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- W2912582147 abstract "The installation of Green Infrastructure (GI) can revitalize communities while reducing sewage overflows and improving runoff quality. However, determining the proper GI investment is a challenging management task. Numerical hydrologic models, such as the Storm Water Management Model (SWMM), are the primary design tool for GI. A new open-source multi-objective SWMM optimization tool was developed by connecting SWMM with the existing Optimization Software Toolkit for Research Involving Computational Heuristics (OSTRICH). In contrast to similar tools, it is open-source and has a large selection of parallelized algorithms. A case study of stormwater management in Buffalo, New York, demonstrated how the tool can illuminate trade-offs between the cost of rain barrel placement and the resulting reduction in combined sewer overflows. In the future, this tool could be used to optimize different types of GI features and contribute to a broader decision support framework for urban land use and stormwater management." @default.
- W2912582147 created "2019-02-21" @default.
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- W2912582147 date "2019-02-01" @default.
- W2912582147 modified "2023-09-25" @default.
- W2912582147 title "Newborn genome editing improves phenotype, cardiovascular, respiratory, and bone disease in mucopolysaccharidosis type I mice" @default.
- W2912582147 doi "https://doi.org/10.1016/j.ymgme.2018.12.341" @default.
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