
T2 - 2005 Watershed Management Conference - Managing Watersheds for Human and Natural Impacts: Engineering, Ecological, and Economic Challenges
Y2 - 19 July 2005 through 22 July 2005
ER -