Based on the estimated implementation costs and effectiveness of the evaluated stormwater management measures and agricultural BMPs, a multi-objective and multi-level mathematical programming model will be developed to determine the optimal allocation of load reductions in fecal coliform, total phosphorus, and TSS among the different pollution sources at subwatershed and watershed levels and the optimal spatial patterns of management measures and BMPs for achieving locally defined load reductions in those pollutants in the watershed. An optimal spatial pattern of BMPs and management measures geographically presents where and what those practices should take places to achieve the desired water quality changes in the watershed in the minimal implementation costs. The model can be expanded in many different ways to account for the complexity of the decision of BMP adoption in landscape, complexity of hydrological processes and uncertainty of climate change and weather conditions by changing the objective function , adding and/or redefining additional constraints.

NJIT will be responsible for this task.

Progress and Status:

Results and Outcomes: