期刊
ENVIRONMENTAL MODELLING & SOFTWARE
卷 50, 期 -, 页码 158-168出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2013.09.009
关键词
Multiobjective; Differential evolution; Robustness to uncertainty; Stormwater management; Best management practices (BMPs); Total maximum daily load (TMDL)
类别
资金
- VT EPSCoR Grant NSF EPS [0701410]
- USGS [06HQGR0123]
- EPSCoR
- Office Of The Director [0701410] Funding Source: National Science Foundation
One challenge of climate change adaptation is to design watershed-based stormwater management plans that meet current total maximum daily load targets and also take into consideration anticipated changes in future precipitation patterns. We present a multi-scale, multiobjective framework for generating a diverse family of stormwater best management practice (BMP) plans for entire watersheds. Each of these alternative BMP configurations are non-dominated by any other identified solution with respect to cost of the implementation of the management plan and sediment loading predicted at the outflow of the watershed; those solutions are then pruned with respect to dominance in sensitivity to predicted changes in precipitation patterns. We first use GIS data to automatically precompute a set of cost-optimal BMP configurations for each subwatershed, over its entire range of possible treatment levels. We then formulate each solution as a real-valued vector of treatment levels for the subwatersheds and employ a staged multiobjective optimization approach using differential evolution to generate sets of non-dominated solutions. Finally, selected solutions are mapped back to the corresponding preoptimized BMP configurations for each subwatershed. The integrated method is demonstrated on the Bartlett Brook mixed-used impaired watershed in South Burlington, VT, and patterns in BMP configurations along the non-dominated front are investigated. Watershed managers and other stakeholders could use this approach to assess the relative trade-offs of alternative stormwater BMP configurations. (C) 2013 Elsevier Ltd. All rights reserved.
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